计算机科学 ›› 2011, Vol. 38 ›› Issue (11): 275-277.

• 图形图像 • 上一篇    下一篇

分布式视频编码中的边信息改进算法

张晓星,刘冀伟,胡广大,崔朝辉   

  1. (北京科技大学信息工程学院 北京100083)
  • 出版日期:2018-12-01 发布日期:2018-12-01

Improved Side Information Generation Algorithm in Distributed Video Coding

  • Online:2018-12-01 Published:2018-12-01

摘要: 边信息是影响分布式视频编码系统率失真性能的关键因素之一。针对传统的运动补偿帧内插方案的固定宏块划分法忽略了视频序列中各区域运动强烈程度不均的特性,提出基于图像活跃度的灵活宏块划分算法。在前向运动估计之前,对相部关键帧的差值图像统计活跃度,根据各区域的运动强烈程度自适应地调整宏块大小。实验结果表明,对于不同运动特性的序列,本算法可以明显提升边信息帧的重建质量,使系统的率失真性能提高0.3~1.3dB有效提高了系统性能。

关键词: 分布式视频编码,图像活跃度,帧内插,边信息

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.

Key words: Distributed video coding, Image activity measure, Frame interpolation, Side information

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