优化了视频编码的图片结构选择

Vigneswaran Poobalasingam, E. Izquierdo, Saverio G. Blasi, M. Mrak
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引用次数: 1

摘要

基于高效视频编码(HEVC)标准的编码器将输入序列视为在图像结构(SOP)中分组的连续切片。编码时使用的SOP指定了许多参数,例如帧的编码顺序,或者在相互预测期间使用的参考帧。参考编码器通常使用给定大小的固定SOP结构,该结构在整个序列中周期性地重复。本文首先分析了非常规SOP结构的使用,表明大多数序列受益于使用较大的SOP,并且最优SOP的选择高度依赖于内容。为此,提出了一种基于对相邻帧进行低复杂度纹理分析的自动选择最优SOP大小的算法。该算法能够在编码过程中自适应地改变SOP的大小。广泛的评估表明,一致的比特率降低报告在相同的客观质量作为使用所提出的算法的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimised selection of structure of pictures for video coding
Encoders based on the High Efficiency Video Coding (HEVC) standard consider an input sequence as a succession of slices grouped in Structures of Pictures (SOP). The SOP used while encoding specifies many parameters, such as the coding order of frames, or the reference frames used during inter-prediction. Reference encoders typically make use of a fixed SOP structure of a given size, which is periodically repeated throughout the whole sequence. In this paper, the usage of unconventional SOP structures is first analysed, showing that most sequences benefit from usage of larger SOPs, and that the selection of the optimal SOP is highly content dependent. As a result, an algorithm is proposed to automatically select the optimal SOP size based on a low-complexity texture analysis of neighbouring frames. The algorithm is capable of adaptively changing SOP size during the encoding. Extensive evaluation shows that consistent bit-rate reductions are reported at the same objective quality as an effect of using the proposed algorithm.
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