A fast motion estimation method prediction of motion estimation error 


Vol. 29,  No. 9, pp. 1323-1329, Sep.  2004


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  Abstract

This paper presents an enhanced MSEA(multi-level successive elimination algorithm) which is a fast algorithm of the full-search motion estimation. We predict the SAD at the final level using the values of norms at the preceding levels in MSEA and then decide on whether the processing at the following levels should be proceeded or not. We skip the computation at the following levels where the processing is not meaningful anymore. Consequently, we take computational gain. For the purpose of predicting the values of SAD at each level, we first show the theoretical analysis of the value of norm at each level, which is verified by experiments. Based on the analysis a new motion estimation method is proposed and its performance is evaluated.

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  Cite this article

[IEEE Style]

H. Kang, "A fast motion estimation method prediction of motion estimation error," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 9, pp. 1323-1329, 2004. DOI: .

[ACM Style]

Hyun-Soo Kang. 2004. A fast motion estimation method prediction of motion estimation error. The Journal of Korean Institute of Communications and Information Sciences, 29, 9, (2004), 1323-1329. DOI: .

[KICS Style]

Hyun-Soo Kang, "A fast motion estimation method prediction of motion estimation error," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 9, pp. 1323-1329, 9. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880