Paper: | IMDSP-P5.12 | ||
Session: | Motion Estimation | ||
Time: | Wednesday, May 19, 09:30 - 11:30 | ||
Presentation: | Poster | ||
Topic: | Image and Multidimensional Signal Processing: Image and Video Coding | ||
Title: | FAST MULTI-FRMAE MOTION ESTIMATION ALGORITHM WITH ADAPTIVE SEARCH STATEGIES IN H.264 | ||
Authors: | Eric Li; Intel Corporation | ||
Xiang Li; Tsinghua University | |||
Yen-Kuang Chen; Intel Corporation | |||
Abstract: | In the new MPEG-4/H.264 video coding standard, motion estimation takes up a significant encoding time especially when using the straightforward full search algorithm (FS). In this paper, a fast flexible multi-frame motion estimation algorithm with adaptive search strategies (FMASS) is presented. With special considerations on the multiple reference frames and block modes, several techniques, i.e., adaptive search strategies for single frame and flexible multi-frame selection have been utilized to significantly improve the speed-up performance in H.264. Extensive simulations show that it can minimize the matching points by more than 1190 times compared with FS. In addition, the output quality of the encoded sequences losses only 0.052dB in terms of PSNR on average. Fast speed-up performance and unnoticeable quality losses make the proposed algorithm outperform most of other famous algorithms proposed in recent years, such as ARPS3, MVFAST and UMHexagonS, among which the latter two have been already accepted by MPEG-4 and JVT respectively. | ||
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