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Proceedings Paper

A novel partial block-matching motion estimation algorithm
Author(s): Xinghua Sun; Guoying Jin; Mei Huang; Guangyou Xu
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Paper 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.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538700
Show Author Affiliations
Xinghua Sun, Tsinghua Univ. (China)
Guoying Jin, Tsinghua Univ. (China)
Mei Huang, Tsinghua Univ. (China)
Guangyou Xu, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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