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

Chung Hao Wu; Yu Chen Tseng; Wen-Hsiao Peng

doi:10.1109/ISCAS.2012.6271644

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

Department of Computer Science

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	1903-1906
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2012.6271644
State	Published - 28 Sep 2012
Event	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of Duration: 20 May 2012 → 23 May 2012

Conference

Conference	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
Country	Korea, Republic of
City	Seoul
Period	20/05/12 → 23/05/12

Access to Document

10.1109/ISCAS.2012.6271644

Fingerprint Dive into the research topics of 'Analytical mode-dependent rate and distortion models for H.264/SVC coarse grain scalability'. Together they form a unique fingerprint.

Cite this

@conference{7ea4ced4c8ae438dab217e01aa7e4c3f,

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

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.",

author = "Wu, {Chung Hao} and Tseng, {Yu Chen} and Wen-Hsiao Peng",

year = "2012",

month = sep,

day = "28",

doi = "10.1109/ISCAS.2012.6271644",

language = "English",

pages = "1903--1906",

note = "null ; Conference date: 20-05-2012 Through 23-05-2012",

}

TY - CONF

T1 - Analytical mode-dependent rate and distortion models for H.264/SVC coarse grain scalability

AU - Wu, Chung Hao

AU - Tseng, Yu Chen

AU - Peng, Wen-Hsiao

PY - 2012/9/28

Y1 - 2012/9/28

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84866623755&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2012.6271644

DO - 10.1109/ISCAS.2012.6271644

M3 - Paper

AN - SCOPUS:84866623755

SP - 1903

EP - 1906

Y2 - 20 May 2012 through 23 May 2012

ER -

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

Abstract

Conference

Access to Document

Other files and links

Cite this