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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue (5 ): 29-    DOI: 10.1631/jzus.2006.A0919
    
Video classification for video quality prediction
Liu Yu-xin, Kurceren Ragip, Budhia Udit
Sun Labs, Sun Microsystems Inc., Menlo Park, California 94025, USA; Multimedia Technologies Laboratory, Nokia Research Center, Nokia Inc., Irving, Texas 75039, USA; Mobilygen Corporation, Santa Clara, California 95054, USA
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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.

Key words： Video classification      Video quality      No-Reference (NR)      Quality of Service (QoS)      Video streaming     
Received: 02 December 2005     
CLC:  TN919.8  
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Liu Yu-xin
Kurceren Ragip
Budhia Udit
Cite this article:

Liu Yu-xin, Kurceren Ragip, Budhia Udit. Video classification for video quality prediction. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7(5 ): 29-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A0919     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I5 /29

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