Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision

Tiesong ZHAO; Yun ZHANG; Sam KWONG; Hanli WANG; Qian CHEN

doi:10.1007/978-3-642-34778-8_45

Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision

Tiesong ZHAO, Yun ZHANG, Sam KWONG, Hanli WANG, Qian CHEN

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes; second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. © 2012 Springer-Verlag.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	484-491
DOIs	https://doi.org/10.1007/978-3-642-34778-8_45
Publication status	Published - 2012
Externally published	Yes

Bibliographical note

This work was supported in part by the Hong Kong Research Grants Council General Research Fund, under Project 9041495 (CityU 115109) and City University of Hong Kong Grant 9610025, the National Natural Science Foundation of China under Grant 61070147/61102088, Basic Research Program of Shenzhen (JC2010052703), and the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, the Program for New Century Excellent Talents in University of China under Grant NCET-10-0634, the Shanghai Pujiang Program under Grant 11PJ1409400, the National Natural Science Foundation of China under Grant 61102059, the Fundamental Research Funds for the Central Universities under Grant 0800219158.

Keywords

early termination
Rate-Distortion estimation
video coding

Access to Document

10.1007/978-3-642-34778-8_45

Cite this

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title = "Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision",

abstract = "To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes; second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. {\textcopyright} 2012 Springer-Verlag.",

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doi = "10.1007/978-3-642-34778-8_45",

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Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision. / ZHAO, Tiesong; ZHANG, Yun; KWONG, Sam et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012. p. 484-491.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AU - ZHANG, Yun

AU - KWONG, Sam

AU - WANG, Hanli

AU - CHEN, Qian

N1 - This work was supported in part by the Hong Kong Research Grants Council General Research Fund, under Project 9041495 (CityU 115109) and City University of Hong Kong Grant 9610025, the National Natural Science Foundation of China under Grant 61070147/61102088, Basic Research Program of Shenzhen (JC2010052703), and the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, the Program for New Century Excellent Talents in University of China under Grant NCET-10-0634, the Shanghai Pujiang Program under Grant 11PJ1409400, the National Natural Science Foundation of China under Grant 61102059, the Fundamental Research Funds for the Central Universities under Grant 0800219158.

PY - 2012

Y1 - 2012

N2 - To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes; second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. © 2012 Springer-Verlag.

AB - To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes; second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. © 2012 Springer-Verlag.

KW - early termination

KW - Rate-Distortion estimation

KW - video coding

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DO - 10.1007/978-3-642-34778-8_45

M3 - Conference paper (refereed)

SP - 484

EP - 491

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision

Abstract

Bibliographical note

Keywords

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