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Error-Resilient Video Compression via forecast of error concealment modes based on multiple state streams and even-odd filed

机译:通过基于多个状态流和奇偶场的错误隐藏模式的预测,实现容错视频压缩

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This paper introduces the forecast of error concealment modes FOECM using in the error resilient coding scheme based on multiple state streams and even-odd field. The forecast of error concealment modes makes it extremely easy and flexible to obtain the best performance of error concealment at the decoder, which is obtained by the pre-evaluation of the error concealment modes at the encoder. Multiple states coding (MSC) based on even-odd filed presents error concealment modes of many dimensions, which provide improved error concealment and fast state recovery for the lost stream. In addition, we present three novelty algorithms: approximate parallel field projection (APFP) and rank edge line average (RELA) and bidirectional best neighborhood matching (BBNM). Simulations show that this approach has excellent performance. Moreover, the method proposed can be implemented in many source codes (e.g., H263, MPEG4, H264).
机译:本文介绍了在基于多状态流和奇数场的纠错编码方案中使用的错误隐藏模式FOECM的预测。错误隐藏模式的预测使在解码器上获得最佳错误隐藏性能极为容易和灵活,这是通过在编码器上对错误隐藏模式进行预评估而获得的。基于奇数场的多状态编码(MSC)提出了多种维度的错误隐藏模式,这些模式提供了改进的错误隐藏和丢失流的快速状态恢复。此外,我们提出了三种新颖的算法:近似平行场投影(APFP)和秩边缘线平均值(RELA)和双向最佳邻域匹配(BBNM)。仿真表明,该方法具有出色的性能。此外,所提出的方法可以在许多源代码(例如,H263,MPEG4,H264)中实现。

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