Name
Abstract | ||
|---|---|---|
In this paper, we further investigate our recently proposed cuboid image segmentation algorithm for effective image retrieval. Instead of using all cuboids (i.e. segments), we have proposed two approaches to choose different subsets of cuboids appropriately. With the experimental results on eBay dataset, we have shown that our proposals outperform retrieval performance of the existing technique. In addition, we have investigated how many segments are required for the most effective image retrieval and provide a quick method to determine the suitable number of cuboids. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/DICTA.2018.8615856 | 2018 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA) |
Keywords | Field | DocType |
Cuboid segmentation, Image retrieval, Distance metric | Computer vision,Pattern recognition,Computer science,Segmentation,Metric (mathematics),Image retrieval,Artificial intelligence,Cuboid,Image segmentation algorithm,Colour image | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manzur Murshed | 1 | 969 | 80.94 |
| Priyabrata Karmakar | 2 | 2 | 2.07 |
| Shyh Wei Teng | 3 | 151 | 21.02 |
| Guojun Lu | 4 | 124 | 9.01 |