Name
Abstract | ||
|---|---|---|
Standard video encoders developed for conventional narrow field-of-view video are widely applied to $360^{\circ }$360∘ video as well, with reasonable results. However, while this approach commits arbitrarily to a projection of the spherical frames, we observe that some orientations of a $360^{\circ }$360∘ video, once projected, are more compressible than others. We introduce an approach to predict... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TPAMI.2020.2974472 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Video compression,Streaming media,Standards,Image coding,Visualization,Compression algorithms,Encoding | Computer vision,Data compression ratio,Cube mapping,Convolutional neural network,Computer science,Encoder,Artificial intelligence,Rendering (computer graphics),Data compression,Codec,Encoding (memory) | Journal |
Volume | Issue | ISSN |
43 | 8 | 0162-8828 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Chuan Su | 1 | 87 | 14.90 |
| Kristen Grauman | 2 | 6258 | 326.34 |