Adaptive Visual Information Retrieval by Changing Visual Vocabulary Sizes in Context of User Intentions

  • Authors:
  • Marian Kogler;Mathias Lux;Oge Marques

  • Affiliations:
  • -;-;-

  • Venue:
  • MMWEB '11 Proceedings of the 2011 Workshop on Multimedia on the Web
  • Year:
  • 2011

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Abstract

The overwhelming availability of visual content on the Internet poses a serious problem: although there are huge resources to tap, users often cannot find the content they actually want. The information need of a user is based on the user's intention or the goal s/he wants to achieve. In this paper we distinguish between users that have clearly defined, specific information needs and goals and those that have a broader interest and less specific needs. We present a novel approach to retrieval adaptation based on the degree of intentionality. Our tests on two well known data sets demonstrate the potential of our approach.