Báo cáo hóa học: " Research Article Fast Macroblock Mode Selection Algorithm for Multiview Video Coding"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Fast Macroblock Mode Selection Algorithm for Multiview Video Coding | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2008 Article ID 393727 14 pages doi 2008 393727 Research Article Fast Macroblock Mode Selection Algorithm for Multiview Video Coding Zongju Peng 1 2 Gangyi Jiang 1 Mei Yu 1 and Qionghai Dai3 1 Faculty of Information Science and Engineering Ningbo University Ningbo 315211 China 2 Institute of Computing Technology Chinese Academy of Science Beijing 100080 China 3 Broadband Networks Digital Media Lab Tsinghua University Beijing 100084 China Correspondence should be addressed to Gangyi Jiang jianggangyi@ Received 1 March 2008 Revised 7 August 2008 Accepted 14 October 2008 Recommended by Stefano Tubaro Multiview video coding MVC plays an important role in three-dimensional video applications. Joint Video Team developed a joint multiview video model JMVM in which full-search algorithm is employed in macroblock mode selection to provide the best rate distortion performance for MVC. However it results in a considerable increase in encoding complexity. We propose a hybrid fast macroblock mode selection algorithm after analyzing the full-search algorithm of JMVM. For nonanchor frames of the base view the proposed algorithm halfway stops the macroblock mode search process by designing three dynamic thresholds. When nonanchor frames of the other views are being encoded the macroblock modes can be predicted from the frames of the neighboring views due to the strong correlations of the macroblock modes. Experimental results show that the proposed hybrid fast macroblock mode selection algorithm promotes the encoding speed by times without noticeable quality degradation compared with the JMVM. Copyright 2008 Zongju Peng et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION With the advancement in

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