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並列摘要


In this paper, a computation allocation algorithm for multi-view video coding is proposed to aim at higher compression efficiency with considering computational resource availability. Based on analyzing results of inter- view motion vector correlation and rate distortion costs between views, the limited computation resources can be allocated efficiently according to the motion vector difference and rate distortion cost of the macroblock. In addition, in order to receive accurate global disparity vectors, a global disparity vector (GDV) normalization algorithm is also applied to smooth the global disparity vector for the purpose of shifting the information of the main view to the auxiliary view. Simulation results demonstrate that our proposed algorithm can maintain a quality performance and restrain the bit-rate increasing with low and limited computation resource support.

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