Bargaining Strategies for Networked Multimedia Resource Management
IEEE Transactions on Signal Processing - Part I
Noncollaborative Resource Management for Wireless Multimedia Applications Using Mechanism Design
IEEE Transactions on Multimedia
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Minimum Variance Optimal Rate Allocation for Multiplexed H.264/AVC Bitstreams
IEEE Transactions on Image Processing
Bit-rate control using piecewise approximated rate-distortion characteristics
IEEE Transactions on Circuits and Systems for Video Technology
Bit allocation and constraints for joint coding of multiple video programs
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Efficient bandwidth resource allocation for low-delay multiuser video streaming
IEEE Transactions on Circuits and Systems for Video Technology
Consistent-degradation macroblock grouping for parallel video streams over DiffServ networks
Computer Communications
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We consider the problem of simultaneous bitrate allocation for multiple video streams. Current methods for multiplexing video streams often rely on identifying the relative complexity of the video streams to improve the combined overall quality. In such methods, not all the videos benefit from the multiplexing process. Typically, the quality of high motion videos is improved at the expense of a reduction in the quality of low motion videos. In our approach, we use a competitive equilibrium allocation of bitrate to improve the quality of all the video streams by finding trades between videos across time. A central controller collects rate-distortion information from each video user and makes a joint bitrate allocation decision. Each user encodes and transmits his video at the allocated bitrate through a shared channel. The proposed method uses information about not only the differing complexity of the video streams at every moment but also the differing complexity of each stream over time. Using the competitive equilibrium bitrate allocation approach for multiple video streams, simulation results show that all the video streams perform better or at least as well as with individual encoding. The results of this research will be useful both for ad hoc networks that employ a cluster head model and for cellular architectures.