Content-based image retrieval using a mobile device as a novel interface
Content-based image retrieval using a mobile device as a novel interface
This paper presents an investigation into the use of a mobile device as a novel interface to a content-based image retrieval system. The initial development has been based on the concept of using the mobile device in an art gallery for mining data about the exhibits, although a number of other applications are envisaged. The paper presents a novel methodology for performing content-based image retrieval and object recognition from query images that have been degraded by noise and subjected to transformations through the imaging system. The methodology uses techniques inspired from the information retrieval community in order to aid efficient indexing and retrieval. In particular, a vector-space model is used in the efficient indexing of each image, and a two-stage pruning/ranking procedure is used to determine the correct matching image. The retrieval algorithm is shown to outperform a number of existing algorithms when used with query images from the mobile device.
content-based image retrieval, mobile device, vector-space
0-8194-5655-1
64-75
Hare, Jonathon S.
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Lewis, Paul H.
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Lienhart, Rainer W.
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Babaguchi, Noburu
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Chang, Edward Y.
501f4ac0-b61c-4be5-b8c0-ed0bfedb5958
2005
Hare, Jonathon S.
65ba2cda-eaaf-4767-a325-cd845504e5a9
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Lienhart, Rainer W.
c7a08e51-b310-4d61-b083-9768f7884c29
Babaguchi, Noburu
c119f7f2-2e38-42bd-a49d-790a0b4d967c
Chang, Edward Y.
501f4ac0-b61c-4be5-b8c0-ed0bfedb5958
Hare, Jonathon S. and Lewis, Paul H.
(2005)
Content-based image retrieval using a mobile device as a novel interface.
Lienhart, Rainer W., Babaguchi, Noburu and Chang, Edward Y.
(eds.)
Storage and Retrieval Methods and Applications for Multimedia 2005, San Jose, California, United States.
16 - 20 Jan 2005.
.
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Conference or Workshop Item
(Paper)
Abstract
This paper presents an investigation into the use of a mobile device as a novel interface to a content-based image retrieval system. The initial development has been based on the concept of using the mobile device in an art gallery for mining data about the exhibits, although a number of other applications are envisaged. The paper presents a novel methodology for performing content-based image retrieval and object recognition from query images that have been degraded by noise and subjected to transformations through the imaging system. The methodology uses techniques inspired from the information retrieval community in order to aid efficient indexing and retrieval. In particular, a vector-space model is used in the efficient indexing of each image, and a two-stage pruning/ranking procedure is used to determine the correct matching image. The retrieval algorithm is shown to outperform a number of existing algorithms when used with query images from the mobile device.
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Published date: 2005
Additional Information:
Event Dates: 18-19 January 2005
Venue - Dates:
Storage and Retrieval Methods and Applications for Multimedia 2005, San Jose, California, United States, 2005-01-16 - 2005-01-20
Keywords:
content-based image retrieval, mobile device, vector-space
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 260419
URI: http://eprints.soton.ac.uk/id/eprint/260419
ISBN: 0-8194-5655-1
PURE UUID: 86b2b596-e24a-4a6f-818d-c07128bea549
Catalogue record
Date deposited: 31 Jan 2005
Last modified: 15 Mar 2024 03:25
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Contributors
Author:
Jonathon S. Hare
Author:
Paul H. Lewis
Editor:
Rainer W. Lienhart
Editor:
Noburu Babaguchi
Editor:
Edward Y. Chang
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