Name
Abstract | ||
|---|---|---|
The demand for 3D content has increased over the last years as 3D displays are now widespread. View synthesis methods, such as depth-image-based-rendering, provide an efficient tool in 3D content creation or transmission, and are integrated in coding solutions for multiview video content such as 3D-HEVC. In this paper, we propose a view synthesis method that takes advantage of temporal and inter-view correlations in multiview video sequences. We use warped motion vector fields computed in reference views to obtain temporal predictions of a frame in a synthesized view and blend them with depth-image-based-rendering synthesis. Our method is shown to bring gains of 0.42dB in average when tested on several multiview sequences. |
Year | Venue | Field |
|---|---|---|
2016 | ICASSP | Computer vision,Computer graphics (images),Computer science,Stereo display,Multiview Video Coding,Coding (social sciences),View synthesis,Content creation,Artificial intelligence,Motion vector |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrei I. Purica | 1 | 26 | 3.19 |
| Marco Cagnazzo | 2 | 294 | 34.45 |
| Béatrice Pesquet-Popescu | 3 | 876 | 91.43 |
| Frederic Dufaux | 4 | 522 | 36.32 |
| Bogdan Ionescu | 5 | 458 | 56.67 |