Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15880
Title: Content-aware distortion-fair video streaming in congested networks
Authors: Li, Y
Li, Z
Chiang, M
Calderbank, AR
Keywords: Fairness
Internet
Multimedia communication
Optimization
Rate distortion
Resource allocation
Video
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on multimedia, 2009, v. 11, no. 6, 5235177, p. 1182-1193 How to cite?
Journal: IEEE transactions on multimedia 
Abstract: Internet is experiencing a substantial growth of video traffic. Given the limited network bandwidth resources, how to provide Internet users with good video playback quality-of-service (QoS) is a key problem. For video clips competing bandwidth, we propose an approach of Content-Aware distortion-Fair (CAF) video delivery scheme, which is aware of the characteristics of video frames and ensures max-min distortion-fair sharing among video flows. CAF leverages content-awareness to prioritize packet dropping during congestion. Different from bandwidth fair sharing, CAF targets end-to-end video playback quality fairness among users. The proposed CAF approach does not require rate-distortion modeling of the source, which is difficult to estimate. Instead, it exploits the temporal prediction structure of the video sequences along with a frame drop distortion metric to guide resource allocations and coordinations. Experimental results show that the proposed approach operates with limited overhead in computation and communication, and yields better QoS, especially when the network is congested.
URI: http://hdl.handle.net/10397/15880
ISSN: 1520-9210
EISSN: 1941-0077
DOI: 10.1109/TMM.2009.2026102
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