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

Author(s):  
Jizhong Duan ◽  
Liyi Zhang ◽  
Yu Liu ◽  
Rong Pan ◽  
Yunshan Sun
2013 ◽  
Vol 32 (12) ◽  
pp. 3411-3414
Author(s):  
Ji-zhong DUAN ◽  
Li-yi ZHANG ◽  
Yu LIU ◽  
Yun-shan SUN

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

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 165 ◽  
Author(s):  
Xiantao Jiang ◽  
Tian Song ◽  
Daqi Zhu ◽  
Takafumi Katayama ◽  
Lu Wang

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.


2019 ◽  
Vol 17 (5) ◽  
pp. 1285-1299 ◽  
Author(s):  
Hamza Hamout ◽  
Abderrahmane Elyousfi

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