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Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model.

Authors :
Jiang, Xiantao
Song, Tian
Zhu, Daqi
Katayama, Takafumi
Wang, Lu
Source :
Entropy. Feb2019, Vol. 21 Issue 2, p165. 1p.
Publication Year :
2019

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10994300
Volume :
21
Issue :
2
Database :
Academic Search Index
Journal :
Entropy
Publication Type :
Academic Journal
Accession number :
134935652
Full Text :
https://doi.org/10.3390/e21020165