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A novel adaptive quantization method for video coding

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Abstract

In this paper, we propose a novel AQ (Adaptive Quantization) algorithm to improve the subjective coding performance. Firstly, the factors affecting a suitable adaptive quantization method are carefully analyzed. Two important conclusions are drawn to guide designing a suitable AQ method. Secondly, based on the drawn analysis, a novel SATD (Sum of the Transformed Difference) based temporal adaptive quantization method is proposed. The proposed method fully considers the temporal characteristics, which can produce more visual-friendly QP (quantization parameter) offset distribution. Experiments are performed on x264 and HM16.0, respectively. With SSIM (Structure Similarity) as the metric, more than 21.07% BD-Rate (Bjontegaard-Delta Rate) saving can be achieved on x264, and on HM16.0, 8.07% and 7.99% BD-Rate savings can be obtained for LDP (Low-Delay-main-P) and LDB (Low-Delay-main-B) configurations, respectively, which is better than the state-of-the-art methods.

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Acknowledgments

This work is partially supported by the National High Technology Research and Development Program of China (863 Program) under contract No.2015AA015903, the National Science Foundation of China (61421062, 61502013), the Major National Scientific Instrument and Equipment Development Project of China under contract No. 2013YQ030967.

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Authors and Affiliations

  1. National Engineering Laboratory for Video Technology, Peking University, Beijing, 100871, China

    Guoqing Xiang, Huizhu Jia, Yuan Li & Xiaodong Xie

  2. Cooperative Medianet Innovation Center, Beijing, China

    Huizhu Jia

  3. Beida (Binhai) Information Research, Tianjin, China

    Huizhu Jia

  4. Beijing BOYA-HUALU Technology Inc., Beijing, 100080, China

    Mingyuan Yang

Authors
  1. Guoqing Xiang
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  2. Huizhu Jia
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  3. Mingyuan Yang
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  4. Yuan Li
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  5. Xiaodong Xie
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Correspondence to Huizhu Jia.

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Xiang, G., Jia, H., Yang, M. et al. A novel adaptive quantization method for video coding. Multimed Tools Appl 77, 14817–14840 (2018). https://doi.org/10.1007/s11042-017-5064-4

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  • DOI: https://doi.org/10.1007/s11042-017-5064-4

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