Analytical mode-dependent rate and distortion models for H.264/SVC coarse grain scalability

Chung Hao Wu*, Yu Chen Tseng, Wen-Hsiao Peng

*Corresponding author for this work

    Research output: Contribution to conferencePaperpeer-review

    1 Scopus citations

    Abstract

    This paper presents analytical rate and distortion models to estimate the rate-distortion (R-D) behavior of different coding modes for H.264/SVC coarse grain scalability (CGS) by jointly considering the effects of quantization, motion-compensated prediction, and motion partitioning structures. Based on the forward channel model and two statistical signal models, we first derive a pair of mode-dependent rate and distortion models for coding modes in base layer. Then these models are extended to account for the coding modes with inter-layer residual prediction in enhancement layer, especially for CGS. Preliminary results show that the proposed rate and distortion models for both layers have the potentiality to estimate the R-D behavior of real data.

    Original languageEnglish
    Pages1903-1906
    Number of pages4
    DOIs
    StatePublished - 28 Sep 2012
    Event2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of
    Duration: 20 May 201223 May 2012

    Conference

    Conference2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period20/05/1223/05/12

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