Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis
Learning similarity and distance measures has become increasingly important for the analysis, matching, retrieval, recognition, and categorization of video and multimedia data. With the ubiquitous use of digital imaging devices, mobile terminals and social networks, there are massive volumes of heterogeneous and homogeneous video and multimedia data from multiple sources, views, and domains, e.g., news media websites, microblog, mobile phone, social networking, etc. Similarity and...[Show more]
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|Source:||IEEE Transactions on Circuits and Systems for Video Technology|
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