Visual pattern-based motion estimation for video coding

Sheng Zhong; Francis Chin

doi:10.1117/12.235410

22 March 1996 Visual pattern-based motion estimation for video coding

Sheng Zhong, Francis Chin

Proceedings Volume 2668, Digital Video Compression: Algorithms and Technologies 1996; (1996) https://doi.org/10.1117/12.235410
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Block matching algorithms (BMAs) are often employed for motion estimation (ME) in video coding. Most conventional BMAs treat the ME problem as an optimization problem and employ certain search schemes to find a solution. Except the time-consuming full search algorithms (FS), other fast algorithms such as the three step search (TSS), searching on a reduced search range, cannot guarantee optimal solutions, i.e., search is often trapped at local minima; the ME results are thus usually unsatisfactory. Few of them makes use of the information inherent in the images explicitly. We propose a new ME algorithm which can reduce the search range while guaranteeing global optimality in most cases. Microblock visual patterns are designed to extract edge information to guide block matching: searching is only carried out at places where the real match most likely happens; that is where similar edge features present. The proposed algorithm obtains a speed about 7 - 8 times as fast as that of FS with same search range. The prediction quality is very close to that of FS and much better than that of TSS. It can produce MPEG-1 or MPEG-2 compatible motion vectors, and can be extended to model-based ME. It is suitable for parallel implementation too. Moreover, the visual patterns are potential resources for video indexing to facilitate content-based information retrieval, which is important for applications such as VOD.

Citation Download Citation

Sheng Zhong and Francis Chin "Visual pattern-based motion estimation for video coding", Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); https://doi.org/10.1117/12.235410

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