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

电子信息学院

Shaanxi Normal University
Northwestern Polytechnical University Xian
Xi'an Institute of Posts and Telecommunications

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
出版商	IEEE Computer Society
页	2498-2502
页数	5
ISBN（电子版）	9781509021758
DOI	https://doi.org/10.1109/ICIP.2017.8296732
出版状态	已出版 - 2 7月 2017
活动	24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, 中国期限: 17 9月 2017 → 20 9月 2017

丛书

姓名	Proceedings - International Conference on Image Processing, ICIP
卷	2017-September
ISSN（印刷版）	1522-4880

会议

会议	24th IEEE International Conference on Image Processing, ICIP 2017
国家/地区	中国
市	Beijing
时期	17/09/17 → 20/09/17

访问文件

10.1109/ICIP.2017.8296732

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引用此

Yang, K., Wan, S., Gong, Y., & Feng, Y. (2017). Content adaptive quantization parameter cascading for random-access structure in HEVC. 在 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (页码 2498-2502). (Proceedings - International Conference on Image Processing, ICIP; 卷 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",

month = jul,

day = "2",

doi = "10.1109/ICIP.2017.8296732",

language = "英语",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "2498--2502",

booktitle = "2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings",

}

Yang, K, Wan, S, Gong, Y & Feng, Y 2017, Content adaptive quantization parameter cascading for random-access structure in HEVC. 在 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. Proceedings - International Conference on Image Processing, ICIP, 卷 2017-September, IEEE Computer Society, 页码 2498-2502, 24th IEEE International Conference on Image Processing, ICIP 2017, Beijing, 中国, 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 等.
2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, 2017. 页码 2498-2502 (Proceedings - International Conference on Image Processing, ICIP; 卷 2017-September).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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

UR - https://www.scopus.com/pages/publications/85045350404

U2 - 10.1109/ICIP.2017.8296732

DO - 10.1109/ICIP.2017.8296732

M3 - 会议稿件

AN - SCOPUS:85045350404

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 2498

EP - 2502

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

PB - IEEE Computer Society

T2 - 24th IEEE International Conference on Image Processing, ICIP 2017

Y2 - 17 September 2017 through 20 September 2017

ER -

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

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