Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement

Yong Wang; Tian-Tsong Ng; Mihaela van der Schaar; Shih-Fu Chang

doi:10.1117/12.527413

18 January 2004 Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement

Yong Wang, Tian-Tsong Ng, Mihaela van der Schaar, Shih-Fu Chang

Author Affiliations +

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.527413
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Recently we have witnessed a growing interest in the development of the subband/wavelet coding (SBC) technology, partly due to the superior scalability of SBC. Scalable coding provides great synergy with the universal media access applications, where media content is delivered to client devices of diverse types through heterogeneous channels. In this respect, SBC system provides flexibility in realizing different ways of media scaling, including scaling dimensions of SNR, spatial, and temporal. However, the selection of specific scalability operations given the bit rate constraint has always been ad hoc - a systematic methodology is missing. In this paper, we address this open issue by applying our content-based optimal scalability selection framework and adopting subjective quality evaluation. For this purpose we firstly explore the behavior of SNR-Spatial-Temporal scalability using Motion Compensated (MC) SBC systems. Based on the system behavior, we propose an efficient method for the optimal selection of scalability operator through content-based prediction. Our experiment results demonstrate that the proposed method can efficiently predict the optimal scalability operation with an excellent accuracy.

Citation Download Citation

Yong Wang, Tian-Tsong Ng, Mihaela van der Schaar, and Shih-Fu Chang "Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.527413

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