A novel partial block-matching motion estimation algorithm

Xinghua Sun; Guoying Jin; Mei Huang; Guangyou Xu

doi:10.1117/12.538700

25 September 2003 A novel partial block-matching motion estimation algorithm

Xinghua Sun, Guoying Jin, Mei Huang, Guangyou Xu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538700
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

Integral image as an intermediate image representation can be used to calculate the sum of gray level in rectangle quickly, based on which this paper presents a novel partial matching error function based on sub block mean. The optimal sub block division is a key to the matching error function based on sub block mean and is determined to be 4 under the hierarchical block matching. Experiments show that the matching error function based on sub block mean is superior to both the full matching error function and the matching error function based on sub sampling in terms of the motion estimation quality and speed. The matching error function based on sub block mean with the content sub block division guarantees the almost same wasting time to the different matching images, which is very suitable for the real-time applications such as video compression.

Citation Download Citation

Xinghua Sun, Guoying Jin, Mei Huang, and Guangyou Xu "A novel partial block-matching motion estimation algorithm", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538700

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