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

On Image Retrieval using Salient Regions with Vector-Spaces and Latent Semantics
On Image Retrieval using Salient Regions with Vector-Spaces and Latent Semantics
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.
Image Retrieval, Vector Space, Latent Semantic, Salient Region
3-540-27858-3
0302-9743
540-549
Hare, Jonathon S.
65ba2cda-eaaf-4767-a325-cd845504e5a9
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Leow, Wee-Kheng
86f056d9-b5b0-480e-a4b0-c384e0f71a3f
Lew, Michael S.
1b9d625f-1d29-4c41-9279-7d0071234010
Chua, Tat-Seng
4803e955-b3b1-4fc6-803d-192cbb1c127a
Ma, Wei-Ying
ac4bcbbf-ec09-49cc-ae29-7d3e84efffe0
Chaisorn, Lekha
7c7f6d6d-da5d-4ce1-8acf-f715fe689456
Bakker, Erwin M.
06f28a7a-4c62-4dc2-9b42-30b15ce13717
Hare, Jonathon S.
65ba2cda-eaaf-4767-a325-cd845504e5a9
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Leow, Wee-Kheng
86f056d9-b5b0-480e-a4b0-c384e0f71a3f
Lew, Michael S.
1b9d625f-1d29-4c41-9279-7d0071234010
Chua, Tat-Seng
4803e955-b3b1-4fc6-803d-192cbb1c127a
Ma, Wei-Ying
ac4bcbbf-ec09-49cc-ae29-7d3e84efffe0
Chaisorn, Lekha
7c7f6d6d-da5d-4ce1-8acf-f715fe689456
Bakker, Erwin M.
06f28a7a-4c62-4dc2-9b42-30b15ce13717

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

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.

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More information

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

Identifiers

Local EPrints ID: 261095
URI: http://eprints.soton.ac.uk/id/eprint/261095
ISBN: 3-540-27858-3
ISSN: 0302-9743
PURE UUID: 5a22f65a-0dc8-4bf5-a840-c2ecf48e7070
ORCID for Jonathon S. Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

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

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Contributors

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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