As the bandwidth accessible to average users has increased, audio-visual material has become the fastest growing data type on the Internet. The impressive growth of the social Web, where users can exchange user-generated content, contributes to the overwhelming number of multimedia files available. Near-duplicates are based on the same original content but have been edited and postprocessed, resulting in different files. Another type of near duplicate includes footage of the same event or scene. Detecting near duplicates poses a challenge for multimedia content analysis, especially when speed, scale, and copied fragment length are pushed to operational levels. This special issue presents some of the most recent advances in the research on Web-scale near-duplicate search and explores the potential for bringing this research a substantial step further. It contains high-quality contributions addressing various aspects of the Web-scale near-duplicate search problem in a number of relevant domains. Read full article »
About IEEE MultiMedia
IEEE MultiMedia covers multiple media types, used harmoniously together in creating new experiences in areas such as image processing, video processing, audio analysis, text retrieval and understanding, data mining and analysis, and data fusion.