文章基本信息

标题：Semantic Web-based Video Streaming Application
其他标题：Semantic Web-based Video Streaming Application
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作者：Ashraf M. A. Ahmad ; Samir Abou El-Seoud
期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2008
卷号：3
期号：4
页码：4-9
语种：English
出版社：Kassel University Press
摘要：An efficient moving object extraction algorithm suitable for real-time content-based multimedia streaming systems is proposed in this paper. A Motion Vector (MV) based object extraction is used to dynamically detect the objects. To utilize the bandwidth efficiently, the important object can be real time detected, encoded, and transmitted with higher quality and higher frame rate than those of background. In order to meet the real-time requirement, no computationally intensive operation is included in this framework. Moreover, in order to guarantee the highest speed, all the implementation is operating on the compressed domain without need for decompression. Good extraction performance is demonstrated by the experiment results.
关键词：MPEG1/2; Object Detection; Video Streaming; ; Texture; Motion Vector; Web-based Education.