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Proceedings Paper

Using modern motion estimation algorithms in existing video codecs
Author(s): Daniel J. Ringis; Davinder Singh; Francois Pitie; Anil Kokaram
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Paper 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 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.

Paper Details

Date Published: 17 September 2018
PDF: 8 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107520S (17 September 2018); doi: 10.1117/12.2322411
Show Author Affiliations
Daniel J. Ringis, Trinity College Dublin (Ireland)
Davinder Singh, Trinity College Dublin (Ireland)
Francois Pitie, Trinity College Dublin (Ireland)
Anil Kokaram, Trinity College Dublin (Ireland)

Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

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