EFFICIENT OBJECT BASED STREAMING FRAMEWORK FOR WEB-BASED EDUCATION

An efficient moving object extraction algorithm sui table for real-time content-based multimedia streaming systems is proposed in this paper. A Mo tion 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 wit h 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 d omain without need for decompression. Good extraction performance is demonstrated by the experiment results .

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