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
Available Online October 2006.
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.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jun-Ren Ding
AU  - Jar-Ferr Yang
AU  - Ji-Kun Lin
PY  - 2006/10
DA  - 2006/10
TI  - Motion-based Adaptive GOP Algorithms for Efficient H.264/AVC Compression
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.12
DO  - https://doi.org/10.2991/jcis.2006.12
ID  - Ding2006/10
ER  -