On Image Retrieval using Salient Regions with Vector-Spaces and Latent Semantics


Hare, Jonathon S. and Lewis, Paul H., Leow, Wee-Kheng, Lew, Michael S., Chua, Tat-Seng, Ma, Wei-Ying, Chaisorn, Lekha and Bakker, Erwin M. (eds.) (2005) On Image Retrieval using Salient Regions with Vector-Spaces and Latent Semantics. Image and Video Retrieval: 4th International Conference, CIVR 2005, Singapore, July 2005, LNCS 3, 540-549.

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Description/Abstract

The vector-space retrieval model and Latent Semantic Indexing approaches to retrieval have been used heavily in the field of text information retrieval over the past years. The use of these approaches in image retrieval, however, has been somewhat limited. In this paper, we present methods for using these techniques in combination with an invariant image representation based on local descriptors of salient regions. The paper also presents an evaluation in which the two techniques are used to find images with similar semantic labels.

Item Type: Article
Additional Information: Event Dates: 20-22 July 2005
ISBNs: 3540278583
ISSNs: 0302-9743
Keywords: Image Retrieval, Vector Space, Latent Semantic, Salient Region
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
Item ID: 261095
Date Deposited: 27 Jul 2005
Last Modified: 02 Mar 2012 12:20
Contributors: Hare, Jonathon S. (Author)
Lewis, Paul H. (Author)
Leow, Wee-Kheng (Editor)
Lew, Michael S. (Editor)
Chua, Tat-Seng (Editor)
Ma, Wei-Ying (Editor)
Chaisorn, Lekha (Editor)
Bakker, Erwin M. (Editor)
Date: 2005
Additional Information: Event Dates: 20-22 July 2005
Status: Published
Publisher: Springer-Verlag Heidelberg
Further Information:Google Scholar
ISI Citation Count:5
URI: http://eprints.soton.ac.uk/id/eprint/261095

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