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Object-based semi-automatic tool for content retrieval

S. Ghanbari, and J. C. Woods, and S. M. Lucas, (2010) 'Object-based semi-automatic tool for content retrieval.' Electronics Letters, 46 (1). pp. 44-46. ISSN 0013-5194

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Abstract

The essence of a content-based retrieval system is to find images that are semantically related to the user's query from a database. Humans are much better than computers at extracting semantic information from images, being able to segment individual objects subconsciously. The availability of a pool of pre-segmented objects found using region analysis allows the human behaviour to be replicated. A semi-automatic tool for a region-based image retrieval system is presented.

Item Type: Article
Additional Information: The essence of a content-based retrieval system is to find images that are semantically related to the user's query from a database. Humans are much better than computers at extracting semantic information from images, being able to segment individual objects subconsciously. The availability of a pool of pre-segmented objects found using region analysis allows the human behaviour to be replicated. A semi-automatic tool for a region-based image retrieval system is presented.
Uncontrolled Keywords: content-based retrieval; image retrieval; content retrieval; content-based retrieval system; object-based semiautomatic tool; presegmented objects; region analysis; semantic information
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 19 Oct 2012 11:34
Last Modified: 15 Jan 2022 00:32
URI: http://repository.essex.ac.uk/id/eprint/4057

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