This chapter contains sections titled: AIDS as a Gay Disease? Features of the Bareback Video Cultural Responses to the Bareback Video The Language of the Bareback Experience Plenitude and the Death Drive in Bareback Porn Notes.

Aiming at the problem of low accuracy of edge detection of the film and television lens, a new SIFT feature-based camera detection algorithm was proposed. Firstly, multiple frames of images are read in time sequence and converted into grayscale images. The frame image is further divided into blocks, and the average gradient of each block is calculated to construct the film dynamic texture. The correlation of the dynamic texture of adjacent frames and the matching degree of SIFT features of (...) two frames were compared, and the predetection results were obtained according to the matching results. Next, compared with the next frame of the dynamic texture and SIFT feature whose step size is lower than the human eye refresh frequency, the final result is obtained. Through experiments on multiple groups of different types of film and television data, high recall rate and accuracy rate can be obtained. The algorithm in this paper can detect the gradual change lens with the complex structure and obtain high detection accuracy and recall rate. A lens boundary detection algorithm based on fuzzy clustering is realized. The algorithm can detect sudden changes/gradual changes of the lens at the same time without setting a threshold. It can effectively reduce the factors that affect lens detection, such as flash, movies, TV, and advertisements, and can reduce the influence of camera movement on the boundaries of movies and TVs. However, due to the complexity of film and television, there are still some missing and false detections in this algorithm, which need further study. (shrink)

As one of the most widely used methods in deep learning technology, convolutional neural networks have powerful feature extraction capabilities and nonlinear data fitting capabilities. However, the convolutional neural network method still has disadvantages such as complex network model, too long training time and excessive consumption of computing resources, slow convergence speed, network overfitting, and classification accuracy that needs to be improved. Therefore, this article proposes a dense convolutional neural network classification algorithm based on texture features for images in (...) virtual reality videos. First, the texture feature of the image is introduced as a priori information to reflect the spatial relationship between pixels and the unique characteristics of different types of ground features. Second, the grey level cooccurrence matrix is used to extract the grey level correlation features of the image in space. Then, Gauss Markov Random Field is used to establish the statistical correlation characteristics between neighbouring pixels, and the extracted GLCM-GMRF texture feature and image intensity vector are combined. Finally, based on DenseNet, an improved shallow layer dense convolutional neural network is proposed, which can compress network parameters and improve the feature extraction ability of the network. The experimental results show that compared with the current classification method, this method can effectively suppress the influence of coherent speckle noise and obtain better classification results. (shrink)

Historically, video games featuring content perceived as excessively violent have drawn moral criticism from an indignant (and sometimes, morally outraged) public. Defenders of violent video games have insisted that such criticisms are unwarranted, as committing acts of virtual violence against computer-controlled characters – no matter how heinous or cruel those actions would be if performed in real life – harm no actual people. In this paper, I present and critically analyze key aspects of this debate. I argue that (...) while many ethical objections to playing violent video games seem to miss their marks, there is sufficient reason to take modest steps in order to address the concerns that theorists have raised. (shrink)

In this paper, I deal with video data not as a transparent window on social interaction but as a situated product of video practices. This perspective invites an analysis of the practices of video-making, considering them as having a configuring impact on both on the way in which social interaction is documented and the way in which it is locally interpreted by video-makers. These situated interpretations and online analyses reflexively shape not only the record they produce (...) but also the interactional order itself as it is documented. Dealing with practices of video-making not as a resource but as a topic, I explore a particular editing practice, the use of the split-screen technique, consisting in combining various camera views within the same image. This technique is now widely used in cinema, professional settings, TV, and social research. I focus on its uses in TV talk shows and debates: through a systematic sequential analysis of the positions where split screen is introduced, I show that directors do orient to the sequential features of interaction in using this technique and that, conversely, their uses of split screen reveal their local understanding—and configuring—of what the interactional dimension of debates and interviews consist of, for all practical purposes. (shrink)

In their reply to my recent paper on Munchausen's syndrome by proxy, Professor Southall and Dr. Samuels concede that some things may be learned from my observations. They do not attend to the main argument of the paper, however, that the proportion of research interest in their use of covert video surveillance merits consideration of the research protocol by an independent research ethics committee. It will not do simply to assert that the use of this technology for the purposes (...) outlined in their accounts is not research. I formulated arguments based on facts divulged in those published accounts for regarding their work as containing a considerable proportion of research activity. Unfortunately their reply did not address these arguments. Until such points are adequately answered the protection of patients calls for satisfactory judgments to be made on certain important issues which any research ethics committee would be obliged to consider in an evaluation of their activities. I suggest that some of these features will create more difficulties for approval of such a protocol than others. (shrink)

In this paper I examine a specific way that video-conferencing modifies structures of intersubjective awareness and interaction. I focus on multi-person interactions (involving more than two people) via video-call. By unpacking some of the key features of multi-person intersubjectivity in cases of embodied co-presence, I will show where and how certain social affordances are strained or lost when multi-person interactions are transferred to the screen.

The starting point of this conversation with philosopher Mathieu Triclot is the issue of the causal contribution of video game playing in school shootings. Triclot explains the limitations of current psychological approaches regarding video game violence. He further develops on the peculiar features of the video game medium and how they relate to the problem of violence. Triclot eventually shows that, although players may relate to virtual violence in very different ways, violence in video games (...) is not merely a subjective phenomenon. He highlights that some “regimes of experience,” which got stable in the video game culture, cultivate a toxic relation to violence. (shrink)

In the Internet age, information security is threatened anytime and anywhere and the copyright protection of audio and video as well as the need for matching detection is increasingly strong. In view of this need, this paper proposes a zero-watermarking algorithm for audio and video matching based on NSCT. The algorithm uses NSCT, DCT, SVD, and Schur decomposition to extract video features and audio features and generates zero-watermark stream through synthesis, which is stored in a (...) third-party organization for detection and identification. The detection algorithm can obtain zero watermark from the audio and video to be tested and judge and locate tampering by comparing with the zero watermark of the third party. From the experimental results, this algorithm can not only detect whether the audio and video are mismatched due to tampering attacks but also locate the mismatched audio and video segments and protect the copyright. (shrink)

Loot Boxes, i.e., virtual items embedded within video games with numerous features reminiscent of gambling, are increasingly widespread among adolescents. LB use is associated with problem gambling in youth, but few studies have been conducted on the association between LB use and gambling behavior considering adolescents. Thus, the mechanisms underlying this relationship are not clear. As LB use is a significant and positive risk factor for video gaming severity, and video gaming is associated with problem gambling, (...) we hypothesized that LB use would be related to gambling frequency and problem gambling through the intermediary role of video gaming frequency and problem video gaming. We tested our hypothesis before COVID-19-pandemic-related lockdown and during COVID-19-pandemic-related lockdown, in Italy. Study 1 was conducted with 1,078 high school students before COVID-19-pandemic-related lockdown, and Study 2 was conducted with 1,204 high school students during COVID-19-pandemic-related lockdown. A path analysis was carried out to analyze the significance of indirect effects from LB use to gambling behavior and problem gambling through video gaming and problem video gaming. In both the studies, results showed that LB use exerted significant and positive direct effects on video gaming frequency, problem video gaming, and gambling frequency. Moreover, LB use had indirect significant and positive effects on problem gambling through video gaming frequency, problem video gaming, and gambling frequency. Findings attest that LB use can be related to problem gambling through a greater involvement in videogames. Thus, a specific subtype of young gamblers can develop Gambling Disorder symptoms from the use of LBs and through an intense use of video games. Practical implications for prevention and treatment are discussed. (shrink)

In this paper, I consider a particular amoralist challenge against those who would morally criticize our single-player video play, viz., “come on, it’s only a game!” The amoralist challenge with which I engage gains strength from two facts: the activities to which the amoralist lays claim are only those that do not involve interactions with other rational or sentient creatures, and the amoralist concedes that there may be extrinsic, consequentialist considerations that support legitimate moral criticisms. I argue that the (...) amoralist is mistaken and that there are non-consequentialist resources for morally evaluating our single-player game play. On my view, some video games contain details that anyone who has a proper understanding of and is properly sensitive to features of a shared moral reality will see as having an incorrigible social meaning that targets groups of individuals, e.g., women and minorities. I offer arguments to support the claim that there are such incorrigible social meanings and that they constrain the imaginative world so that challenges like “it’s only a game” lose their credibility. I also argue that our responses to such meanings bear on evaluations of our character, and in light of this fact video game designers have a duty to understand and work against the meanings of such imagery. (shrink)

As one of the traditional entertainment items, video background music has gradually changed from traditional consumption to network consumption, which naturally also has the problem of information overload. From the perspective of model design and auxiliary information, this paper proposes a tightly coupled fusion model based on deep learning and collaborative filtering to alleviate the problem of poor prediction accuracy due to sparse matrix in the scoring prediction problem. In the use of auxiliary information, this paper uses crawler technology (...) to obtain auxiliary information on the user side and the video background music side and compensates for the model’s sensitivity to the sparsity of the score matrix from a data perspective. In terms of model design, this paper conducts auxiliary information mining based on the diversity and structural differences of auxiliary information, uses an improved stack autoencoder to learn user’s interests, and uses convolutional neural networks to mine hidden features of video background music. Based on the idea of probabilistic matrix decomposition, the tightly coupled fusion of multiple deep learning models and collaborative filtering is realized. By comprehensively considering user’s interest and video background music characteristics, the collaborative filtering process is supervised, and the optimized prediction result is finally obtained. The performance test and function test of the system were carried out, respectively, to verify the effectiveness of the hybrid recommendation algorithm and the effect of the system for recommendation. Through experimental analysis, it is proved that the algorithm designed in this paper can improve the recommendation quality and achieve the expected goal. (shrink)

The intelligent transportation system under the big data environment is the development direction of the future transportation system. It effectively integrates advanced information technology, data communication transmission technology, electronic sensing technology, control technology, and computer technology and applies them to the entire ground transportation management system to establish a real-time, accurate, and efficient comprehensive transportation management system that works on a large scale and in all directions. Intelligent video analysis is an important part of smart transportation. In order to (...) improve the accuracy and time efficiency of video retrieval schemes and recognition schemes, this article firstly proposes a segmentation and key frame extraction method for video behavior recognition, using a multi-time scale dual-stream network to extract video features, improving the efficiency and efficiency of video behavior detection. On this basis, an improved algorithm for vehicle detection based on Faster R-CNN is proposed, and the Faster R-CNN network feature extraction layer is improved by using the principle of residual network, and a hole convolution is added to the network to filter out the redundant features of high-resolution video images to improve the problem of vehicle missed detection in the original algorithm. The experimental results show that the key frame extraction technology combined with the optimized Faster R-CNN algorithm model greatly improves the accuracy of detection and reduces the leakage. The detection rate is satisfactory. (shrink)

The extent to which game play is experienced as engaging is an important criterion for the playability of video games. This study investigates how video games can be designed towards increased levels of experienced engagement over time. For this purpose, two experiments were conducted in which a total of 35 participants repeatedly played a video game. Results indicate that experienced engagement is based on the extent to which the game provides rich experiences as well as by the (...) extent to which the game provides a sense of control. In view of the influence of both game features and players’ expertise on the levels of experienced richness and control, it is concluded that game features should be modified over time to maintain optimal levels of engagement. (shrink)

Many video games require complex, rapid sequences of skilled bodily movements in order to complete game-world tasks. It is not unreasonable to think that this might interfere with our ability to aesthetically appreciate such video games. I present two versions of this argument from extreme difficulty: a strong version and a weak version. While extant treatments of the aesthetics of video games can be used to rebut the strong version, the weak version remains recalcitrant. I develop a (...) reply to the weak version, use it to clarify key features of reasons used by video-game critics to argue in favor of their critical judgments, and to illuminate the development of video games over time. (shrink)

This article examines the trend of looping videos online. It distinguishes between different types of loops (photography-based and video loops) and their functions (background and foreground). It also argues that the loop through its unit multiplication serves the human need for duration, self-reference and communication.

In this paper, I raise several concerns for what I call the willing endorsement view of moral responsibility in videogames. Briefly, the willing endorsement view holds that players are appropriate targets of moral judgments when their actions reflect their true, real-world selves. In the first section of the paper, I argue that core features of the willing endorsement view are widely implicitly accepted among philosophers engaging in discussions of morality in games. I then focus on a particularly clear recent (...) version of the view defended by Christopher Bartel. In the second and third sections, I raise several worries for Bartel’s version of the willing endorsement view. In the fourth section, I argue that these worries are not unique to Bartel’s view, but instead result from the view of identity implicit in the willing endorsement view. I conclude by suggesting a path forward by rejecting this view of identity. (shrink)

This article explores how the Crash Course video series are being used as a content-focused resource in the social studies classroom. It argues that the Crash Course series, alongside its YouTube competitors, has significantly stepped in to fill a vacuum left by criticisms and the unpopularity of lectures, textbooks, and feature films. With over 15 million subscribers and accumulated views over 1.9 billion, Crash Course has become an important and ubiquitous force in history and social studies classrooms and represents (...) a new genre of educational media found on YouTube. However, the dramatic rise in the popularity of educational videos online has not coincided with a growth in educational research, particularly in social studies and history education. This article explores the findings of a mixed-methods study that examines how and why history and social studies teachers are using Crash Course videos in their teaching and planning. In particular, it analyses descriptive statistics derived from the results of a teacher survey ( n = 181) and semi-structured interviews with seven social studies teachers who have used Crash Course in their classrooms. The authors found that teachers in the study are regularly using the Crash Course video series to deliver content which is clearly meeting a need many social studies teachers have. The videos–short, easily accessible, and fun–fit nicely with demands to keep students engaged, reduce reliance on textbooks, and explore new content that teachers have little time to learn themselves. This study also found that rarely, if ever, are teachers inviting students to evaluate or assess the content, trustworthiness, or perspective of Crash Course videos. This article discusses what is gained and what are the risks of embracing Crash Course in the social studies and history classroom. (shrink)

The COVID-19 pandemic has shed new light on some significant problems that have been present in the education systems for decades. Тhe lack of various educational methods is becoming more and more evident, leading to a decreasing interest in learning and critical thinking. Оn the other hand, more and more research shows that different types of digital games can enhance creative and critical thinking in students. А closer look at the requirements of the educational programs shows how strict they are (...) in their demands on students. Digital games like role playing games can be a bridge between students’ imaginations and complex educational material. Video games feature a variety of game mechanics that stimulate creative thinking and spark interest in otherwise difficult to understand topics. Motivation and engagement in digital games can be used in a specific way for educational purposes. If we think of teaching as an art in itself, what better method of teaching than through interactive arts. (shrink)

In this study, we use a conversation analysis framework to understand the systematic organization of interactions in Periscope live video streams, and its crucial features: the talking heads orientation for the video stream, in common with video-mediated communication; the expectation that the streamer should attend to all messages as much as possible; the ‘loose’ organization of viewers’ responses to streamers’ turn-at-talk, as in multi-party chats. We also identify a distinctive design for streamers’ responses to messages, the (...) ‘read-aloud and respond’ practice. These distinctive features are oriented to the highly asymmetrical communicative affordances of Periscope streams. Without precluding other forms of Periscope-based activities, this systematic organization of talk and messages, coupled with the affordances of the application, favors a basic mode of topic initiation resting on a typical and minimal adjacent pair: viewer’s noticing/streamers’ reading and responding. We argue that the particular salience of this organization of topic initiation may account for the emergence of the dominant kind of use for Periscope streams, that is, the online public exposure of youth to strangers in order to elicit some conversation. (shrink)

IntroductionThe assisted reproductive technology field deals with consistent and predictable gaps in knowledge. Expressing lack of knowledge with a sentence like “I don’t know” can be challenging for doctors. This study examined physicians’ negative epistemic disclaimer “non lo so” in Italian ART doctor-couple interactions. In particular, it aimed to reveal specific features of “non lo so”: function, topic, temporality, responsibility, and interactional aspects.MethodsThis was a video-based observational study. We used microanalysis of face-to-face dialogue to analyze 20 purposively selected (...) triadic consultations from a corpus of 85. This inductive analysis focused on the function, the content and some selected interactional aspects of the “non lo so”, quantifying and capturing the interaction between these qualitative features.ResultsWe found 82 doctors’ “non lo so” in the corpus. We discovered three main functions of this expression: propositional, relational, discursive. The most frequent topics raising doctors’ “non lo so” were costs, treatment-related aspects, and timing issues. In more than half of the cases, present issues emerged. The majority of “non lo so” was framed using the “I,” with doctors’ taking personal responsibility. Patients played a role in these expressions from doctors: Patients initiated more than one third of them, and in one fourth of the cases, patients followed up immediately.ConclusionOur findings may be related to characteristics of the specific field of ART. Doctors in this setting must frequently express a direct lack of knowledge to their patients, and when they do, they mean it literally. Patients contribute to such disclosures, and their responses suggest that they find them acceptable, showing that they may expect limitations in their potential to conceive. (shrink)

Passive Brain-Computer interfaces (pBCIs) are a human-computer communication tool where the computer can detect from neurophysiological signals the current mental or emotional state of the user. The system can then adjust itself to guide the user towards a desired state. One challenge facing developers of pBCIs is that the system's parameters are generally set at the onset of the interaction and remain stable throughout, not adapting to potential changes over time such as fatigue. The goal of this paper is to (...) investigate the improvement of pBCIs with settings adjusted according to the information provided by a second neurophysiological signal. With the use of a second signal, making the system a hybrid pBCI, those parameters can be continuously adjusted with dynamic thresholding to respond to variations such as fatigue or learning. In this experiment, we hypothesize that the adaptive system with dynamic thresholding will improve perceived game experience and objective game performance compared to two other conditions: an adaptive system with single primary signal biocybernetic loop and a control non-adaptive game. A within-subject experiment was conducted with 16 participants using three versions of the game Tetris. Each participant plays 15 minutes of Tetris under three experimental conditions. The control condition is the traditional game of Tetris with a progressive increase in speed. The second condition is a cognitive load only biocybernetic loop with the parameters presented in Ewing et al. (2016). The third condition is our proposed biocybernetic loop using dynamic threshold selection. Electroencephalography was used as the primary signal and automatic facial expression analysis as the secondary signal. Our results show that, contrary to our expectations, the adaptive systems did not improve the participants' experience as participants had more negative affect from the BCI conditions than in the control condition. We endeavored to develop a system that improved upon the authentic version of the Tetris game, however, our proposed adaptive system neither improved players’ perceived experience, nor their objective performance. Nevertheless, this experience can inform developers of hybrid passive BCIs on a novel way to employ various neurophysiological features simultaneously. (shrink)

Many artists and music labels rely on partnerships with brands to pay for the production costs of their music videos. In exchange, the brands are featured in those videos. To enhance the transparency of these embedded forms of advertising, sponsorship disclosures are required. However, it remains unknown what the content of these disclosures in music videos should be to enhance sponsor transparency for adolescents. We examined how disclosure type affected adolescents’ conceptual and attitudinal persuasion knowledge. In addition, effects on responses (...) toward the brand, music video, and artist were examined. An experiment showed that none of the tested disclosures enhanced adolescents’ conceptual persuasion knowledge. However, disclosures explaining that the embedded brand helped pay for the production cost of the video led to lower attitudinal persuasion knowledge and, consequently, to more positive attitudes toward the brand, video, and artist, and to increased intentions to purchase the brand. (shrink)

In this paper, we propose an adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis and prediction through the study and analysis of sports videos. The features with more discriminative power are selected from the set of positive and negative templates using a feature selection mechanism, and a sparse discriminative model is constructed by combining a confidence value metric strategy. The sparse generative model is constructed by combining L1 regularization and subspace representation, which retains sufficient (...) representational power while dealing with outliers. To overcome the shortcomings of the traditional multiplicative fusion mechanism, this paper proposes an adaptive selection mechanism based on Euclidean distance, which aims to detect deteriorating models in time during the dynamic tracking process and adopt corresponding strategies to construct more reasonable likelihood functions. Based on the Bayesian citation framework, the adaptive selection mechanism is used to combine the sparse discriminative model and the sparse generative model. Also, different online updating strategies are adopted for the template set and Principal Component Analysis subspace to alleviate the drift problem while ensuring that the algorithm can adapt to the changes of target appearance in the dynamic tracking environment. Through quantitative and qualitative evaluation of the experimental results, it is verified that the algorithm proposed in this paper has stronger robustness compared with other classical algorithms. Our proposed visual object tracking algorithm not only outperforms existing visual object tracking algorithms in terms of accuracy, success rate, accuracy, and robustness but also achieve the performance required for real-time tracking in terms of execution speed on the central processing unit. This paper provides an in-depth analysis and discussion of the adaptive Gaussian incremental expectation stadium parameter estimation algorithm for sports video analysis. Using a variety of county-level algorithms for analysis and multiple solutions to improve the accuracy of the results, we obtain a more efficient and accurate algorithm. (shrink)

People are adept at perceiving interactions from movements of simple shapes, but the underlying mechanism remains unknown. Previous studies have often used object movements defined by experimenters. The present study used aerial videos recorded by drones in a real-life environment to generate decontextualized motion stimuli. Motion trajectories of displayed elements were the only visual input. We measured human judgments of interactiveness between two moving elements and the dynamic change in such judgments over time. A hierarchical model was developed to account (...) for human performance in this task. The model represents interactivity using latent variables and learns the distribution of critical movement features that signal potential interactivity. The model provides a good fit to human judgments and can also be generalized to the original Heider–Simmel animations. The model can also synthesize decontextualized animations with a controlled degree of interactiveness, providing a viable tool for studying animacy and social perception. (shrink)

Current methods of chaos-based action recognition in videos are limited to the artificial feature causing the low recognition accuracy. In this paper, we improve ChaosNet to the deep neural network and apply it to action recognition. First, we extend ChaosNet to deep ChaosNet for extracting action features. Then, we send the features to the low-level LSTM encoder and high-level LSTM encoder for obtaining low-level coding output and high-level coding results, respectively. The agent is a behavior recognizer for producing (...) recognition results. The manager is a hidden layer, responsible for giving behavioral segmentation targets at the high level. Our experiments are executed on two standard action datasets: UCF101 and HMDB51. The experimental results show that the proposed algorithm outperforms the state of the art. (shrink)

Traditional mental health services are often not enough to meet the needs of people at risk for suicide, especially in populations where help-seeking is stigmatized. Stack Up, a non-profit veteran organization whose goal is to use video games to bring veterans together, recognized a need in its gaming-focused online community and created the Overwatch Program. This suicide prevention and crisis intervention program is delivered entirely through the Internet by trained community members through Discord text and voice chat. By combining (...) aspects of virtual gaming communities, veteran mental health, and community-based peer support, this program provides an innovative format for implementing crisis intervention and mental health support programs. We describe here the context and features of the program, an ongoing evaluation project, and lessons learned. (shrink)

A full-color reference-and-DVD package covers shooting and editing a successful multimedia project With the introduction of dSLRs with high definition video functionality, a new world of multimedia capture has been opened to digital photographers. This book shows you how to embrace the exciting new option of photo fusion, by incorporating digital video content with your photography. The author duo guides you through creating seamless multimedia presentations that maximize both still-frame and video photography functions on your dSLR. From (...) the setting up and shooting, to downloading, editing and presenting a multimedia project, this book clearly explains how to move beyond stills into the exciting world of multimedia creation. Encourages you to embrace the exciting possibilities of photo fusion in the field of wedding photography Explains how to incorporate digital video content with photography Walks you through all of the necessary steps for shooting and editing a memorable multimedia creation Details every aspect involved in setting up, shooting, downloading, editing, and presenting a multimedia project Features more than 200 color images and an indispensible DVD of inspiring examples Packed with more than 200 stunning images and featuring a 45-minute DVD, Photo Fusion presents you with inspiration and instruction so you can create your own multimedia projects. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. (shrink)

In this paper, we analyze and calculate the crowd density in a tourist area utilizing video surveillance dynamic information analysis and divide the crowd counting and density estimation task into three stages. In this paper, novel scale perception module and inverse scale perception module are designed to further facilitate the mining of multiscale information by the counting model; the main function of the third stage is to generate the population distribution density map, which mainly consists of three columns of (...) void convolution with different void rates and generates the final population distribution density map using the feature maps of different branch regressions. Also, the algorithm uses jump connections between the top convolution and the bottom void convolution layers to reduce the risk of network gradient disappearance and gradient explosion and optimizes the network parameters using an intermediate supervision strategy. The hierarchical density estimator uses a hierarchical strategy to mine semantic features and multiscale information in a coarse-to-fine manner, and this is used to solve the problem of scale variation and perspective distortion. Also, considering that the background noise affects the quality of the generated density map, the soft attention mechanism is integrated into the model to stretch the distance between the foreground and background to further improve the quality of the density map. Also, inspired by multitask learning, this paper embeds an auxiliary count classifier in the count model to perform the count classification auxiliary task and to increase the model’s ability to express semantic information. Numerous experimental results demonstrate the effectiveness and feasibility of the proposed algorithm in solving the problems of scale variation and perspective distortion. (shrink)

A major challenge for semantic video segmentation is how to exploit the spatiotemporal information and produce consistent results for a video sequence. Many previous works utilize the precomputed optical flow to warp the feature maps across adjacent frames. However, the imprecise optical flow and the warping operation without any learnable parameters may not achieve accurate feature warping and only bring a slight improvement. In this paper, we propose a novel framework named Dynamic Warping Network to adaptively warp the (...) interframe features for improving the accuracy of warping-based models. Firstly, we design a flow refinement module to optimize the precomputed optical flow. Then, we propose a flow-guided convolution to achieve the adaptive feature warping based on the refined optical flow. Furthermore, we introduce the temporal consistency loss including the feature consistency loss and prediction consistency loss to explicitly supervise the warped features instead of simple feature propagation and fusion, which guarantees the temporal consistency of video segmentation. Note that our DWNet adopts extra constraints to improve the temporal consistency in the training phase, while no additional calculation and postprocessing are required during inference. Extensive experiments show that our DWNet can achieve consistent improvement over various strong baselines and achieves state-of-the-art accuracy on the Cityscapes and CamVid benchmark datasets. (shrink)

We analyze and study the tracking of nonrigid complex targets of sports video based on mean shift fusion color histogram algorithm. A simple and controllable 3D template generation method based on monocular video sequences is constructed, which is used as a preprocessing stage of dynamic target 3D reconstruction algorithm to achieve the construction of templates for a variety of complex objects, such as human faces and human hands, broadening the use of the reconstruction method. This stage requires (...) class='Hi'>video sequences of rigid moving target objects or sets of target images taken from different angles as input. First, the standard rigid body method of Visuals is used to obtain the external camera parameters of the sequence frames as well as the sparse feature point reconstruction data, and the algorithm has high accuracy and robustness. Then, a dense depth map is computed for each input image frame by the Multi-View Stereo algorithm. The depth reconstruction with a too high resolution not only increases the processing time significantly but also generates more noise, so the resolution of the depth map is controlled by parameters. The multiple hypothesis target tracking algorithms are used to track multiple targets, while the chunking feature is used to solve the problem of mutual occlusion and adhesion between targets. After finishing the matching, the target and background models are updated online separately to ensure the validity of the target and background models. Our results of nonrigid complex target tracking by mean shift fusion color histogram algorithm for sports video improve the accuracy by about 8% compared to other studies. The proposed tracking method based on the mean shift algorithm and color histogram algorithm can not only estimate the position of the target effectively but also depict the shape of the target well, which solves the problem that the nonrigid targets in sports video have complicated shapes and are not easy to track. An example is given to demonstrate the effectiveness and adaptiveness of the applied method. (shrink)

With the rapid development of the Internet and smart phone technology, a large number of short videos are shared through social platforms. Therefore, video content analysis is a very important and popular work in machine learning and artificial intelligence currently. However, it is very difficult to analyze all aspects of video content originally produced by large-scale users. How to screen out bad and illegal content from short videos published by a large number of users, select high-quality videos to (...) share with other users, and improve the quality of video on the distribution platform of the entire user is a top priority. Based on this background, this paper focuses on optimizing video auditing to provide basic features for algorithm judgment, supporting original content and increasing the distribution of new content, and strengthening manual intervention combining algorithm recommendation with manual recommendation. Four major aspects of the artificial training algorithm model discuss the optimization effect of artificial intelligence on the algorithm in order to provide some guidance for the sustainable and healthy development of mobile short video. (shrink)

When a word is used metaphorically (for example “walrus” in the sentence “The president is a walrus”), some features of that word's meaning (“very fat,” “slow-moving”) are carried across to the metaphoric interpretation while other features (“has large tusks,” “lives near the north pole”) are not. What happens to these features that relate only to the literal meaning during processing of novel metaphors? In four experiments, the present study examined the role of the feature of physical containment (...) during processing of verbs of physical containment. That feature is used metaphorically to signify difficulty, such as “fenced in” in the sentence “the journalist's opinion was fenced in after the change in regime.” Results of a lexical decision task showed that video clips displaying a ball being trapped by a box facilitated comprehension of verbs of physical containment when the words were presented in isolation. However, when the verbs were embedded in sentences that rendered their interpretation metaphorical in a novel way, no such facilitation was found, as evidenced by two eye-tracking reading studies. We interpret this as suggesting that features that are critical for understanding the encoded meaning of verbs but are not part of the novel metaphoric interpretation are ignored during the construction of metaphorical meaning. Results and limitations of the paradigm are discussed in relation to previous findings in the literature both on metaphor comprehension and on the interaction between language comprehension and the visual world. (shrink)

The target and background will change continuously in the long-term tracking process, which brings great challenges to the accurate prediction of targets. The correlation filter algorithm based on manual features is difficult to meet the actual needs due to its limited feature representation ability. Thus, to improve the tracking performance and robustness, an improved hierarchical convolutional features model is proposed into a correlation filter framework for visual object tracking. First, the objective function is designed by lasso regression modeling, (...) and a sparse, time-series low-rank filter is learned to increase the interpretability of the model. Second, the features of the last layer and the second pool layer of the convolutional neural network are extracted to realize the target position prediction from coarse to fine. In addition, using the filters learned from the first frame and the current frame to calculate the response maps, respectively, the target position is obtained by finding the maximum response value in the response map. The filter model is updated only when these two maximum responses meet the threshold condition. The proposed tracker is evaluated by simulation analysis on TC-128/OTB2015 benchmarks including more than 100 video sequences. Extensive experiments demonstrate that the proposed tracker achieves competitive performance against state-of-the-art trackers. The distance precision rate and overlap success rate of the proposed algorithm on OTB2015 are 0.829 and 0.695, respectively. The proposed algorithm effectively solves the long-term object tracking problem in complex scenes. (shrink)

Over the past years, Massive Open Online Courses have emerged as new competitive advantages in the digital economy of higher education globally. Accordingly, an increasing number of individuals are attracted to these new learning environments for developing their knowledge and skills in a variety of subject areas. Despite these developments, research on linguistic features of MOOCs lectures as the main mediums for delivering the course contents remained limited. To address this gap, the present study analyzed a corpus of MOOCs (...) lectures with around 4.45 million words to determine the size of vocabulary knowledge needed for 95 and 98% coverages. The findings revealed that sufficient coverage of the course contents requires knowledge of the 5,000 most frequent words in English. Nonetheless, achieving adequate coverage level requires a much larger vocabulary size of around 9,000 most frequent words in English. The study also found that widely used word lists for general and academic vocabulary fail to support MOOCs learners with sufficient vocabulary knowledge for adequate lexical coverage. Based on these findings, the study draws a number of implications for preparing non-native English speakers to use MOOCs effectively and setting research-informed vocabulary learning goals in instructional programs and materials. (shrink)

This article explores the relationship between political freedom and collaboration in the work of human rights organizations. I focus here on the ethical and political implications involved in the production of evidence once the documenting tool, the camera, is in the hands of an engaged civilian rather than a bystander, such as a photojournalist. By examining cases in the Occupied Palestinian Territories where the Palestinians are the photographers of human rights violations, I outline the relations and tensions between emancipatory acts (...) and collaboration via visual information production. Human rights organizations laud new technology and celebrate the participation of those afflicted by such violations in knowledge production as a form of empowerment, and those afflicted may experience the visual practice as a mode of self-representation. But inevitably such a practice is based on collaborative action. In the Israeli/Palestinian conflict case study below, such collaboration has negative effects, which impinge upon the emancipatory features of this mode of documenting. (shrink)

Learning a deep structure representation for complex information networks is a vital research area, and assessing the quality of stereoscopic images or videos is challenging due to complex 3D quality factors. In this paper, we explore how to extract effective features to enhance the prediction accuracy of perceptual quality assessment. Inspired by the structure representation of the human visual system and the machine learning technique, we propose a no-reference quality assessment scheme for stereoscopic images. More specifically, the statistical (...) class='Hi'>features of the gradient magnitude and Laplacian of Gaussian responses are extracted to form binocular quality-predictive features. After feature extraction, these features of distorted stereoscopic image and its human perceptual score are used to construct a statistical regression model with the machine learning technique. Experimental results on the benchmark databases show that the proposed model generates image quality prediction well correlated with the human visual perception and delivers highly competitive performance with the typical and representative methods. The proposed scheme can be further applied to the real-world applications on video broadcasting and 3D multimedia industry. (shrink)

In theatre rehearsals, actors can occasionally be seen getting stuck in the play text, which is called blanking. To overcome such textual difficulties and continue with the given text, a prompter can verbalize the line in question, thus contributing to an actor’s word search by prompting. The paper focuses on interactional practices by which prompters and actors interactionally resolve blanking situations. This study’s data comprises a case collection of 67 prompting situations, which are taken from a 200-h video corpus (...) of a rehearsal process at a professional theatre. These cases demonstrate how theatre professionals organize prompting situations and how they negotiate/sanction prompting actions such as when there was no blanking but a dramatic pause or when the dramatic performance is interrupted due to a missing prompt. In addition to the audiovisual recordings, eye tracking data of the person prompting is also used to describe the coordination of the visual resources in the context of multimodal interaction analysis. The analysis suggests that prompting and blanking persons interactively resolve blankings with the help of verbal and visual markers. (shrink)

This article continues the author's research devoted to the study of the problem of choreographic interpretations of literary works, in particular, John Neumeier's ballet "Anna Karenina". In this work, the identification of expressive staging means and choreographic elements used by Neumeier in the production of duets by Anna Karenina and Alexei Vronsky is carried out in order to determine the place of these choreographic fragments in the performance, as well as their significance for the author's interpretation of the images of (...) the main characters of the novel by Leo Tolstoy. In the course of the research, the author applied comparative-historical, ideological-artistic and analytical methods, as well as the method of included observation. In the course of the source analysis, video materials from the archives of the Hamburg Ballettzentrum and the Moscow Bolshoi Theater were used, as well as lectures conducted by Neumeier before the Moscow premiere of Anna Karenina. A detailed analysis of the dance score of three duets by Anna and Vronsky revealed traditional and innovative author's solutions related to the new research results. So, Neumeier uses such staging means as the compilation of Tchaikovsky and Schnittke's music; the inclusion of symbolic images in the choreographic canvas; the appearance of other characters; the use of stage lighting to accentuate the transition from reality to the sphere of the subconscious; active choreographic development based on a technically saturated duet dance, replete with high supports in the neoclassical style, as well as acrobatic elements; semantic use of plastic quotations. It can be concluded that in order to develop the images and relationships of Anna Karenina and Alexey Vronsky, the choreographer chooses a duet as the dominant musical and choreographic form. Moreover, in his version of Anna Karenina, Neumeier makes three duets of the main characters a key component of the performance and the author's interpretation of the images of the main characters. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:ENVIRONMENT, SPACE, PLACE / VOLUME 13 / ISSUE 2 / 2021 142 Mathewson, Tom Mels, Theano S. Terkenli, Tim Waterman, Claudio Minca, MichaelJones,KennethR.Olwig,“TheMeaningsofLandscape:EssaysonPlace,Space, Environment and Justice,” The AAG Review of Books 7, no. 4 (2019): 291–­304. 11. Linde Egberts, Review of The Meanings of Landscape: Essays on Place, Space, Environment and Justice by Kenneth R. Olwig. Tijdschrift voor economische en sociale geografie 111, no. 2 (2020): 199–­200. The Sprawl: (...) Reconsidering the Weird American Suburbs BY JASON DIAMOND Minneapolis: Coffee House Press, 2020 REVIEWED BY JULIE WILHELM JasonDiamond’sTheSprawl:ReconsideringtheWeirdAmericanSuburbs provides an often fascinating and meandering trip through American suburbs of the past and present. Diamond, who lives in Brooklyn but grew up in the suburbs of Florida and Illinois, explores the suburbs through both his own experiences and the experiences of the creative and everyday individuals he profiles. “The Sprawl,” a title drawn from the speculative fiction writer William Gibson, names for Diamond the worst of the suburbs, the thoughtless piling on of chain stores and houses without attention to design or community. The subtitle calls up the best of the suburbs, which is in some ways connected to the sprawl: the creativity and weirdness that crops up without design or in refusal of the rigid designs of suburban communities. In studying the dynamic of creative expression and suburban living, Diamond provides a cultural tour of visual art, literature, music, movies, and other creative artifacts of or about the suburbs. Throughout the genres he explores, Diamond focuses on what he calls “the undercurrent of strangeness” (xvii), the creativity, passion, and possibilities that have come out of places that seem inhospitable to them. Chapters are thoroughly researched and topics are exhaustively covered: most readers will complete the book with at least a short list of music, literature, and other art to track down based on Diamond’s sometimes encyclopedic coverage. The genre of The Sprawl is uniquely hybrid. Diamond blends his- Book Reviews 143 tories of various suburbs, descriptions of art, anecdotes of his explorations of particular suburbs, and memories of his own suburban childhood to explore each chapter topic. As historian/cultural enthusiast /tour guide/friend, Diamond is warm and personable, sharing his own painful experiences as a child moving from house to house in the suburbs and ultimately leaving them for the city. Diamond focuses chapters on themes such as exclusionary practices of the suburbs, suburban “garage rock,” and the “ruin porn” of faded malls, each adding a dimension to readers’ understanding of American suburbia. A striking quality of The Sprawl is Diamond’s attention to the feelings of the suburbs and evocation of those feelings in descriptions of his own and others’ experiences. Several chapters touch on teenage anxiety, boredom, and alienation, often through the perspectives of fictional characters and artists. Chapter seven: “Mousepacks,” for instance,onculturalportrayalsandexperiencesofsuburbanteens,traces the relationship between teenage alienation and boredom, and spatial and design attributes: the inability of teenagers to get places in many suburbs since they cannot drive, the absence of cultural spaces that bring people together, the homogeny for which the suburbs are infamous, and racism evoked in texts such as Get Out. Nostalgia also pervades the book and the experiences of the author and others relating to the suburbs: the sense that, though there is nothing place-­ specific about a breakfast from IHOP or the cologne-­ scented mall of one’s childhood, it is a place-­ less experience one still longs for. Particularly poignant, chapter nine, titled “Mondo-­ Condo-­ Shopping-­ Mall-­ Hell,” opens with a description of Cecil Robert’s YouTube video “Toto-­Africa (playing in an empty shopping centre).” The video features the glossy tiled floor, lighting, and decorative plants of an empty shopping mall as Toto’s “Africa” plays from a distant mall speaker. Intrigued by Diamond’s description, I watched the video myself, which is mesmerizing in its uneventfulness, and saw that it has over three million views on YouTube. Why is this exploration of suburban banality so moving to so many? What drove Robert, who was a teenager after the heyday of the mall, nostalgic for this “placeless place”? These are some of the most compelling questions that Diamond explores. Chapter three... (shrink)

This article introduces an interpretative approach to the analysis of situations in computational settings called situational analytics. I outline the theoretical and methodological underpinnings of this approach, which is still under development, and show how it can be used to surface situations from large data sets derived from online platforms such as YouTube. Situational analytics extends to computationally-mediated settings a qualitative methodology developed by Adele Clarke, Situational Analysis, which uses data mapping to detect heterogeneous entities in fieldwork data to determine (...) ‘what makes a difference’ in a situation. Situational analytics scales up this methodology to analyse situations latent in computational data sets with semi-automated methods of textual and visual analysis. I discuss how this approach deviates from recent analyses of situations in computational social science, and argue that Clarke’s framework renders tractable a fundamental methodological problem that arises in this area of research: while social researchers turn to computational settings in order to analyse social life, the social processes unfolding in these envirnoments are fundamentally affected by the computational architectures in which they occur. Situational analytics offers a way to address this problematic by making a heterogeneously composed situation – involving social, technical and media elements – the unit of computational analysis. To conclude, I show how situational analytics can be applied in a case study of YouTube videos featuring intelligent vehicles and discuss how situational analysis itself needs to be elaborated if we are to come to terms with computational transformations of the situational fabric of social life. (shrink)

In its original form, Nozick’s experience machine serves as a potent counterexample to a simplistic form of hedonism. The pleasurable life offered by the experience machine, its seems safe to say, lacks the requisite depth that many of us find necessary to lead a genuinely worthwhile life. Among other things, the experience machine offers no opportunities to establish meaningful relationships, or to engage in long-term artistic, intellectual, or political projects that survive one’s death. This intuitive objection finds some support in (...) recent research regarding the psychological effects of phenomena such as video games or social media use. After a brief discussion of these problems, I will consider a variation of the experience machine in which many of these deficits are remedied. In particular, I’ll explore the consequences of a creating a virtual world populated with strongly intelligent AIs with whom users could interact, and that could be engineered to survive the user’s death. The presence of these agents would allow for the cultivation of morally significant relationships, and the world’s long-term persistence would help ground possibilities for a meaningful, purposeful life in a way that Nozick’s original experience machine could not. While the creation of such a world is obviously beyond the scope of current technology, it represents a natural extension of the existing virtual worlds provided by current video games, and it provides a plausible “ideal case” toward which future virtual worlds will move. While this improved experience machine would seem to represent progress over Nozick’s original, I will argue that it raises a number of new problems stemming from the fact that that the world was created to provide a maximally satisfying and meaningful life for the intended user. This, in turn, raises problems analogous in some ways to the problem(s) of evil faced by theists. In particular, I will suggest that it is precisely those features that would make a world most attractive to potential users—the fact that the AIs are genuinely moral agents whose well-being the user can significantly impact—that render its creation morally problematic, since they require that the AIs inhabiting the world be subject to unnecessary suffering. I will survey the main lines of response to the traditional problem of evil, and will argue that they are irrelevant to this modified case. I will close by considering by consider what constraints on the future creation of virtual worlds, if any, might serve to allay the concerns identified in the previous discussion. I will argue that, insofar as the creation of such worlds would allow us to meet morally valuable purposes that could not be easily met otherwise, we would be unwise to prohibit it altogether. However, if our processes of creation are to be justified, they must take account of the interests of the moral agents that would come to exist as the result of our world creation. (shrink)

The most surprising conclusion of our analysis is that videogames can be most effective in generating suspense not by highlighting their unique ability to be interactive, but, to the contrary, limiting interactivity at key points, thereby turning players into helpless spectators like those that watch films. Discovering this technique in video games allows us to turn our attention back to film, where we are able to highlight a previously ignored feature of viewer film interaction, namely, helplessness.

Despite the fact that human daily emotions are co-occurring by nature, most neuroscience studies have primarily adopted a univariate approach to identify the neural representation of emotion (emotion experience within a single emotion category) without adequate consideration of the co-occurrence of different emotions (emotion experience across different emotion categories simultaneously). To investigate the neural representations of multivariate emotion experience, this study employed the inter-situation representational similarity analysis (RSA) method. Researchers used an EEG dataset of 78 participants who watched 28 (...) class='Hi'>video clips and rated their experience on eight emotion categories. The EEG-based electrophysiological representation was extracted as the power spectral density (PSD) feature per channel in the five frequency bands. The inter-situation RSA method revealed significant correlations between the multivariate emotion experience ratings and PSD features in the Alpha and Beta bands, primarily over the frontal and parietal-occipital brain regions. The study found the identified EEG representations to be reliable with sufficient situations and participants. Moreover, through a series of ablation analyses, the inter-situation RSA further demonstrated the stability and specificity of the EEG representations for multivariate emotion experience. These findings highlight the importance of adopting a multivariate perspective for a comprehensive understanding of the neural representation of human emotion experience. (shrink)

Featuring an 18.0 megapixel CMOS sensor and DIGIC 4 image processor for high image quality and speed, ISO 100-6400 for shooting from bright to dim light, and many more great features, the Canon EOS Rebel T2i brings professional features into an entry-level digital SLR. The Canon EOS Rebel T2i/550D Digital Field Guide will teach you how to get the most out of these impressive features so you can improve your photography skills. CHAPTER 1: Setting Up the EOS (...) Rebel T2i/550D. – This chapter will help you set up your T2i so you can get the best image quality from your Canon T2i. It will also cover different ways to review your images and protect them from accidental deletion. CHAPTER 2: Controlling Exposure and Focus. – Learn about the different types of shooting modes on your T2i, as well as image exposure and how to modify it for individual shooting scenarios. CHAPTER 3: Getting Great Color. – This chapter explores the concepts of light and color, and teaches you how to select a white balance and picture style on your T2i for maximum color rendering. CHAPTER 4: Customizing the EOS Rebel T2i/550D. – Learn how to set up your T2i for common and uncommon shooting situations. CHAPTER 5: Shooting in Live View and Tethered. – This chapter explains the T2i’s Live View feature and how to shoot tethered to a computer. CHAPTER 6: Using Movie Mode. – A great starting point for any photographer to explore the world of digital video with the T2i, this chapter will teach you how to shoot and playback video on the T2i. CHAPTER 7: Using Flash. – This chapter explores flash technology, and how to use the T2i’s on board flash and menu options for the built-in flash and for EX-Series Speedlites. CHAPTER 8: Exploring Canon Lenses and Accessories. This chapter covers popular T2i lenses and how they impact the images you capture with your T2i. CHAPTER 9: The Elements of Exposure and Composition. – Learn how aperture, shutter speed, and ISO affect your images, and how they work together to determine exposure. This chapter also covers the basics of composing images with your T2i. CHAPTER 10: Event and Action Photography. – Learn how to capture action in your images, plus some tips and tricks for general event photography, including how to capture great photos in low lighting. CHAPTER 11: Nature and Landscape Photography. – This chapter explores how to approach shooting nature and landscape images with your T2i. CHAPTER 12: Portrait Photography. – Learn how to set up the T2i for portrait shooting, plus information on choosing backgrounds, lighting, and other tips and tricks for taking great portraits. APPENDIX A: Exploring RAW Capture. – This chapter contains an overview of RAW capture as well as a brief walk-through on converting RAW images into a final image. APPENDIX B: How to Use the Gray and Color Checker cards. – Learn how to produce photos with accurate color and exposure with these free-inside-the-book tools. A full-color, portable-trim book with beautiful photography for photographers on the go, the Canon EOS Rebel T2i/550D Digital Field Guide includes a free Grey/Color checker card to help you achieve accurate white balance and color. With the Canon EOS Rebel T2i/550D Digital Field Guide, you will gain a thorough understanding of the T2i dSLR, as well as the basic fundamentals of capturing the best possible photos. (shrink)

This chapter contains sections titled: The 1970s: Adult Film Theatres The 1980s: Home Video/VHS The 1990s: DVD The Oh‐Oh Age of the Internet Notes.