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CLC number: TN919.8
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Received: 2005-12-02
Revision Accepted: 2006-03-03
Crosschecked: 0000-00-00
Cited: 4
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Video classification for video quality prediction
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Liu Yu-xin, Kurceren Ragip, Budhia Udit. Video classification for video quality prediction[J]. Journal of Zhejiang University Science A, 2006, 7(5): 919-926.
@article{title="Video classification for video quality prediction",
author="Liu Yu-xin, Kurceren Ragip, Budhia Udit",
journal="Journal of Zhejiang University Science A",
volume="7",
number="5",
pages="919-926",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0919"
}
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DOI - 10.1631/jzus.2006.A0919
Abstract: In this paper we propose a novel method for video quality prediction using video classification. In essence, our approach can serve two goals: (1) To measure the video quality of compressed video sequences without referencing to the original uncompressed videos, i.e., to realize no-Reference (NR) video quality evaluation; (2) To predict quality scores for uncompressed video sequences at various bitrates without actually encoding them. The use of our approach can help realize video streaming with ideal quality of Service (QoS). Our approach is a low complexity solution, which is specially suitable for application to mobile video streaming where the resources at the handsets are scarce.
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[7] Wang, Z., Sheikh, H.R., Bovik, A.C., 2003. Objective video quality assessment. In: Furht, B., Marqure, O. (Eds.), The Handbook of Video Databases: Design and Applications. CRC Press, p.1041-1078. Available from http://www.cns.nyu.edu/~zwang/files/publications.html.
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