Text size
  • Small
  • Medium
  • Large
Contrast
  • Standard
  • Blue text on blue
  • High contrast (Yellow text on black)
  • Blue text on beige

    COPE: Interactive Image Retrieval Using Conversational Recommendation

    HCI2012 - People & Computers XXVI

    Proceedings of HCI 2012
    The 26th BCS Conference on Human Computer Interaction

    Birmingham, UK, 12 - 14 September 2012

    AUTHORS

    Bartoz Balcer, Martin Halvey, Stephen Brewster & Joemon Jose

    ABSTRACT

    Most multimedia retrieval services e.g. YouTube, Flickr, Google etc. rely on users searching using textual queries or examples. However, this solution is inadequate when there is no text, very little text, the text is in a foreign language or the user cannot form textual a query. In order to overcome these shortcomings we have developed an image retrieval system called COPE (COnversational Picture Exploration) that can use a number of different preference feedback mechanisms, inspired by conversational recommendation paradigms, for image retrieval. In COPE users are presented with a small number of search results and simply have to express whether these results match their information need. We examine the suitability of a number of feedback approaches for semi-automatic and interactive image retrieval. For interactive retrieval we compared our preference based approaches to text based search (where we consider text to be an upper bound), our results indicate that users prefer preference based search to text based search and in some cases our approaches can outperform text based search.

    PAPER FORMATS

    PDF filePDF Version of this Paper (721kb)