Hare, J.S., Lewis, P.H., Enser, P.G.B. and Sandom, C.J. (2006) A linear-algebraic technique with an application in semantic image retrieval In: Image and video retrieval: 5th international conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006.Full text not available from this repository.
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:||Contribution to conference proceedings in the public domain ( Full Paper)|
|Uncontrolled Keywords:||Visual image retrieval; semantics|
|Subjects:||P000 Mass Communications and Documentation > P100 Information Services|
|DOI (a stable link to the resource):||10.1007/11788034_4|
|Faculties:||Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Visual Image Retrieval|
|Depositing User:||Helen Webb|
|Date Deposited:||28 Nov 2007|
|Last Modified:||09 May 2014 09:36|
Actions (login required)
Downloads per month over past year