Name
Abstract | ||
|---|---|---|
High-efficiency compression of visual feature descriptors has recently emerged as an active topic due to the rapidly increasing demand in mobile visual retrieval over bandwidth-limited networks. However, transmitting only those feature descriptors may largely restrict its application scale due to the lack of necessary visual content. To facilitate the wide spread of feature descriptors, a hybrid f... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIP.2016.2629447 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Visualization,Image coding,Feature extraction,Video coding,Encoding,Servers,Streaming media | Computer vision,Algorithmic efficiency,Pattern recognition,Visualization,Computer science,Feature (computer vision),Coding (social sciences),Feature extraction,Artificial intelligence,Data compression,Feature data,Visual Word | Journal |
Volume | Issue | ISSN |
26 | 2 | 1057-7149 |
Citations | PageRank | References |
7 | 0.47 | 39 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Zhang | 1 | 88 | 12.61 |
| Siwei Ma | 2 | 2229 | 203.42 |
| Shiqi Wang | 3 | 1281 | 120.37 |
| Zhang X | 4 | 250 | 34.16 |
| Huifang Sun | 5 | 228 | 21.96 |
| Wen Gao | 6 | 11374 | 741.77 |