Entropy 2019, 21(2), 165; https://doi.org/10.3390/e21020165
Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model
1
Department of Information Engineering, Shanghai Maritime University, NO.1550, Haigang Ave. Shanghai 201306, China
2
Department of Electrical and Electronics Engineering, Tokushima University, 2-24, Shinkura-cho, Tokushima 770-8501, Japan
*
Author to whom correspondence should be addressed.
Received: 20 January 2019 / Revised: 4 February 2019 / Accepted: 10 February 2019 / Published: 11 February 2019
(This article belongs to the Special Issue Application of Information Theory in Biomedical Data Mining)
Abstract
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. View Full-Text
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Jiang, X.; Song, T.; Zhu, D.; Katayama, T.; Wang, L. Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model. Entropy 2019, 21, 165.
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