Name
Abstract | ||
|---|---|---|
In this paper, a perceptual multiview video coding scheme is proposed, based on the synthesized Just Noticeable Distortion (JND) maps. In JND-based perceptual video coding, the residues after intra or inter prediction are tuned according to the corresponding JND thresholds to save the bits without affecting the perceptual quality. In our scheme, to reduce the computational cost of generating the multiview JND maps, only the JND maps of some anchor views are calculated directly. These maps are then used to synthesize the JND maps of other views via the block-based Depth Image Based Rendering (DIBR) method, which can be more than 30 times faster than direct computation with reasonable error. Experimental results show that the proposed scheme can improve the perceptual performance of the JMVC by more than 1 dB in terms of the Peak Signal Perceptual Noise Ratio (PSPNR). |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISCAS.2011.5938025 | ISCAS |
Keywords | Field | DocType |
jnd maps,perceptual quality,jmvc,distortion,perceptual multiview video coding,depth image based rendering,rendering (computer graphics),just noticeable distortion,video coding,peak signal perceptual noise ratio,jnd,encoding,pixel,multiview video coding | Computer vision,Computer science,Multiview Video Coding,Coding (social sciences),Pixel,Artificial intelligence,Image-based modeling and rendering,Perception,Distortion,Computation,Encoding (memory) | Conference |
ISSN | ISBN | Citations |
0271-4302 E-ISBN : 978-1-4244-9472-9 | 978-1-4244-9472-9 | 2 |
PageRank | References | Authors |
0.38 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Gao | 1 | 7 | 1.83 |
| Xiaoyu Xiu | 2 | 94 | 12.99 |
| Jie Liang | 3 | 707 | 80.89 |
| Weisi Lin | 4 | 5366 | 280.14 |