A Linear-Algebraic Technique with an Application in Semantic Image Retrieval


Hare, Jonathon S., Lewis, Paul H., Enser, Peter G. B. and Sandom, Christine J., Sundaram, Hari, Naphade, Milind, Smith, John R. and Rui, Yong (eds.) (2006) A Linear-Algebraic Technique with an Application in Semantic Image Retrieval. Image and Video Retrieval: 5th International Conference, CIVR 2006, Tempe, AZ, USA, July 2006, LNCS 4, 31-40.

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Description/Abstract

This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval technique known as cross-language latent semantic indexing uses linear algebra to learn the semantic structure linking image features and keywords from a training set of annotated images. This structure can then be applied to unannotated images, thus providing the ability to search the unannotated images based on keyword. This factorisation approach is shown to perform well, even when using only simple global image features.

Item Type: Article
Additional Information: Event Dates: 13th-15th July 2006
ISBNs: 3540360182
ISSNs: 0302-9743
Related URLs:
Keywords: Image Annotation, Semantic Image Retrieval, SVD, Semantic Space
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 262870
Date Deposited: 27 Jul 2006
Last Modified: 27 Mar 2014 20:06
Publisher: Springer-Verlag Heidelberg
Further Information:Google Scholar
ISI Citation Count:5
URI: http://eprints.soton.ac.uk/id/eprint/262870

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