9th Joint International Conference on Information Sciences (JCIS-06)

Motion-based Adaptive GOP Algorithms for Efficient H.264/AVC Compression

Authors
Jun-Ren Ding 0, Jar-Ferr Yang, Ji-Kun Lin
Corresponding author
Jun-Ren Ding
0National Cheng Kung University
DOI
https://doi.org/10.2991/jcis.2006.12How to use a DOI?
Keywords
AGD, SCD, H.264/AVC.
Abstract
H.264/AVC provides several advanced features such as improved coding efficiency and error robustness for video storage and transmission. In this paper, to further improve the coding quality for encoding possible scene changes and fast variation sequences, we propose a new adaptive GOP scheme that uses the existing motion vectors and motion residuals. The proposed scheme effectively identifies the H.264/AVC coding core {I, P} frames using a statistical table that improves the coding efficiency for changed scene sequences and different video content variance. Simulation results show that the proposed adaptive GOP scheme can increase PSNR 0.65 dB on average and achieve a 92% correct rate for scene change detection from the original H.264 reference software JM10.1 operated in the fixed GOP siz.
Copyright
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

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@inproceedings{Ding2006,
  title={Motion-based Adaptive GOP Algorithms for Efficient H.264/AVC Compression},
  author={Ding, Jun-Ren and Yang, Jar-Ferr and Lin, Ji-Kun},
  year={2006},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  issn={1951-6851},
  isbn={978-90-78677-01-7},
  url={http://dx.doi.org/10.2991/jcis.2006.12},
  doi={10.2991/jcis.2006.12},
  publisher={Atlantis Press}
}
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