1 January 2011 Comprehensive scheme for subpixel variable block-size motion estimation
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J. of Electronic Imaging, 20(1), 013014 (2011). doi:10.1117/1.3553438
Abstract
Fast variable block-size motion estimation is a key issue for real-time applications of the H.264, whereas the subpixel refinement takes up much computational time as compared to integer-pixel motion estimation. We propose a new fast subpixel precision variable block-size motion-estimation scheme. This algorithm uses the statistical information, which comes from the motion activities of the macroblocks (MBs) in the previous frame, to predict the characteristics of MBs in the current frame. Additionally, the distortion values and motion vectors of MBs in the previous frame are also considered as prior knowledge, based on which we can make decisions on early mode selection and early termination, and on whether or not to skip some candidate modes and candidate checking points. The intermediate results of subpixel motion estimation are used together with the prior knowledge to reduce subpixel search time when searching for stationary blocks. Our new directional information strategy is used in both integer-pixel motion estimation and subpixel motion estimation to accelerate the search procedure. Moreover, our algorithm can eliminate the subpixel motion estimation of all the unselected subpartition modes. The computational resources can then be spent on the modes and locations that deserve to be searched more than others. Extensive experimental is been done, the results of which show that the speed of our approach is nearly five times that of the fast algorithms in H.264 JM, with a better peak signal-to-noise ratio and better bit performance.
Ying Zhang, Wan-Chi Siu, Tingzhi Shen, "Comprehensive scheme for subpixel variable block-size motion estimation," Journal of Electronic Imaging 20(1), 013014 (1 January 2011). http://dx.doi.org/10.1117/1.3553438
Submission: Received ; Accepted
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KEYWORDS
Motion estimation

Distortion

Video

Statistical analysis

Motion analysis

Signal processing

Computer programming

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