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http://dx.doi.org/10.5909/JBE.2008.13.2.179

Quality Metric with Video Characteristics on Scalable Video Coding  

Yoo, Ha-Na (Information and Communications Univ. Image and Video System Lab.)
Kim, Cheon-Seog (CoreBrid Inc. Research and Development Center)
Lee, Ho-Jun (CoreBrid Inc. Research and Development Center)
Jin, Sung-Ho (Information and Communications Univ. Image and Video System Lab.)
Ro, Yong-Man (Information and Communications Univ. Image and Video System Lab.)
Publication Information
Journal of Broadcast Engineering / v.13, no.2, 2008 , pp. 179-187 More about this Journal
Abstract
In this paper, we proposed the qualify metric based on SVC and the subjective quality. The proposed quality metric is for a general purpose. It means we can use it for any video sequences regardless of its temporal and spatial characteristics. The Quality of Service(QoS) is one of the important issues in heterogeneous environment which has diverse restrictions such as limited network bandwidth and limited display resolution. Scalable Video Coding(SVC) is the efficient video coding skill in heterogeneous environment. Because SVC can be adapted to various quality bitstreams using three scalabilities(spatial, temporal, and SNR) from one bitstream which has full scalability. To maximize the QoS in this environment, we should consider the subjective quality which is the viewer response. And also we should consider temporal and spatial characteristics of video sequence because the subjective quality is affected by temporal and spatial characteristics of video sequence. To verify the efficiency of the proposed method, we perform subjective assessments. The experimental results show that the proposed method has high correlation with subjective quality. The proposed method can be a decision tool of SVC birstream extraction.
Keywords
video quality; quality metric; subjective quality; SVC;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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