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Semantic Retrieval and Automatic Annotation: Linear Transformations, Correlation and Semantic Spaces

Record type: Conference or Workshop Item (Other)

This paper proposes a new technique for auto-annotation and semantic retrieval based upon the idea of linearly mapping an image feature space to a keyword space. The new technique is compared to several related techniques, and a number of salient points about each of the techniques are discussed and contrasted. The paper also discusses how these techniques might actually scale to a real-world retrieval problem, and demonstrates this though a case study of a semantic retrieval technique being used on a real-world data-set (with a mix of annotated and unannotated images) from a picture library.

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Citation

Hare, Jonathan and Lewis, Paul (2010) Semantic Retrieval and Automatic Annotation: Linear Transformations, Correlation and Semantic Spaces At Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, United States. 17 - 21 Jan 2010.

More information

Published date: 21 January 2010
Additional Information: Event Dates: 17-21 Jan 2010
Venue - Dates: Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, United States, 2010-01-17 - 2010-01-21
Keywords: Semantic Image Retrieval, Automatic Annotation, Visual-terms, Evaluation, Correlation, Linear Transformation, Semantic spaces, Latent Semantic Analysis
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 268496
URI: http://eprints.soton.ac.uk/id/eprint/268496
ISBN: 9780819479334
PURE UUID: ce67b60e-77bc-4dd9-8d75-3adb1d164ec9
ORCID for Jonathan Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

Date deposited: 10 Feb 2010 20:38
Last modified: 18 Jul 2017 06:53

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Contributors

Author: Jonathan Hare ORCID iD
Author: Paul Lewis

University divisions


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