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Rate Constrained Multiple-QP Optimization for HEVC
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DOI：10.1109/TMM.2019.2947351.png)
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Abstract
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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.
Keywords:
Optimization
Quantization (signal)
Encoding
High efficiency video coding
Complexity theory
Computational modeling
Multiple-QP optimization
block adaptive quantization
rate regulation
high efficiency video coding (HEVC)
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