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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.5 P.773~783


Distributed media cooperation for enhanced video communication

Author(s):  Chakareski Jacob

Affiliation(s):  Ecole Polytechnique Fé more

Corresponding email(s):   jakov.cakareski@epfl.ch

Key Words:  Media cooperation, Distributed video streaming, Wireless networks, Resource allocation, Rate-quality optimization

Chakareski Jacob. Distributed media cooperation for enhanced video communication[J]. Journal of Zhejiang University Science A, 2006, 7(5): 773~783.

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The author designed two algorithms for distributed cooperation among multiple video streams sharing common communication resources. The algorithms take advantage of an optimization framework that characterizes video packets such that joint resource allocation can be implemented not only over the packets of a single stream, but also across packets of different streams. The first algorithm enables collaboration among multiple video senders in an 802.11 CSMA/CA wireless network such that their joint performance is maximized. Via the algorithm, the users cooperatively establish transmission priorities based on the assigned characterizations of their video packets. The second technique allows for low-complexity joint bandwidth adaptation of multiple video streams at intermediate network nodes in the Internet in order to maximize the overall network performance. The author analyzes the advantages of the proposed algorithms over conventional solutions employed in such scenarios. It is shown that depending on system parameters such as available network data rate the proposed techniques can provide substantial gains in end-to-end performance.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


[1] Bai, Y., Ito, M., 2004. Network-Level Loss Control Schemes for Streaming Video. Proc. ICME.

[2] Balakrishnan, R., Ramakrishnan, K., 2000. Active Router Approach for Selective Packet Discard of Streamed MPEG Video under Low Bandwidth Conditions. Proc. ICME.

[3] Bouazizi, I., 2003. Size-Distortion Optimized Proxy Caching for Robust Transmission of MPEG-4 Video. Proc. MIPS.

[4] Bucciol, P., Davini, G., Masala, E., Filippi, E., Martin, J.D., 2004. Crosslayer Perceptual ARQ for H.264 Video Streaming over 802.11 Wireless Networks. Proc. Globecom.

[5] Chakareski, J., Frossard, P., 2005a. Rate-Distortion Optimized Bandwidth Adaptation for Distributed Media Delivery. Proc. ICME.

[6] Chakareski, J., Frossard, P., 2005b. Low-Complexity Adaptive Streaming via Optimized a Priori Media Pruning. Proc. MMSP.

[7] Chakareski, J., Frossard, P., 2005c. Distributed Packet Scheduling of Multiple Video Streams over Shared Communication Resources. Proc. MMSP.

[8] Chen, M., Wei, G., 2004. Multi-stages hybrid ARQ with conditional frame skipping and reference frame selecting scheme for real-time video transport over wireless LAN. IEEE Trans. Cons. Electronics, 50(1):158-167.

[9] Chen, Y., Ye, J., Floriach, C., Challapali, K., 2003. Video Streaming over Wireless LAN with Efficient Scalable Coding and Prioritized Adaptive Transmission. Proc. ICIP.

[10] Choi, L.U., Kellerer, W., Steinhach, E., 2004. Cross Layer Optimization for Wireless Multi-User Video Streaming. Proc. ICIP.

[11] Chou, P.A., Lookabaugh, T., Gray, R.M., 1989. Entropy-constrained vector quantization. IEEE Trans. ASSP, 37(1):31-42.

[12] Everett, H., 1963. Generalized lagrange multiplier method for solving problems of optimum allocation of resources. Operations Research, 11(3):399-417.

[13] Kalman, M., Girod, B., van Beek, P., 2005. Optimized Transcoding Rate Selection and Packet Scheduling for Transmitting Multiple Video Streams over a Shared Channel. Proc. ICIP.

[14] Keller, R., Choi, S., Dasen, M., Decasper, D., Fankhauser, G., Plattner, B., 2000. An Active Router Architecture for Multicast Video Distribution. Proc. INFOCOM.

[15] Li, Q., van der Schaar, M., 2004. Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation. IEEE Trans. Multimedia, 6(2):278-290.

[16] Majumdar, A., Sachs, D.G., Kozintsev, I.V., Ramchandran, K., Yeung, M.M., 2002. Multicast and unicast real-time video streaming over wireless LANs. IEEE Trans. CSVT, 12(6):524-534.

[17] Ortega, A., Ramchandran, K., 1998. From rate-distortion theory to commercial image and video compression technology. IEEE SP Magazine, 15(6):20-22.

[18] Pahlavan, K., Krishnamurthy, P., 2001. Principles of Wireless Networks: A Unified Approach, 1st Ed. Prentice-Hall, Englewood Cliffs, NJ.

[19] Shoham, Y., Gersho, A., 1988. Efficient bit allocation for an arbitrary set of quantizers. IEEE Trans. ASSP, 36(9):1445-1453.

[20] Stuhlmüller, K., Färber, N., Link, M., Girod, B., 2000. Analysis of video transmission over lossy channels. IEEE JSAC, 18(6):1012-1032.

[21] Sullivan, G.J., Wiegand, T., 1998. Rate-distortion optimization for video compression. IEEE SP Magazine, 15(6):74-90.

[22] Tapia, R.A., 2000. Mathematical Optimization and Lagrange Multiplier Theory for Scientists and Engineers. Course notes CAAM-460, Rice University, Houston, TX.

[23] Telecom. Standardization Sector of ITU, 2003. Video Coding for Low Bitrate Communication. Draft ITU-T Recommendation H.264.

[24] Tu, W., Kellerer, W., Steinbach, E., 2004. Rate-Distortion Optimized Video Frame Dropping on Active Network Nodes. Proc. Packet Video Workshop.

[25] Xu, X., van der Schaar, M., Krishnamachari, S., Choi, S., Wang, Y., 2004. Fine-Granular-Scalability Video Streaming over Wireless LANs Using Cross Layer Error Control. Proc. ICASSP.

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