Low Complezity Mode Decision for H.264 Based on Macroblock Motion Classification

摘要：

The H.264/AVC achieves higher compression efficiency than previous video coding standards. However, the full RD cost calculations for all intra-prediction modes and exhaustive searches for optimal motion vectors for variable block sizes result in extremely high computation complexity, which obstruct it from practical use. In this paper, an efficient algorithM is proposed to reduce the complexity of macroblock mode decision. Firstly, the proposed algorithm is to identify the boundary region and the interior region of the motion object by using the motion vectors information. Secondly, the boundary region was classified into two types of regions by the coded modes information. After that we process the different region distinctly. Experimental results show that the algorithm can save the encoding time up to 68% on average compared to the conventional method in the JVT JM8.6 reference encoder at the cost of negligible performance degradation.

关键词： mode decision low complezity macroblock motion classification H.264 video coding

作者: Wei Geng Wu Lenan

作者单位: School of Information Science & Engineering,Southeast University,Nanjing, China School of Information Science & Engineering,Southeast University, Nanjing, China

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 227-230

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）