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 Lecture Notes in Computer Science, LNCS 4, pp. 31-40. (doi:10.1007/11788034_4).


[img] PDF JH_CIVR2006_Factorisation_Springer.pdf - Other
Download (3MB)


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
Digital Object Identifier (DOI): doi:10.1007/11788034_4
Additional Information: Event Dates: 13th-15th July 2006
ISSNs: 0302-9743 (print)
Venue - Dates: 5th International Conference on Image and Video Retrieval, United States, 2006-07-13 - 2006-07-15
Keywords: Image Annotation, Semantic Image Retrieval, SVD, Semantic Space
Organisations: Web & Internet Science
ePrint ID: 262870
Date :
Date Event
Date Deposited: 27 Jul 2006
Last Modified: 17 Apr 2017 21:35
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/262870

Actions (login required)

View Item View Item