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Improved Side Information Generation Algorithm in Distributed Video Coding
分布式视频编码中的边信息改进算法

Keywords: Distributed video coding,Image activity measure,Frame interpolation,Side information
分布式视频编码,图像活跃度,帧内插,边信息

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Abstract:

Side information generation is the most critical factor leading to the performance of the distributed video coding(DVC) scheme. An improved macroblock partition technique according to image activity measure(IAM) was proposed for the motion compensation frame interpolation process with respect to its neglect of the motion intensity inequality at different regions. Before the forward motion estimation, IAM of the residual image between adjacent key frames was calculated to estimate motion activity, by which various macroblock sizes are judged for various regions. Experimental result shows that for different video sequences, 0. 3~1. 3dB gain in the ratcdistortion performance is achieved by applying the proposed algorithm in the DVC system, thus it effectively improves the system performance.

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