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17 September 2018 Using modern motion estimation algorithms in existing video codecs
Daniel J. Ringis, Davinder Singh, Francois Pitie, Anil Kokaram
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Proceedings Volume 10752, Applications of Digital Image Processing XLI; 107520S (2018) https://doi.org/10.1117/12.2322411
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States
Abstract
Motion estimation is a key component of any modern video codec. Our understanding of motion and the estimation of motion from video has come a very long way since 2000. More than 135 different algorithms have been recently reviewed by Scharstein et al http://vision.middlebury.edu/flow/. These new algorithms differ markedly from Block Matching which has been the mainstay of video compression for some time. This paper presents comparisons of H.264 and MP4 compression using different motion estimation methods. In so doing we present as well methods for adapting pre-computed motion fields for use within a codec. We do not observe significant gains to be had with the methods chosen w.r.t. Rate Distortion tradeoffs but the results reflect a significantly more complex interrelationship between motion and compression than would be expected. There remains much more to be done to improve the coverage of this comparison to the emerging standards but these initial results show that there is value in these explorations.
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Daniel J. Ringis, Davinder Singh, Francois Pitie, and Anil Kokaram "Using modern motion estimation algorithms in existing video codecs", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107520S (17 September 2018); https://doi.org/10.1117/12.2322411
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KEYWORDS
Motion estimation
Diamond
Video compression
Video
Optical flow
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