A control-theoretic approach to rate control for streaming videos
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Content-aware distortion-fair video streaming in congested networks
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Cross-layer QoS provisioning for multimedia transmissions in cognitive radio networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Cooperative video summary transmission in wireless networks
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
A quality-driven decision engine for live video transmission under service-oriented architecture
IEEE Wireless Communications
Journal of Visual Communication and Image Representation
TFRC-based rate control for real-time video streaming over wireless multi-hop mesh networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Quality-aware bandwidth allocation for scalable on-demand streaming in wireless networks
IEEE Journal on Selected Areas in Communications
A theoretical framework for interaction measure and sensitivity analysis in cross-layer design
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Utility function selection for streaming videos with a cognitive engine testbed
Mobile Networks and Applications
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Significance-based energy-efficient path selection for multi-source underwater sensor networks
International Journal of Sensor Networks
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Video summarization has gained increased popularity in the emerging multimedia communication applications, however, very limited work has been conducted to address the transmission problem of video summary frames. In this paper, we propose a cross-layer optimization framework for delivering video summaries over wireless networks. Within a rate-distortion theoretical framework, the source coding, allowable retransmission, and adaptive modulation and coding have been jointly optimized, which reflects the joint selection of parameters at physical, data link and application layers. The goal is to achieve the best video quality and content coverage of the received summary frames and to meet the delay constraint. The problem is solved using Lagirangian relaxation and dynamic programming. Experimental results indicate the effectiveness and efficiency of the proposed optimization framework, especially when the delay budget imposed by the upper layer applications is small, where more than 10% distortion gain can be achieved.