Name
Title | ||
|---|---|---|
Optimisation of automatic face annotation system used within a collaborative framework for online social networks. |
Abstract | ||
|---|---|---|
Recently, the development of automatic face annotation techniques in online social networks has become a promising research area for the purpose of management of the large numbers of photographs uploaded to social network platforms. In this study, the authors first construct the personalised pyramid database units for each member in the pyramid database access control module by effectively making ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-cvi.2015.0171 | IET Computer Vision |
Keywords | Field | DocType |
face recognition,Internet,learning (artificial intelligence),social networking (online) | Computer vision,Database access,Facial recognition system,Social network,Annotation,Computer science,Upload,Execution time,Pyramid,Artificial intelligence,Classifier (linguistics),Machine learning | Journal |
Volume | Issue | ISSN |
10 | 5 | 1751-9632 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shih-Chia Huang | 1 | 657 | 42.31 |
| Ming-Kai Jiau | 2 | 83 | 6.89 |
| Yu-Hsiang Jian | 3 | 0 | 0.68 |