TitlePerceptual Quality Consistency Oriented CTU Level Rate Control for HEVC Intra Coding
AuthorsXiang, Guoqing
Zhang, Xinfeng
Huang, Xiaofeng
Yang, Fan
Zhu, Chuang
Jia, Huizhu
Xie, Xiaodong
AffiliationPeking Univ, Adv Inst Informat Technol, Hangzhou 311215, Peoples R China
Peking Univ, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China
Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China
Hangzhou Dianzi Univ, Sch Commun Engn, Hangzhou 310018, Peoples R China
Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
KeywordsRATE CONTROL ALGORITHM
RATE CONTROL SCHEME
OPTIMAL BIT ALLOCATION
DELAY RATE CONTROL
FRAME RATE CONTROL
VIDEO
OPTIMIZATION
MODEL
CODER
Issue DateOct-2021
PublisherIEEE TRANSACTIONS ON BROADCASTING
AbstractRate control is an important technique for practical video coding applications by allocating suitable quantization parameters (QPs) for CTUs or frames to satisfy bandwidth requirement. However, rate control may result in video quality fluctuation because neighboring regions are quantized into different quality levels, which may affect viewing experience seriously, especially at low bitrate scenarios. In this paper, we propose a novel CTU (Coding Tree Unit) level rate control approach for intra frame of the high efficiency video coding (HEVC) standard with consistent perceptual quality. In particular, a new perceptual hyperbolic rate distortion (R-D) optimization method is proposed for rate control with the constraint of constant perceptual quality, which shows good compatibility with other R-D models. Herein, a novel CTU level perceptual distortion model is presented to achieve the optimal rate control of intra frames for HEVC, where the Lagrange multiplier is adjusted by taking advantage of the different perceptual characteristics to achieve the minimal perceptual distortion variation across CTUs within one frame. Extensive experiments prove that the proposed algorithm outperforms the state-of-the-art CTU level rate control methods by considering R-D performance. In addition, subjective simulation results demonstrate that our algorithm further improves the visual quality of compressed videos by reducing perceptual quality fluctuation.
URIhttp://hdl.handle.net/20.500.11897/632895
ISSN0018-9316
DOI10.1109/TBC.2021.3120916
IndexedEI
SCI(E)
Appears in Collections:信息科学技术学院

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