ID | 115094 |
Author |
Jiang, Xiantao
Shanghai Maritime University
Song, Tian
Tokushima University
Tokushima University Educator and Researcher Directory
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Zhu, Daqi
Shanghai Maritime University
Katayama, Takafumi
Tokushima University
Tokushima University Educator and Researcher Directory
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Wang, Lu
Tokushima University
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Keywords | H.265/HEVC
perceptual video coding
video saliency model
bitrate reduction
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Content Type |
Journal Article
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Description | 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.
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Journal Title |
Entropy
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ISSN | 10994300
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Publisher | MDPI
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Volume | 21
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Issue | 2
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Start Page | 165
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Published Date | 2019-02-11
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Rights | © 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/).
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language |
eng
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departments |
Science and Technology
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