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Adaptive Group of Pictures Structure Based On the Positions of Video Cuts

Authors: Lenka Krulikovská, Jaroslav Polec, Michal Martinovič


In this paper we propose a method which improves the efficiency of video coding. Our method combines an adaptive GOP (group of pictures) structure and the shot cut detection. We have analyzed different approaches for shot cut detection with aim to choose the most appropriate one. The next step is to situate N frames to the positions of detected cuts during the process of video encoding. Finally the efficiency of the proposed method is confirmed by simulations and the obtained results are compared with fixed GOP structures of sizes 4, 8, 12, 16, 32, 64, 128 and GOP structure with length of entire video. Proposed method achieved the gain in bit rate from 0.37% to 50.59%, while providing PSNR (Peak Signal-to-Noise Ratio) gain from 1.33% to 0.26% in comparison to simulated fixed GOP structures.

Keywords: video coding, shot cut detection, Adaptive GOP structure, video content

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[1] T. Wiegand, G. J. Sullivan, G. Bjontegard, and A. Luthra, "Overview of the H.264/AVC video coding standard," IEEE Trans. on CSVT, vol. 13, no. 7, pp. 560-576, July 2003.
[2] JVT Editors, Draft ITUT Recommendation and final draft international standard of joint video specification (ITU-T Rec.H.264 |ISO/IEC 14496- 10 AVC), JVT-G050r1, Geneva, May 2003.
[3] D. Zhang and G. Lu, “Review of shape representation and description techniques,” Pattern Recognition., vol. 37, no. 1, pp. 1–19, 2004.
[4] S.-C. Hsia, S.-C. Cheng and C.-L. Chen, “A real-time chip implementation for adaptive video coding control,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 8, pp. 1098- 1104, August 2004.
[5] S. Paschalakis and D. Simmons, (2008, April 24), “Detection of gradual transitions in video sequences” (Online). Available: 0594&DISPLAY=STATUS
[6] A. Hanjalic, “Shot-boundary detection: unraveled and resolved?,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 2, pp. 90–105, 2002.
[7] L. Krulikovska and J. Polec, “A novel method of comparison frames for video cuts detection” Proceeding of Redžúr 2011 5th International Workshop on Speech and Signal Processing, in press.
[8] B. Zatt, M. Porto, J. Scharcanski and S. Bampi, “Gop structure adaptive to the video content for efficient H.264/AVC encoding,” Proceedings of 2010 IEEE 17th International Conference on Image Processing, pp. 3053-3056, September 2010.