Error Detection For H.264/AVC Coded Video Based On Artifact Characteristics

摘要：

This paper proposed a novel error detection algorithm of the H.264/AVC coded video stream based on the analysis of artifact characteristics. Firstly, the visual distortions caused by transmission are classified and construed. Then, two methods are implemented according to different kinds of visual artifact. Comparing with conventional ways, proposed algorithm not only considers the error happening on the boundary of the macroblocks(MBs), but also considers the error appears inside the MBs. Simulation results demonstrate that our algorithm shows a good performance for helping concealing the erroneous MBs to gain a high video quality.

关键词： error detection error concealment H.264/AVC structural similarity

作者: Ying Liu Yang-ke Liu Shu-juan Qiao Pan Wei

作者单位: Beijing Key Laboratory of Digital Media School of Computer Science and Engineering, Beihang University Beijing 100191, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 293-298

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）