Name
Abstract | ||
|---|---|---|
This paper shows that motion vectors representing the true motion of an object in a scene can be exploited to improve the encoding process of computer generated video sequences. Therefore, a set of sequences is presented for which the true motion vectors of the corresponding objects were generated on a per-pixel basis during the rendering process. In addition to conventional motion estimation methods, it is proposed to exploit the computer generated motion vectors to enhance the rate-distortion performance. To this end, a motion vector mapping method including disocclusion handling is presented. It is shown that mean rate savings of 3.78% can be achieved. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ISM.2018.00063 | 2018 IEEE International Symposium on Multimedia (ISM) |
Keywords | Field | DocType |
motion information,encoding process,rendering process,conventional motion estimation methods,HEVC encoding,rendered video data,motion vector mapping method,disocclusion handling,computer generated video sequences,rate-distortion performance | Computer vision,Pattern recognition,Computer science,Visualization,Exploit,Artificial intelligence,Motion estimation,Rendering (computer graphics),Distortion,Encoding (memory),Motion vector | Conference |
ISBN | Citations | PageRank |
978-1-5386-6858-0 | 0 | 0.34 |
References | Authors | |
6 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Herglotz | 1 | 20 | 9.45 |
| David Muller | 2 | 0 | 0.34 |
| Andreas Weinlich | 3 | 7 | 2.29 |
| Frank Bauer | 4 | 8 | 4.83 |
| Michael Ortner | 5 | 0 | 0.34 |
| Marc Stamminger | 6 | 1465 | 112.74 |
| André Kaup | 7 | 861 | 127.24 |