Leveraging visual concepts and query performance prediction for semantic-theme-based video retrieval

@article{Rudinac2012LeveragingVC,
  title={Leveraging visual concepts and query performance prediction for semantic-theme-based video retrieval},
  author={Stevan Rudinac and Martha Larson and Alan Hanjalic},
  journal={International Journal of Multimedia Information Retrieval},
  year={2012},
  volume={1},
  pages={263-280}
}

• Stevan Rudinac, Martha Larson, Alan Hanjalic
• Published in
  International Journal of Multimedia Information…
  2012
• DOI:10.1007/s13735-012-0018-0

In this paper, we present a novel approach that utilizes noisy shot-level visual concept detection to improve text-based video retrieval. As opposed to most of the related work in the field, we consider entire videos as the retrieval units and focus on queries that address a general subject matter (semantic theme) of a video. Retrieval is performed using a coherence-based query performance prediction framework. In this framework, we make use of video representations derived from the visual… CONTINUE READING

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