Name
Abstract | ||
|---|---|---|
With the explosion in the use of cameras in mobile phones or video surveillance systems, it is impossible to transmit a large amount of videos captured from a wide area into a cloud for big data analysis and retrieval. Instead, a feasible solution is to extract and compress features from videos and then transmit the compact features to the cloud. Meanwhile, many recent studies also indicate that t... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TIP.2017.2745203 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Videos,Image coding,Feature extraction,Encoding,Optical fibers,Surveillance,Optimization | Computer vision,Visual Objects,Pattern recognition,Computer science,Convolutional neural network,Feature extraction,Coding (social sciences),Inter frame,Artificial intelligence,Big data,Encoding (memory),Uncompressed video | Journal |
Volume | Issue | ISSN |
26 | 12 | 1057-7149 |
Citations | PageRank | References |
2 | 0.41 | 22 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Ding | 1 | 3 | 1.43 |
| Yonghong Tian | 2 | 1057 | 102.81 |
| Hongfei Fan | 3 | 49 | 12.33 |
| Yaowei Wang | 4 | 134 | 29.62 |
| Tiejun Huang | 5 | 1281 | 120.48 |