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Proceedings Paper

Quality Metric for H.264/AVC Scalable Video Coding with Full Scalability
Author(s): Cheon Seog Kim; Dongjun Suh; Tae Meon Bae; Yong Man Ro
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Paper Abstract

Scalable Video Coding (SVC) is one of the promising techniques to ensure Quality of Service (QoS) in multimedia communication through heterogeneous networks. SVC compresses a raw video into multiple bitstreams composed of a base bitstream and enhancement bitstreams to support multi scalabilities such as SNR, temporal and spatial. Therefore, it is able to extract an appropriate bitstream from original coded bitstream without re-encoding to adapt a video to user environment. In this flexible environment, QoS has appeared as an important issue for service acceptability. Therefore, there has been a need for measuring a degree of video quality to guarantee the quality of video streaming service. Existing studies on the video quality metric have mainly focused on temporal and SNR scalability. In this paper, we propose an efficient quality metric, which allows for spatial scalability as well as temporal and SNR scalability. To this end, we study the effect of frame rate, SNR, spatial scalability and motion characteristics by using the subjective quality assessment, and then a new video quality metric supporting full scalability is proposed. Experimental results show that this quality metric has high correlation with subjective quality. Because the proposed metric is able to measure a degree of video quality according to the variation of scalability, it will play an important role at the extraction point for determining the quality of SVC.

Paper Details

Date Published: 12 February 2007
PDF: 12 pages
Proc. SPIE 6492, Human Vision and Electronic Imaging XII, 64921P (12 February 2007); doi: 10.1117/12.707549
Show Author Affiliations
Cheon Seog Kim, Information and Communications Univ. (South Korea)
Dongjun Suh, Information and Communications Univ. (South Korea)
Tae Meon Bae, Information and Communications Univ. (South Korea)
Yong Man Ro, Information and Communications Univ. (South Korea)


Published in SPIE Proceedings Vol. 6492:
Human Vision and Electronic Imaging XII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

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