Removal of Search Point using Motion Vector Correlation and Distance between Reference Frames in H.264/AVC 


Vol. 37,  No. 2, pp. 113-118, Feb.  2012


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  Abstract

In this paper, we propose the removal of search point using motion vector correlation and distance between reference frames in H.264/AVC. We remove the search points in full search method and predictive motion vectors in enhanced predictive zonal search method. Since the probability that the reference frame far from the current frame is selected as the best reference frame is decreased, we apply the weighted average based on distance between the current and reference frame to determine the fianl search range. In general, the size of search range is smaller than initial search range. We reduce motion estimation time using the final search range in full search method. Also, the refinement process is adaptively applied to each reference frame. The proposed methods reduce the computational throughput of full search method by 57.13% and of enhanced predictive zonal search by 14.71% without visible performance degradation.

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  Cite this article

[IEEE Style]

J. Moon, J. Choi, Y. Ho, "Removal of Search Point using Motion Vector Correlation and Distance between Reference Frames in H.264/AVC," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 2, pp. 113-118, 2012. DOI: .

[ACM Style]

Ji-Hee Moon, Jung-Ah Choi, and Yo-Sung Ho. 2012. Removal of Search Point using Motion Vector Correlation and Distance between Reference Frames in H.264/AVC. The Journal of Korean Institute of Communications and Information Sciences, 37, 2, (2012), 113-118. DOI: .

[KICS Style]

Ji-Hee Moon, Jung-Ah Choi, Yo-Sung Ho, "Removal of Search Point using Motion Vector Correlation and Distance between Reference Frames in H.264/AVC," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 2, pp. 113-118, 2. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880