Rate Constrained Multiple-QP Optimization for HEVC

Miaohui Wang, Jian Xiong, Long Xu, Wuyuan Xie, King Ngi Ngan, Jing Qin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Article number8868203
Pages (from-to)1395-1406
Number of pages12
JournalIEEE Transactions on Multimedia
Issue number6
Publication statusPublished - Jun 2020


  • block adaptive quantization
  • high efficiency video coding (HEVC)
  • Multiple-QP optimization
  • rate regulation

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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