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Enhanced Colour Image Retrieval with Cuboid Segmentation

conference contribution
posted on 2022-11-25, 02:32 authored by M Murshed, P Karmakar, SW Teng, G Lu
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.

History

Location

Canberra, ACT

Start date

2018-12-10

End date

2018-12-13

ISBN-13

9781538666029

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018

Event

2018 Digital Image Computing: Techniques and Applications (DICTA)

Publisher

IEEE

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