View synthesis distortion elimination filter for depth video coding in 3D video broadcasting
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| 008 | 210128e20150801xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-014-1898-1 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-014-1898-1 | ||
| 245 | 0 | 0 | |a View synthesis distortion elimination filter for depth video coding in 3D video broadcasting |h [Elektronische Daten] |c [Linwei Zhu, Yun Zhang, Xu Wang, Sam Kwong] |
| 520 | 3 | |a Depth image based rendering (DIBR), which can generate synthesized images according to the users' demand, is a key technique for achieving 3D television. However, view synthesis by DIBR technique is very sensitive to depth coding distortion. Because depth distortion will lead to geometrical rendering position errors, and seriously affect the quality of synthesized images. In this paper, we propose an in-loop filter to minimize view synthesis distortion at the cost of transmitting extra filter parameters as supplementary information. And an adaptive parameter determination scheme is presented for the proposed filter. Then a good trade-off between bit rate and view synthesis distortion has been achieved by considering the spatial-temporal correlations of 3D video sequence. The simulation results reveal that the proposed view synthesis distortion elimination method can significantly improve the rate-distortion performance, which achieves Bjontegaard Delta Peak Signal-to-Noise Ratio (BDPSNR) gain from 0.41 to 1.09dB compared with the benchmark. | |
| 540 | |a Springer Science+Business Media New York, 2014 | ||
| 690 | 7 | |a 3D video |2 nationallicence | |
| 690 | 7 | |a View synthesis |2 nationallicence | |
| 690 | 7 | |a Depth image based rendering |2 nationallicence | |
| 690 | 7 | |a Depth video coding |2 nationallicence | |
| 700 | 1 | |a Zhu |D Linwei |u Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |4 aut | |
| 700 | 1 | |a Zhang |D Yun |u Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |4 aut | |
| 700 | 1 | |a Wang |D Xu |u Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong |4 aut | |
| 700 | 1 | |a Kwong |D Sam |u Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 5935-5954 |x 1380-7501 |q 74:15<5935 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-014-1898-1 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-014-1898-1 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhu |D Linwei |u Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhang |D Yun |u Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Xu |u Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Kwong |D Sam |u Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/15(2015-08-01), 5935-5954 |x 1380-7501 |q 74:15<5935 |1 2015 |2 74 |o 11042 | ||