Bridging the semantic gap in multimedia information retrieval: top-down and bottom-up approaches

Hare, J.S., Sinclair, P.A.S., Lewis, P.H., Martinez, K., Enser, P.G.B. and Sandom, C.J. (2006) Bridging the semantic gap in multimedia information retrieval: top-down and bottom-up approaches In: Mastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference, 12 Jun 2006, Budva, Montenegro.

[img]
Preview
PDF
1037Kb

Abstract

Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways in which we are using both top-down, ontologically driven approaches and bottom-up, automatic-annotation approaches to provide retrieval facilities to users. We also discuss many of the current techniques that we are investigating to combine these top-down and bottom-up approaches.

Item Type:Contribution to conference proceedings in the public domain ( Full Paper)
Uncontrolled Keywords:Semantic representation; Image retrieval; annotation; ontologies; auto-annotation
Subjects:P000 Mass Communications and Documentation > P100 Information Services
Faculties:Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Visual Image Retrieval
ID Code:3344
Deposited By:Helen Webb
Deposited On:28 Nov 2007
Last Modified:17 Oct 2013 15:30

Repository Staff Only: item control page