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Motion re-estimation for H.264/AVC video downscaling transcoding using EPZS algorithm

机译:使用EPZS算法的H.264 / AVC视频降码转码的运动重新估计

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This paper proposes an efficient motion re-estimation using enhanced predictive zonal search (EPZS) algorithm for H.264/AVC video downscaling transcoding to reduce computation cost while maintaining high coding performance. Three prediction motion vectors (PMV) using AAW, ABW and AWW approaches are defined based on CBP and MV information in original H.264/AVC coded videos. The proposed EPZS takes into account four MV predictors (including AAW, ABW and AWW predictors as well as median predictor defined in H.264/AVC). The experimental result reveals that the proposed EPZS algorithm achieves a significant reduction of 66% computation time while maintaining coding efficiency as good as fully decoding and re-encoding. The result also shows that the proposed algorithm outperforms the AWVM algorithm in all respects, including PSNR, bit-rate increment as well as computation saving.
机译:本文针对H.264 / AVC视频缩编转码,提出了使用增强的预测区域搜索(EPZS)算法进行有效的运动重估计,以降低计算成本,同时保持较高的编码性能。基于原始H.264 / AVC编码视频中的CBP和MV信息,定义了使用AAW,ABW和AWW方法的三个预测运动矢量(PMV)。提议的EPZS考虑了四个MV预测器(包括AAW,ABW和AWW预测器以及H.264 / AVC中定义的中值预测器)。实验结果表明,提出的EPZS算法在保持编码效率以及完全解码和重新编码的同时,显着减少了66%的计算时间。结果还表明,该算法在PSNR,比特率增量和节省计算方面在各个方面都优于AWVM算法。

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