Improving Side Information Quality Using Structure Similarity for WZVC

Fang Sheng, Bian Zihan, ZhangQing Chongqing, Jiang Donghuan
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Abstract

In traditional video coding standards, such as MPEG-x and H.26x, MSE (Mean-Square Error) is in general the standard search metric for motion estimation. Wyner-Ziv video coding is a new coding paradigm different from the traditional video coding standards by shifting from the encoder to the decoder the process of predicting the current frame based on motion estimation and motion compensation. However, in Wyner-Ziv video coding almost existing motion compensated temporal interpolation (MCTI) algorithms still use the MSE as the search metric. Does the MSE really fit for MCTI, which is carried out at the decoder of the Wyner-Ziv video coding? This paper tries to answer the question and a new search metric combining the structure similarity with MSE is proposed to improve MCTI performance.
利用结构相似度提高WZVC的边信息质量
在传统的视频编码标准中,如MPEG-x和H.26x, MSE(均方误差)通常是运动估计的标准搜索度量。Wyner-Ziv视频编码是一种不同于传统视频编码标准的新型编码范式,它将基于运动估计和运动补偿的当前帧预测过程从编码器转移到解码器。然而,在Wyner-Ziv视频编码中,几乎现有的运动补偿时间插值(MCTI)算法仍然使用MSE作为搜索度量。MSE真的适合MCTI吗? MCTI是在Wyner-Ziv视频编码的解码器上进行的。本文试图回答这个问题,并提出了一种结合结构相似度和最大方差的搜索度量来提高MCTI的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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