Efficiency of Dynamic GOP Length in Video Stream

Zi Ling; Xing Jun Jiang; Jian Jun Liu

doi:10.4028/www.scientific.net/AMR.765-767.879

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Efficiency of Dynamic GOP Length in Video Stream

Efficiency of Dynamic GOP Length in Video Stream

Abstract:

Multiple description codes are designed for multiple path video streaming with channel diversities and an efficient MDC technique based on the applied spatial domain processing features. In this paper, we investigate the performance of multi-path video streaming using a multiple description coding (MDC) technique, especially the impacts of several codec variables, such as different lengths of the Group of Pictures (GOP), and the different startup times of I-frame in each independent MDC sub-streams. The overall performance of the system is evaluated by the frame dropout rate, which indicates the probability of playing back frozen frames of the reconstructed video at the receiver devices. To address dynamic channel conditions for video transmissions, we propose an adaptive coding technique by adjusting the GOP lengths according to the channel condition and combinatorial mathematics optimization in length of GOP adjustment. Different approaches, such as sub-dividing GOPs for a single stream and multiple sub-streams, and an adaptive MDC video streaming system, are examined in this paper.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

879-884

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.879

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Online since:

September 2013

Authors:

Zi Ling, Xing Jun Jiang, Jian Jun Liu

Keywords:

Adaptive Streaming, Combinatorial Mathematics Optimization, Dynamic Coding, Length of GOP, MDC Coding, Video Stream

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References

[1] V. K. Goyal, Multiple description coding: Compression meets the network, IEEE Signal Processing Magazine, September (2001), pp.74-93.

DOI: 10.1109/79.952806

Google Scholar

[2] T. Nguyen and A. Zakhor, Distributed video streaming over the internet, Proc. of SPIE Conference on Multimedia Computing and Networking, Jan. (2002), pp.186-195.

DOI: 10.1117/12.449979

Google Scholar

[3] P. A. Chou and K. Ramchandran, Clustering source/channel rate allocations for receiver-driven multicast with error control under a limited number of streams, Proc. of IEEE International Conference on Multimedia and Expo, July (2000).

DOI: 10.1109/icme.2000.870987

Google Scholar

[4] V. K. Goyal, J. Kovacevic, and M. Vetterli, Multiple description transform coding: Robustness to erasures using tight frame expansions, Proc. of IEEE International Symposium on Information Theory, August (1998).

DOI: 10.1109/isit.1998.709013

Google Scholar

[5] I. Lee and L. Guan, Reliable video communication with multi-path streaming, Proc. of IEEE International Conference on Multimedia and Expo, July (2005).

DOI: 10.1109/icme.2005.1521522

Google Scholar

[6] I. Lee, Y. He, and L. Guan, Centralized P2P Streaming with MDC, Proc. of IEEE Multimedia Signal Processing Workshop, Shanghai, China, Oct (2005), pp.189-192.

DOI: 10.1109/mmsp.2005.248598

Google Scholar

[7] W. Effelsberg, O. Spaniol, A. Danthine and D. Ferrari, editors, High-speed networking for Multimedia Applications, Kluwer Academic Publishers, (1996).

DOI: 10.1007/978-1-4613-1339-7

Google Scholar

[8] H. Kanakia, P. Mishra, and A. Reibman, Adaptive Congestion Control Scheme for Real-time Packet Video Transport, SIGCOMM Symposium on Communications Architecture and Protocols, San Francisco, California, ACM/IEEE, Sept. (1993), pp.20-31.

DOI: 10.1145/166237.166240

Google Scholar

[9] Klara Nahrstedt and Ralf Steinmetz, Resource Management in Networked Multimedia Systems", "IEEE Computer, Vol 28, , (1995), pp.52-63.

DOI: 10.1109/2.384118

Google Scholar

[10] D.D. Clark, D. L. Tennenhouse, Architectural Considerations for a New Generation of Proctocals", SIGCOMM, 90, Philadelphia, PA, Sep (1990), pp.200-208.

Google Scholar

[11] J. Roberts, U. Mocci, and J. Virtamo, Broadband Network Teletraffic Final Report of Action Cost 242, Springer, (1996).

Google Scholar

[12] R. Steinmetz, Human Perception of Jitter and Media Synchronization, IEEE Journal on Selected Areas in Communications, Vol. 14, January (1996), pp.61-72.

DOI: 10.1109/49.481694

Google Scholar

[13] F. Wu, S. Li, and Y. -Q. Zhang, A framework for efficient progressive fine granularity scalable video coding, IEEE Transactions on Circuit and Systems for Video Technology, Vol. 11, No. 3, Mar (2001), pp.332-344.

DOI: 10.1109/76.911159

Google Scholar