A Review of Motion Estimation Algorithms for Video Compression
The key to high performance of video compression lies in an efficient reduction of the temporal redundancy. For this purpose, the block-based motion estimation (BBME) technique has been successfully applied in the video compression standards from H.261 to H.264. The most straightforward BBME method must be full search algorithm (FSA) that searches every candidate position within the search range. Since FS consumes extremely high computational cost, development and refinement on ME algorithms have been fueled to archive better tradeoff between the computational cost and the ME speed. In this paper, we study the low complexity ME algorithms and classify them into three categories, namely modeling the matching error surface, fast full search and reduction of searching candidate points. In the following sections, we will have a brief review across all these categories. The aim of this review is to provide the succeeding researchers with some constructive information in design of the fast ME algorithms.
H.264/A VC motion estimation video compression fast algorithm
Xie Liyin Su Xiuqin Zhang Shun
Key Laboratory of Ultrafast Photoelectric Diagnostics Technology Xian Institute of Optics & Precision Mechanics, Chinese Academy of Sciences Xian, Shaanxi, 710119, China Graduate College of Chinese Academy of Science Beijing 100039, China
国际会议
太原
英文
446-450
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）