Exploiting redundancy in cross-channel video retrieval

  • Authors:
  • Bouke Huurnink;Maarten de Rijke

  • Affiliations:
  • University of Amsterdam, Amsterdam, Netherlands;University of Amsterdam, Amsterdam, Netherlands

  • Venue:
  • Proceedings of the international workshop on Workshop on multimedia information retrieval
  • Year:
  • 2007

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Abstract

Video producers, in telling a news story, tend to repeat important visual and speech material multiple times in adjacent shots, thus creating a certain level of redundancy. We describe this phenomenon, and use it to develop a framework to incorporate redundancy for cross-channel retrieval of visual items using speech. Testing our models in a series of retrieval experiments, we find that incorporating the fact that information occurs redundantly into cross-channel retrieval leads to significant improvements in retrieval performance.