Content adaptive quantization parameter cascading for random-access structure in HEVC

Kaifang Yang; Shuai Wan; Yanchao Gong; Yan Feng

doi:10.1109/ICIP.2017.8296732

Content adaptive quantization parameter cascading for random-access structure in HEVC

Kaifang Yang
, Shuai Wan
, Yanchao Gong
, Yan Feng

School of Electronics and Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In high-efficiency coding (HEVC), the random-access structure (RAS) is employed due to its high coding efficiency and 'random-access' performance. Pictures in RAS are assigned to different temporal layers. And how to select the QP for each temporal layer in quantization parameter cascading (QPC) technique is critical for improving the coding efficiency of RAS. In order to further improve the coding efficiency of RAS, a QPC technique considering the video content characteristics (denoted as VC-QPC for short) is proposed. In VC-QPC, motion and texture complexities of a video are used for predicting the optimal quantization parameter values of temporal layers. Compared with the method in the test model of HEVC, i.e., HM14.0, the BD-rate of proposed VC-QPC is -5.60% for RAS.

Original language	English
Title of host publication	2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
Publisher	IEEE Computer Society
Pages	2498-2502
Number of pages	5
ISBN (Electronic)	9781509021758
DOIs	https://doi.org/10.1109/ICIP.2017.8296732
State	Published - 2 Jul 2017
Event	24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: 17 Sep 2017 → 20 Sep 2017

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2017-September
ISSN (Print)	1522-4880

Conference

Conference	24th IEEE International Conference on Image Processing, ICIP 2017
Country/Territory	China
City	Beijing
Period	17/09/17 → 20/09/17

Keywords

HEVC
Quantization parameter cascading
Random access structure
Video coding

Access to Document

10.1109/ICIP.2017.8296732

Cite this

Yang, K., Wan, S., Gong, Y., & Feng, Y. (2017). Content adaptive quantization parameter cascading for random-access structure in HEVC. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (pp. 2498-2502). (Proceedings - International Conference on Image Processing, ICIP; Vol. 2017-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2017.8296732

@inproceedings{a9a351ebf2a741e987d98ed121bd6a70,

title = "Content adaptive quantization parameter cascading for random-access structure in HEVC",

abstract = "In high-efficiency coding (HEVC), the random-access structure (RAS) is employed due to its high coding efficiency and 'random-access' performance. Pictures in RAS are assigned to different temporal layers. And how to select the QP for each temporal layer in quantization parameter cascading (QPC) technique is critical for improving the coding efficiency of RAS. In order to further improve the coding efficiency of RAS, a QPC technique considering the video content characteristics (denoted as VC-QPC for short) is proposed. In VC-QPC, motion and texture complexities of a video are used for predicting the optimal quantization parameter values of temporal layers. Compared with the method in the test model of HEVC, i.e., HM14.0, the BD-rate of proposed VC-QPC is -5.60\% for RAS.",

keywords = "HEVC, Quantization parameter cascading, Random access structure, Video coding",

author = "Kaifang Yang and Shuai Wan and Yanchao Gong and Yan Feng",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th IEEE International Conference on Image Processing, ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",

year = "2017",

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day = "2",

doi = "10.1109/ICIP.2017.8296732",

language = "英语",

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Yang, K, Wan, S, Gong, Y & Feng, Y 2017, Content adaptive quantization parameter cascading for random-access structure in HEVC. in 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. Proceedings - International Conference on Image Processing, ICIP, vol. 2017-September, IEEE Computer Society, pp. 2498-2502, 24th IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, 17/09/17. https://doi.org/10.1109/ICIP.2017.8296732

Content adaptive quantization parameter cascading for random-access structure in HEVC. / Yang, Kaifang; Wan, Shuai; Gong, Yanchao et al.
2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, 2017. p. 2498-2502 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2017-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Content adaptive quantization parameter cascading for random-access structure in HEVC

AU - Yang, Kaifang

AU - Wan, Shuai

AU - Gong, Yanchao

AU - Feng, Yan

PY - 2017/7/2

Y1 - 2017/7/2

N2 - In high-efficiency coding (HEVC), the random-access structure (RAS) is employed due to its high coding efficiency and 'random-access' performance. Pictures in RAS are assigned to different temporal layers. And how to select the QP for each temporal layer in quantization parameter cascading (QPC) technique is critical for improving the coding efficiency of RAS. In order to further improve the coding efficiency of RAS, a QPC technique considering the video content characteristics (denoted as VC-QPC for short) is proposed. In VC-QPC, motion and texture complexities of a video are used for predicting the optimal quantization parameter values of temporal layers. Compared with the method in the test model of HEVC, i.e., HM14.0, the BD-rate of proposed VC-QPC is -5.60% for RAS.

AB - In high-efficiency coding (HEVC), the random-access structure (RAS) is employed due to its high coding efficiency and 'random-access' performance. Pictures in RAS are assigned to different temporal layers. And how to select the QP for each temporal layer in quantization parameter cascading (QPC) technique is critical for improving the coding efficiency of RAS. In order to further improve the coding efficiency of RAS, a QPC technique considering the video content characteristics (denoted as VC-QPC for short) is proposed. In VC-QPC, motion and texture complexities of a video are used for predicting the optimal quantization parameter values of temporal layers. Compared with the method in the test model of HEVC, i.e., HM14.0, the BD-rate of proposed VC-QPC is -5.60% for RAS.

KW - HEVC

KW - Quantization parameter cascading

KW - Random access structure

KW - Video coding

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BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings

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ER -

Content adaptive quantization parameter cascading for random-access structure in HEVC

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