基于宏块重要性测度的重同步方法

Macroblock Importance Estimation Based Resynchronization Approach

重同步是视频传输中一种重要的错误恢复方法。对视频传输过程中的失真进行分析后,提出了基于宏块重要性测度的重同步新方法。通过定义宏块重要性测度,充分利用视频信息的重要性结合码流长度,对压缩视频流进行打包,使得视频包的重要性保持一致。分别采用基于宏块个数、基于码流长度和本方法对不同类型的测试序列进行了视频包丢失实验。结果表明,本文方法平均失真的波动最小,因此在传输过程中,无论哪一个视频包发生丢失,都不会对视频质量带来剧烈的波动,提高了主观视觉效果。

Resynchronization is an important error resilient approach for video transmission. The video transmission distortion was analyzed and a new macroblock importance estimation based resynchronization approach was proposed.Through the definition of macroblock importance estimation, the approach utilized the macroblock importance combining with the bit stream length to packet compressed video with the same importance.The proposed approach is compared with number of macroblock based method and bit stream length based method by different test sequences for the same video packet loss pattern. The experimental results show that the new approach can decrease video duality fluctuation in error prone channel and increase su均ective quality greatly.