The springer international series in engineering and computer science - 9780792375135 - semantic video object segmentation for content-based multimedia applications (the springer international series in engineering and computer science, 639, band 639) von ju guo; kuo, c.-c. jay (3 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2001
Serie: Buch 248 von 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 2001
Serie: Buch 248 von 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Zustand: New. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. This title provides a review of techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Series: The Springe…r International Series in Engineering and Computer Science. Num Pages: 109 pages, biography. BIC Classification: UG; UYT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 9. Weight in Grams: 371. . 2001. Hardback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Springer US, 2001
Serie: Buch 248 von 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. Seman…tic 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. 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.
