Motion-based adaptive GOP algorithms for efficient H.264/AVC compression

Jun Ren Ding, Ji Kun Lin, Jar-Ferr Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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 size.

Original languageEnglish
Title of host publicationProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs
Publication statusPublished - 2006 Dec 1
Event9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan
Duration: 2006 Oct 82006 Oct 11

Publication series

NameProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume2006

Other

Other9th Joint Conference on Information Sciences, JCIS 2006
CountryTaiwan
CityTaiwan, ROC
Period06-10-0806-10-11

Fingerprint

Adaptive algorithms

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Ding, J. R., Lin, J. K., & Yang, J-F. (2006). Motion-based adaptive GOP algorithms for efficient H.264/AVC compression. In Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006 [CVPRIP-9] (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; Vol. 2006). https://doi.org/10.2991/jcis.2006.12
Ding, Jun Ren ; Lin, Ji Kun ; Yang, Jar-Ferr. / Motion-based adaptive GOP algorithms for efficient H.264/AVC compression. Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006).
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title = "Motion-based adaptive GOP algorithms for efficient H.264/AVC compression",
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 size.",
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Ding, JR, Lin, JK & Yang, J-F 2006, Motion-based adaptive GOP algorithms for efficient H.264/AVC compression. in Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006., CVPRIP-9, Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006, vol. 2006, 9th Joint Conference on Information Sciences, JCIS 2006, Taiwan, ROC, Taiwan, 06-10-08. https://doi.org/10.2991/jcis.2006.12

Motion-based adaptive GOP algorithms for efficient H.264/AVC compression. / Ding, Jun Ren; Lin, Ji Kun; Yang, Jar-Ferr.

Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. CVPRIP-9 (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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 size.

AB - 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 size.

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Ding JR, Lin JK, Yang J-F. Motion-based adaptive GOP algorithms for efficient H.264/AVC compression. In Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. CVPRIP-9. (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006). https://doi.org/10.2991/jcis.2006.12