Link Anchors in Images: Is there Truth?


Aly, Robin and McGuinness, Kevin and Kleppe, Martijn and Ordelman, Roeland and O'Connor, Noel and Jong, Franciska de (2012) Link Anchors in Images: Is there Truth? In: 12th Dutch Belgian Information Retrieval Workshop, DIR 2012, 24 February 2012, Ghent, Belgium.

[img] PDF
Restricted to UT campus only
: Request a copy
Abstract: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.
Item Type:Conference or Workshop Item
Copyright:© 2012 ACM
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:
Official URL:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page