- Title
- Enhanced colour image retrieval with cuboid segmentation
- Creator
- Murshed, Manzur; Karmakar, Priyabrata; Teng, Shyh; Lu, Guojun
- Date
- 2018
- Type
- Text; Conference proceedings; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/195020
- Identifier
- vital:18457
- Identifier
-
https://doi.org/10.1109/DICTA.2018.8615856
- Identifier
- ISBN:9781538666029 (ISBN)
- 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.; 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018; Canberra, Australia; 10th-13th December 2018
- Rights
- Copyright © 2018 IEEE.
- Subject
- Cuboid segmentation; Distance metric; Image retrieval
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Accepted version | 3 MB | Adobe Acrobat PDF | View Details Download | ||
| View Details Download | SOURCE2 | Enhanced Colour Image Retrieval with Cuboid Segmentation | 3 MB | Adobe Acrobat PDF | View Details Download |