Stackelberg Game Based Rate Allocation for HEVC Region of Interest Coding

Zizheng LIU; Xiang PAN; Yiming LI; Zhenzhong CHEN

doi:10.1109/ICME.2018.8486526

Stackelberg Game Based Rate Allocation for HEVC Region of Interest Coding

Zizheng LIU
, Xiang PAN
, Yiming LI
, Zhenzhong CHEN^*

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Region of Interests (ROI) coding has shown advantages in subjectively optimized video coding. In this paper, we propose a new CTU-Ievel rate allocation scheme based on the Stackelberg Game model to enhance the visual quality of ROI which formulates the rate allocation process as a noncooperative Stackelberg Game between the ROI and the non-ROI. In this game, ROI is the leader who takes the priority. Based on the formulated game, the rate allocation problem can be expressed as a utility optimization problem. By solving the corresponding utility optimization problem, a novel CTU-level rate allocation strategy is established, in which a trade-off between the ROI's quality and the overall quality can be achieved. The experimental results show that our proposed scheme can improve the quality of ROI significantly with a negligible overall quality degradation.

Original language	English
Title of host publication	ICME 2018: International Conference on Multimedia and Expo
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781538617373
ISBN (Print)	9781538617380
DOIs	https://doi.org/10.1109/ICME.2018.8486526
Publication status	Published - Jul 2018
Externally published	Yes
Event	2018 IEEE International Conference on Multimedia and Expo, ICME 2018 - San Diego, United States Duration: 23 Jul 2018 → 27 Jul 2018

Publication series

Name	Proceedings - IEEE International Conference on Multimedia and Expo
Volume	2018-July
ISSN (Print)	1945-7871
ISSN (Electronic)	1945-788X

Conference

Conference	2018 IEEE International Conference on Multimedia and Expo, ICME 2018
Country/Territory	United States
City	San Diego
Period	23/07/18 → 27/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61471273 and 61771348, and by Wuhan Morning Light Plan of Youth Science and Technology under Grant 2017050304010302.

Keywords

HEVC
rate allocation
ROI coding
Stackelberg game

Access to Document

10.1109/ICME.2018.8486526

Cite this

@inproceedings{2524241063084620805293ab7572ffcf,

title = "Stackelberg Game Based Rate Allocation for HEVC Region of Interest Coding",

abstract = "Region of Interests (ROI) coding has shown advantages in subjectively optimized video coding. In this paper, we propose a new CTU-Ievel rate allocation scheme based on the Stackelberg Game model to enhance the visual quality of ROI which formulates the rate allocation process as a noncooperative Stackelberg Game between the ROI and the non-ROI. In this game, ROI is the leader who takes the priority. Based on the formulated game, the rate allocation problem can be expressed as a utility optimization problem. By solving the corresponding utility optimization problem, a novel CTU-level rate allocation strategy is established, in which a trade-off between the ROI's quality and the overall quality can be achieved. The experimental results show that our proposed scheme can improve the quality of ROI significantly with a negligible overall quality degradation.",

keywords = "HEVC, rate allocation, ROI coding, Stackelberg game",

author = "Zizheng LIU and Xiang PAN and Yiming LI and Zhenzhong CHEN",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Multimedia and Expo, ICME 2018 ; Conference date: 23-07-2018 Through 27-07-2018",

year = "2018",

month = jul,

doi = "10.1109/ICME.2018.8486526",

language = "English",

isbn = "9781538617380",

series = "Proceedings - IEEE International Conference on Multimedia and Expo",

publisher = "IEEE",

booktitle = "ICME 2018: International Conference on Multimedia and Expo",

}

LIU, Z, PAN, X, LI, Y & CHEN, Z 2018, Stackelberg Game Based Rate Allocation for HEVC Region of Interest Coding. in ICME 2018: International Conference on Multimedia and Expo., 8486526, Proceedings - IEEE International Conference on Multimedia and Expo, vol. 2018-July, IEEE, 2018 IEEE International Conference on Multimedia and Expo, ICME 2018, San Diego, California, United States, 23/07/18. https://doi.org/10.1109/ICME.2018.8486526

Stackelberg Game Based Rate Allocation for HEVC Region of Interest Coding. / LIU, Zizheng; PAN, Xiang; LI, Yiming et al.
ICME 2018: International Conference on Multimedia and Expo. IEEE, 2018. 8486526 (Proceedings - IEEE International Conference on Multimedia and Expo; Vol. 2018-July).

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

TY - GEN

T1 - Stackelberg Game Based Rate Allocation for HEVC Region of Interest Coding

AU - LIU, Zizheng

AU - PAN, Xiang

AU - LI, Yiming

AU - CHEN, Zhenzhong

PY - 2018/7

Y1 - 2018/7

N2 - Region of Interests (ROI) coding has shown advantages in subjectively optimized video coding. In this paper, we propose a new CTU-Ievel rate allocation scheme based on the Stackelberg Game model to enhance the visual quality of ROI which formulates the rate allocation process as a noncooperative Stackelberg Game between the ROI and the non-ROI. In this game, ROI is the leader who takes the priority. Based on the formulated game, the rate allocation problem can be expressed as a utility optimization problem. By solving the corresponding utility optimization problem, a novel CTU-level rate allocation strategy is established, in which a trade-off between the ROI's quality and the overall quality can be achieved. The experimental results show that our proposed scheme can improve the quality of ROI significantly with a negligible overall quality degradation.

AB - Region of Interests (ROI) coding has shown advantages in subjectively optimized video coding. In this paper, we propose a new CTU-Ievel rate allocation scheme based on the Stackelberg Game model to enhance the visual quality of ROI which formulates the rate allocation process as a noncooperative Stackelberg Game between the ROI and the non-ROI. In this game, ROI is the leader who takes the priority. Based on the formulated game, the rate allocation problem can be expressed as a utility optimization problem. By solving the corresponding utility optimization problem, a novel CTU-level rate allocation strategy is established, in which a trade-off between the ROI's quality and the overall quality can be achieved. The experimental results show that our proposed scheme can improve the quality of ROI significantly with a negligible overall quality degradation.

KW - HEVC

KW - rate allocation

KW - ROI coding

KW - Stackelberg game

UR - https://www.scopus.com/pages/publications/85061437006

U2 - 10.1109/ICME.2018.8486526

DO - 10.1109/ICME.2018.8486526

M3 - Conference paper (refereed)

AN - SCOPUS:85061437006

SN - 9781538617380

T3 - Proceedings - IEEE International Conference on Multimedia and Expo

BT - ICME 2018: International Conference on Multimedia and Expo

PB - IEEE

T2 - 2018 IEEE International Conference on Multimedia and Expo, ICME 2018

Y2 - 23 July 2018 through 27 July 2018

ER -

Stackelberg Game Based Rate Allocation for HEVC Region of Interest Coding

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Keywords

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