TY - JOUR
T1 - Rate Constrained Multiple-QP Optimization for HEVC
AU - Wang, Miaohui
AU - Xiong, Jian
AU - Xu, Long
AU - Xie, Wuyuan
AU - Ngan, King Ngi
AU - Qin, Jing
N1 - Funding Information:
Manuscript received May 5, 2019; revised August 7, 2019; accepted October 10, 2019. Date of publication October 14, 2019; date of current version May 21, 2020. This work was supported in part by the National Natural Science Foundation of China under Grant 61701310, Grant 61902251, Grant 61572461, and Grant 11790305, in part by Free Exploration Project for Basic Research of Shen-zhen City JCYJ20180305124209486 and JCYJ20180305124325555, in part by the Natural Science Foundation of SZU 2018080, and in part by the Innovation and Technology Fund of Hong Kong under Project ITS/319/17, and in part by the Natural Science Foundation of Guangdong under Grant 2019A1515010961. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Manoranjan Paul. (Corresponding author: Wuyuan Xie.) M. Wang is with the Guangdong Key Laboratory of Intelligent Information Processing, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen Institute of Artificial Intelligence and Robotics for Society, and College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, China (e-mail: [email protected]).
Publisher Copyright:
© 1999-2012 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - In High Efficiency Video Coding (HEVC), multiple-QP (quantization parameter) optimization can adapt to a local video content. However, the multiple-QP implementation in the HEVC reference software (HM 16.6) achieves the best QP value for each coding block with a large amount of computational complexity. To address this challenge, we propose a fast rate-constrained multiple-QP optimization approach for the HM platform. We first introduce a template-based transform coefficient selection method which can save the overall complexity of entropy coding. In addition, we model the multiple-QP determination as a new rate-constrained optimization problem, and finally, we get a feasible solution with a lower computation overhead. Experimental results show that our method dramatically reduces the average complexity under the all-intra, low-delay and random-access configuration.
AB - In High Efficiency Video Coding (HEVC), multiple-QP (quantization parameter) optimization can adapt to a local video content. However, the multiple-QP implementation in the HEVC reference software (HM 16.6) achieves the best QP value for each coding block with a large amount of computational complexity. To address this challenge, we propose a fast rate-constrained multiple-QP optimization approach for the HM platform. We first introduce a template-based transform coefficient selection method which can save the overall complexity of entropy coding. In addition, we model the multiple-QP determination as a new rate-constrained optimization problem, and finally, we get a feasible solution with a lower computation overhead. Experimental results show that our method dramatically reduces the average complexity under the all-intra, low-delay and random-access configuration.
KW - block adaptive quantization
KW - high efficiency video coding (HEVC)
KW - Multiple-QP optimization
KW - rate regulation
UR - http://www.scopus.com/inward/record.url?scp=85085602871&partnerID=8YFLogxK
U2 - 10.1109/TMM.2019.2947351
DO - 10.1109/TMM.2019.2947351
M3 - Journal article
AN - SCOPUS:85085602871
SN - 1520-9210
VL - 22
SP - 1395
EP - 1406
JO - IEEE Transactions on Multimedia
JF - IEEE Transactions on Multimedia
IS - 6
M1 - 8868203
ER -