| 书目名称 | Semantic Video Object Segmentation for Content-Based Multimedia Applications |
| 编辑 | Ju Guo,C.-C. Jay Kuo |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | .Semantic Video Object Segmentation for Content-BasedMultimedia. .Applications. provides a thorough review ofstate-of-the-art techniques as well as describing several novel ideasand algorithms for semantic object extraction from image sequences.Semantic object extraction is an essential element in content-basedmultimedia services, such as the newly developed MPEG4 and MPEG7standards. An interactive system called SIVOG (Smart Interactive VideoObject Generation) is presented, which converts user‘s semantic inputinto a form that can be conveniently integrated with low-level videoprocessing. Thus, high-level semantic information and low-level videofeatures are integrated seamlessly into a smart segmentation system. Aregion and temporal adaptive algorithm was further proposed to improvethe efficiency of the SIVOG system so that it is feasible to achievenearly real-time video object segmentation with robust and accurateperformances. Also included is an examination of the shape codingproblem and the object segmentation problem simultaneously. ..Semantic Video Object Segmentation for Content-Based Multimedia..Applications. will be of great interest to research scientistsand graduate-level |
| 出版日期 | Book 2002 |
| 关键词 | Processing; Standards; algorithms; coding; image sequences; information; multimedia; performance; video |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-1503-6 |
| isbn_softcover | 978-1-4613-5586-1 |
| isbn_ebook | 978-1-4615-1503-6Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 2002 |
发表于 2025-3-21 19:53:04
