Link Anchors in Images: Is there Truth?

Robin Aly, Kevin McGuinness, Martijn Kleppe, Roeland J.F. Ordelman, Noel O'Connor, Franciska M.G. de Jong

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

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While automatic linking in text collections is well understood, little is known about links in images. In this work, we investigate two aspects of anchors, the origin of a link, in images: 1) the requirements of users for such anchors, e.g. the things users would like more information on, and 2) possible evaluation methods assessing anchor selection algorithms. To investigate these aspects, we perform a study with 102 users. We find that 59% of the required anchors are image segments, as opposed to the whole image, and most users require information on displayed persons. The agreement of users on the required anchors is too low (often below 30%) for a ground truth-based evaluation, which is the standard IR evaluation method. As an alternative, we propose a novel evaluation method based on improved search performance and user experience.
Original languageUndefined
Title of host publicationProceedings of the 12th Dutch Belgian Information Retrieval Workshop (DIR 2012)
Place of PublicationGhent
PublisherGhent University
Number of pages4
ISBN (Print)not assigned
Publication statusPublished - 24 Feb 2012
Event12th Dutch-Belgian Information Retrieval Workshop, DIR 2012 - Ghent, Belgium
Duration: 24 Feb 201224 Feb 2012
Conference number: 12

Publication series

PublisherUniversity Ghent


Workshop12th Dutch-Belgian Information Retrieval Workshop, DIR 2012
Abbreviated titleDIR


  • METIS-286282
  • EWI-21603
  • IR-80184

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