Janez Demšar and Dragan Radolović and Franc Solina (1999) Image retrieval system based on machine learning and using color features. In: Computer Analysis of Images and Patterns CAIP, September 1999, Ljubljana.
Abstract
We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images with one of five possible grades (YES, yes, neutral, no, NO) according to what he is looking for. The system returns the first 15 images with the highest probability of YES grade. The attributes used are a combination of color features. Three different machine learning techniques are compared.
| Item Type: | Conference or Workshop Item (Paper) |
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| Keywords: | content based image retrieval, machine learning, color features |
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| Language of Content: | English |
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| Related URLs: | |
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| Institution: | University of Ljubljana |
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| Department: | Faculty of Computer and Information Science |
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| Divisions: | Faculty of Computer and Information Science > Computer Vision Laboratory |
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| Item ID: | 167 |
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| Date Deposited: | 18 Mar 2005 |
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| Last Modified: | 12 Dec 2013 15:00 |
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| URI: | http://eprints.fri.uni-lj.si/id/eprint/167 |
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