Name
Title | ||
|---|---|---|
Spatiotemporal Generative Adversarial Network-Based Dynamic Texture Synthesis for Surveillance Video Coding |
Abstract | ||
|---|---|---|
Dynamic texture refers to the content in video sequences that is characterized by spatial repetition and temporal variation, such as swaying foliage and flowing water. It is a great challenge to compress the dynamic textures efficiently in the current prediction/transform hybrid video coding framework. However, these textures have little information for machine vision, and human visual perception ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3061153 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Video coding,Surveillance,Dynamics,Spatiotemporal phenomena,Heuristic algorithms,Encoding,Generative adversarial networks | Journal | 32 |
Issue | ISSN | Citations |
1 | 1051-8215 | 2 |
PageRank | References | Authors |
0.36 | 26 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kun Yang | 1 | 47 | 12.60 |
| Dong Liu | 2 | 721 | 74.92 |
| Zhibo Chen | 3 | 270 | 44.69 |
| Feng Wu | 4 | 3635 | 295.09 |
| Weiping Li | 5 | 69 | 10.79 |