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

J.S. Hare, P.A.S. Sinclair, P.H. Lewis, K. Martinez, P.G.B. Enser, C.J. Sandom

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

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.
Original languageEnglish
Title of host publicationMastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference
EditorsP. Bouquet, R. Brunelli, J.P. Chanod, C. Niederee, H. Stoermer
Publication statusPublished - 2006
EventMastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference - Budva, Montenegro
Duration: 1 Jan 2006 → …

Conference

ConferenceMastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference
Period1/01/06 → …

Keywords

  • Semantic representation
  • Image retrieval
  • annotation
  • ontologies
  • auto-annotation

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