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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 Lecture Notes in Computer Science, LNCS 3, pp. 540-549.

Record type: Article


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.

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Published date: 2005
Additional Information: Event Dates: 20-22 July 2005
Venue - Dates: 4th International Conference on Image and Video Retrieval 2005, Singapore, 2005-07-20 - 2005-07-22
Keywords: Image Retrieval, Vector Space, Latent Semantic, Salient Region
Organisations: Web & Internet Science


Local EPrints ID: 261095
ISBN: 3-540-27858-3
ISSN: 0302-9743
PURE UUID: 5a22f65a-0dc8-4bf5-a840-c2ecf48e7070
ORCID for Jonathon S. Hare: ORCID iD

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Date deposited: 27 Jul 2005
Last modified: 18 Jul 2017 09:05

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Author: Paul H. Lewis
Editor: Wee-Kheng Leow
Editor: Michael S. Lew
Editor: Tat-Seng Chua
Editor: Wei-Ying Ma
Editor: Lekha Chaisorn
Editor: Erwin M. Bakker

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