scholarly journals Improved Robust Video Saliency Detection Based on Long-Term Spatial-Temporal Information

2020 ◽  
Vol 29 ◽  
pp. 1090-1100 ◽  
Author(s):  
Chenglizhao Chen ◽  
Guotao Wang ◽  
Chong Peng ◽  
Xiaowei Zhang ◽  
Hong Qin
Keyword(s):  
Saliency Detection ◽  
Temporal Information ◽  
Video Saliency

Video saliency detection incorporating temporal information in compressed domain

2015 ◽  
Vol 38 ◽  
pp. 32-44 ◽  
Author(s):  
Qin Tu ◽  
Aidong Men ◽  
Zhuqing Jiang ◽  
Feng Ye ◽  
Jun Xu
Keyword(s):  
Saliency Detection ◽  
Temporal Information ◽  
Compressed Domain ◽  
Video Saliency

Improving Video Saliency Detection via Localized Estimation and Spatiotemporal Refinement

2018 ◽  
Vol 20 (11) ◽  
pp. 2993-3007 ◽  
Author(s):  
Xiaofei Zhou ◽  
Zhi Liu ◽  
Chen Gong ◽  
Wei Liu
Keyword(s):  
Saliency Detection ◽  
Video Saliency

Deep fusion based video saliency detection

2019 ◽  
Vol 62 ◽  
pp. 279-285 ◽  
Author(s):  
Hongfa Wen ◽  
Xiaofei Zhou ◽  
Yaoqi Sun ◽  
Jiyong Zhang ◽  
Chenggang Yan
Keyword(s):  
Saliency Detection ◽  
Video Saliency

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

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 165 ◽  
Author(s):  
Xiantao Jiang ◽  
Tian Song ◽  
Daqi Zhu ◽  
Takafumi Katayama ◽  
Lu Wang
Keyword(s):  
Video Coding ◽  
High Efficiency ◽  
Saliency Detection ◽  
Saliency Map ◽  
High Efficiency Video Coding ◽  
High Definition ◽  
Perceptual Coding ◽  
Coding Scheme ◽  
Saliency Model ◽  
Video Saliency

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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