An efficient quality metric for scalable video coding = 스케일러블 영상 부호화에서의 효과적인 영상 품질 메트릭

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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 thesis, 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 scalabilities 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.
Advisors
Ro, Yong-Manresearcher노용만researcher
Description
한국정보통신대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2007
Identifier
392751/225023 / 020054575
Language
eng
Description

학위논문(석사) - 한국정보통신대학교 : 공학부, 2007.2, [ vi, 46 p. ]

Keywords

DSCQS; Video Quality Metric; SVC; 스케일러블 비디오 코딩; 이중 자극 화질 척도법; 영상 품질 메트릭; Scalable Video Coding

URI
http://hdl.handle.net/10203/54797
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392751&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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