Name
Abstract | ||
|---|---|---|
In the past few years, automatically generating descriptions for images has attracted a lot of attention in computer vision and natural language processing research. Among the existing approaches, data-driven methods have been proven to be highly effective. These methods compare the given image against a large set of training images to determine a set of relevant images, then generate a descriptio... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-cvi.2016.0286 | IET Computer Vision |
Keywords | Field | DocType |
feature extraction,image representation,image retrieval,pattern clustering,text analysis,visual databases | Closed captioning,Data-driven,Image representation,Phrase,Speech recognition,Cluster analysis,Sentence generation,Mathematics,Salient | Journal |
Volume | Issue | ISSN |
11 | 6 | 1751-9632 |
Citations | PageRank | References |
0 | 0.34 | 35 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mert Kilickaya | 1 | 2 | 2.72 |
| Burak Kerim Akkus | 2 | 0 | 0.34 |
| Ruket Çakici | 3 | 80 | 4.49 |
| Aykut Erdem | 4 | 573 | 33.23 |
| Erkut Erdem | 5 | 573 | 33.86 |
| Nazli Ikizler-Cinbis | 6 | 476 | 29.07 |