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Title: Joint optimization of transform and quantization for high efficiency video coding
Authors: Wang, MH
Xie, WY
Xiong, J
Wang, DY
Qin, J 
Issue Date: 2019
Source: IEEE access, 2019, v. 7, p. 62534-62544
Abstract: In high efficiency video coding (HEVC), transformation and quantization are separately performed to eliminate the perceptual redundancy of visual signals. However, a uniform quantizer can inevitably degrade the compression efficiency of fixed transform matrices due to varying space-frequency characteristics of video content. This paper introduces a joint optimization of transform and quantization approach for video coding. First, we compute a content dependent transform from the reconstructed reference by a fast Karhunen-Loeve transform (KLT). Second, using a template-based rate regularization, we jointly optimize transform and quantization (JOTQ) as a rate constrained optimization problem and obtain a feasible solution to improve coding performance. Finally, we design fast algorithms and early terminations to reduce the computational complexity of JOTQ. The experimental results show that JOTQ outperforms several previous methods by providing Bjontegaard Delta rate reductions of 4.11% and 3.38% on average under the low-delay and random-access configuration, respectively.
Keywords: Video coding
Content dependent transform
Block adaptive quantization
High efficiency video coding (HEVC)
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE access 
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2917260
Rights: © 2019 IEEE. Translations and content mining are permitted for academic research only.
Personal use is also permitted, but republication/redistribution requires IEEE permission. See for more information.
Post with permission of the publisher.
The following publication M. Wang, W. Xie, J. Xiong, D. Wang and J. Qin, "Joint Optimization of Transform and Quantization for High Efficiency Video Coding," in IEEE Access, vol. 7, pp. 62534-62544, 2019 is available at
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