TY - GEN
T1 - Content-aware distortion-fair video streaming in networks
AU - Li, Ying
AU - Li, Zhu
AU - Chiang, Mung
AU - Calderbank, A. Robert
PY - 2008
Y1 - 2008
N2 - Internet is experiencing an explosive growth of video traffic. Given the limited network bandwidth resources, how to provide Internet users with good video playback quality is a key problem. For video clips competing bandwidth, we propose an approach of Content-Aware distortion-Fair (CAF) video delivery scheme, which is assumed to be aware of the characteristics of video frames and ensures max-min distortion fair sharing among video flows. Different from bandwidth fair sharing, CAF targets video playback quality fairness for the reason that users care about video quality rather than bandwidth. The proposed CAF approach does not need an analytical rate-distortion function which is difficult to estimate, but instead, it uses the explicit distortion of every frame which is induced by frame drop. Our CAF approach is fast and practical with content-aware cooperation. Experimental results show that the proposed approach yields better quality of service when the network is congested compared with the approach not rate-distortion optimized, and it makes competing video clips help each other to get fair playback quality.
AB - Internet is experiencing an explosive growth of video traffic. Given the limited network bandwidth resources, how to provide Internet users with good video playback quality is a key problem. For video clips competing bandwidth, we propose an approach of Content-Aware distortion-Fair (CAF) video delivery scheme, which is assumed to be aware of the characteristics of video frames and ensures max-min distortion fair sharing among video flows. Different from bandwidth fair sharing, CAF targets video playback quality fairness for the reason that users care about video quality rather than bandwidth. The proposed CAF approach does not need an analytical rate-distortion function which is difficult to estimate, but instead, it uses the explicit distortion of every frame which is induced by frame drop. Our CAF approach is fast and practical with content-aware cooperation. Experimental results show that the proposed approach yields better quality of service when the network is congested compared with the approach not rate-distortion optimized, and it makes competing video clips help each other to get fair playback quality.
UR - http://www.scopus.com/inward/record.url?scp=67249112665&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67249112665&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2008.ECP.342
DO - 10.1109/GLOCOM.2008.ECP.342
M3 - Conference contribution
AN - SCOPUS:67249112665
SN - 9781424423248
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 1768
EP - 1773
BT - 2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
T2 - 2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Y2 - 30 November 2008 through 4 December 2008
ER -