Fast motion estimation algorithm based on edge block detection and motion vector information

Qin Liu, Zhenxing Chen, S. Goto, T. Ikenaga
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引用次数: 8

Abstract

Compared with previous standards, H.264/AVC adopts variable block size motion estimation (VBSME) and multiple reference frames (MRF) to improve the video quality. So full search motion estimation algorithm (FS) has to consume massive computation, to calculate every search point in the search window for every block type with multiple reference frame. Some mathematical analyses on edge block are presented in this paper. Moreover in most cases, search range for FS is fixed and large, which is not necessary for most cases. An adaptive search range scheme is provided in this paper. In summary, two fast VBSME algorithms are proposed in this paper: 1) subsampling method based on the block edge information is applied 2) adaptive search range based on motion vector information is utilized. Experiments demonstrate that combing our proposed algorithms with UMHS almost saves 92%- 98% integer motion estimation (IME) time compared with exhaustive search with only less than 0.5% bitrate increase or 0.04 db PSNR decline.
基于边缘块检测和运动矢量信息的快速运动估计算法
与以前的标准相比,H.264/AVC采用可变块大小运动估计(VBSME)和多参考帧(MRF)来提高视频质量。因此,全搜索运动估计算法(FS)需要对具有多个参考帧的每种块类型的搜索窗口中的每个搜索点进行计算,从而消耗大量的计算量。本文对边缘块进行了一些数学分析。而且在大多数情况下,FS的搜索范围是固定的,而且很大,这在大多数情况下是不必要的。提出了一种自适应搜索范围方案。综上所述,本文提出了两种快速的VBSME算法:1)基于块边缘信息的子采样方法;2)基于运动矢量信息的自适应搜索范围。实验表明,与穷举搜索相比,将我们提出的算法与UMHS相结合,可以节省92%- 98%的整数运动估计(IME)时间,比特率增加不到0.5%,PSNR下降不到0.04 db。
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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