An improved video coding scheme for depth map sequences based on compressed sensing

2011 ◽  
Author(s):  
Jizhong Duan ◽  
Liyi Zhang ◽  
Yu Liu ◽  
Rong Pan ◽  
Yunshan Sun
Keyword(s):  
Compressed Sensing ◽  
Video Coding ◽  
Depth Map ◽  
Coding Scheme

Improved MPEG-2 video coding scheme based on compressed sensing

2013 ◽  
Vol 32 (12) ◽  
pp. 3411-3414
Author(s):  
Ji-zhong DUAN ◽  
Li-yi ZHANG ◽  
Yu LIU ◽  
Yun-shan SUN
Keyword(s):  
Compressed Sensing ◽  
Video Coding ◽  
Coding Scheme

Application of D-KSVD in compressed sensing based video coding

Optik ◽  
2021 ◽  
Vol 226 ◽  
pp. 165917
Author(s):  
Hao-quan Wang ◽  
Qian-nan Tang ◽  
Ya-hui Wang ◽  
Shi-lei Ren
Keyword(s):  
Compressed Sensing ◽  
Video Coding

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.

Fast 3D-HEVC PU size decision algorithm for depth map intra-video coding

2019 ◽  
Vol 17 (5) ◽  
pp. 1285-1299 ◽  
Author(s):  
Hamza Hamout ◽  
Abderrahmane Elyousfi
Keyword(s):  
Video Coding ◽  
Depth Map ◽  
Decision Algorithm
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