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Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model Jiang, Xiantao 10380130 宋, 天 ソウ, テン Song, Tian 宋 ソウ Song 天 テン Tian Zhu, Daqi 70848522 片山, 貴文 カタヤマ, タカフミ Katayama, Takafumi 片山 カタヤマ Katayama 貴文 タカフミ Takafumi Wang, Lu open access © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). H.265/HEVC perceptual video coding video saliency model bitrate reduction Perceptual video coding (PVC) can provide a lower bitrate with the same visual quality compared with traditional H.265/high efficiency video coding (HEVC). In this work, a novel H.265/HEVC-compliant PVC framework is proposed based on the video saliency model. Firstly, both an effective and efficient spatiotemporal saliency model is used to generate a video saliency map. Secondly, a perceptual coding scheme is developed based on the saliency map. A saliency-based quantization control algorithm is proposed to reduce the bitrate. Finally, the simulation results demonstrate that the proposed perceptual coding scheme shows its superiority in objective and subjective tests, achieving up to a 9.46% bitrate reduction with negligible subjective and objective quality loss. The advantage of the proposed method is the high quality adapted for a high-definition video application. MDPI 2019-02-11 eng journal article VoR 349467 https://tokushima-u.repo.nii.ac.jp/records/2008035 https://doi.org/10.3390/e21020165 10.3390/e21020165 10994300 Entropy 21 2 165 https://tokushima-u.repo.nii.ac.jp/record/2008035/files/entropy_21_2_165.pdf application/pdf 1.16 MB 2020-12-18