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A Fast Motion Estimation Scheme using Spatial and Temporal Characteristics  

노대영 (광운대학교 전자공학과)
장호연 (광운대학교 전자공학과)
오승준 (광운대학교 전자공학과)
석민수 (성균관대학교 정보통신공학부)
Publication Information
Abstract
The Motion Estimation (ME) process is an important part of a video encoding systems since they can significantly reduce bitrate with keeping the output quality of an encoded sequence. Unfortunately this process may dominate the encoding time using straightforward full search algorithm (FS). Up to now, many fast algorithms can reduce the computation complexity by limiting the number of searching locations. This is accomplished at the expense of less accuracy of motion estimation. In this paper, we introduce a new fast motion estimation method based on the spatio-temporal correlation of adjacent blocks. A reliable predicted motion vector (RPMV) is defined. The reliability of RPMV is shown on the basis of motion vectors achieved by FS. The scalar and the direction of RPMV are used in our proposed scheme. The experimental results show that the proposed method Is about l1~14% faster than the nearest neighbor method which is a wellknown conventional fast scheme.
Keywords
BMA; Motion estimation; Motion vector prediction; H.263;
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Times Cited By KSCI : 1  (Citation Analysis)
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