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Semantic Video Object Segmentation for ContentBased Multimedia Applications (The Springer International Series in Engineering a,Used
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Semantic Video Object Segmentation for ContentBased Multimedia Applications provides a thorough review of stateoftheart techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in contentbased multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with lowlevel video processing. Thus, highlevel semantic information and lowlevel video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly realtime video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously.Semantic Video Object Segmentation for ContentBased Multimedia Applications will be of great interest to research scientists and graduatelevel students working in the area of contentbased multimedia representation and applications and its related fields.
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