Dublin City University at CLEF 2006: experiments for the ImageCLEF photo collection standard ad hoc task

  • Authors:

  • Kieran McDonald;Gareth J. F. Jones

  • Affiliations:

  • MSN Redmond and Centre for Digital Video Processing & School of Computing, Dublin City University, Dublin 9, Ireland;Centre for Digital Video Processing & School of Computing, Dublin City University, Dublin 9, Ireland

  • Venue:
  • CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
  • Year:
  • 2006

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Abstract

For the CLEF 2006 Cross Language Image Retrieval (ImageCLEF) Photo Collection Standard Ad Hoc task, DCU performed monolingual and cross language retrieval using photo annotations with and without feedback, and also a combined visual and text retrieval approach. Topics are translated into English using the Babelfish online machine translation system. Text runs used the BM25 algorithm, while visual approach used simple low-level features with matching based on the Jeffrey Divergence measure. Our results consistently indicate that the fusion of text and visual features is best for this task, and that performing feedback for text consistently improves on the baseline nonfeedback BM25 text runs for all language pairs.