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)

At present, person reidentification based on attention mechanism has attracted many scholars’ interests. Although attention module can improve the representation ability and reidentification accuracy of Re-ID model to a certain extent, it depends on the coupling of attention module and original network. In this paper, a person reidentification model that combines multiple attentions and multiscale residuals is proposed. The model introduces combined attention fusion module and multiscale residual fusion module in the backbone network ResNet 50 to enhance the feature flow (...) between residual blocks and better fuse multiscale features. Furthermore, a global branch and a local branch are designed and applied to enhance the channel aggregation and position perception ability of the network by utilizing the dual ensemble attention module, as along as the fine-grained feature expression is obtained by using multiproportion block and reorganization. Thus, the global and local features are enhanced. The experimental results on Market-1501 dataset and DukeMTMC-reID dataset show that the indexes of the presented model, especially Rank-1 accuracy, reach 96.20% and 89.59%, respectively, which can be considered as a progress in Re-ID. (shrink)

This study explores the development of tourists’ confidence in Chinese culture through red tourism. Partial least squares structural equation modeling was adopted to analyze the survey data collected from red tourists in Wuxiang county, Changzhi, Shanxi province, China to examine the influence of a destination’s red cultural atmospherics on tourists’ confidence in Chinese culture. The results indicated that Wuxiang’s red cultural atmospherics composed of physical atmospherics, spiritual atmospherics and institutional atmospherics significantly influences tourists’ confidence in Chinese culture. Tourists’ perception (...) of red education and their red cultural identity mediate the impact of the destination’s red cultural atmospherics on tourists’ confidence in Chinese culture. These findings contribute to the red tourism literature by providing empirical support for building tourists’ confidence in Chinese culture through red tourism. The empirical results also offer managerial implications for red tourism destinations’ planning and management. (shrink)