reSearch: enhancing information retrieval with images

Martin Hugh Goodfellow, Ela Hunt, Daniel McCafferty

Research output: Contribution to conferencePaper

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Abstract

Combining image and text search is an open research question. The main issues are what technologies to base this solution on, and what measures of relevance to employ. Our reSearch prototype mashes up papers indexed using information retrieval techniques (Terrier) with Google image search for faces and Google book search. The user can interactively employ query expansion with additional terms suggested by Terrier, and use those terms to expand both the text and image search. We test this solution with a selection of recent publications and queries concerning people engaged in research. We report on the effectiveness of this solution. It seems that the combination works to a large extent, as testified by our observations.
Original languageEnglish
Pages1-6
Number of pages6
Publication statusUnpublished - 10 May 2009
EventTechnical Report -
Duration: 1 Jan 1900 → …

Conference

ConferenceTechnical Report
Period1/01/00 → …

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Keywords

  • information retrieval
  • images
  • multimedia
  • computer science

Cite this

Goodfellow, M. H., Hunt, E., & McCafferty, D. (2009). reSearch: enhancing information retrieval with images. 1-6. Paper presented at Technical Report, .