Semantic Video Object Segmentation for Content-Based Multimedia Applications (The Springer International Series in Engineering and Computer Science)

<p>Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art 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 content-based 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 low-level video processing. Thus, high-level semantic information and low-level 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 real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. <br> Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields.</p>

Semantic Video Object Segmentation for Content-Based Multimedia Applications (The Springer International Series in Engineering and Computer Science, 639)

Computers & Technology

Ju Guo

Kuo, C.C. Jay

Computer Science

Springer

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Books by Ju Guo

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Semantic Video Object Segmentation for Content-Based Multimedia Applications (The Springer International Series in Engineering and Computer Science, 639)