reSearch : enhancing information retrieval with images

Goodfellow, Martin Hugh and Hunt, Ela and McCafferty, Daniel (2009) reSearch : enhancing information retrieval with images. In: Technical Report, 1900-01-01. (Unpublished)

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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.

    • Item type:Conference or Workshop Item(Paper)
      ID code:8104
      Dates:
      Date
      Event
      10 May 2009
      Published
      Keywords:information retrieval, images, multimedia, computer science, Computer software, Computer Science(all), Library and Information Sciences
      Subjects:Science > Mathematics > Computer software
      Department:Faculty of Science > Computer and Information Sciences
      Depositing user: Mr Martin H Goodfellow
      Date deposited:10 Jun 2009 12:37
      Last modified:28 Nov 2021 01:30
      URI:https://strathprints.strath.ac.uk/id/eprint/8104
    CORE (COnnecting REpositories)