Concept detectors: how good is good enough?

  title={Concept detectors: how good is good enough?},
  author={Robin Aly and Djoerd Hiemstra},
  booktitle={ACM Multimedia},
Today, semantic concept based video retrieval systems often show insufficient performance for real-life applications. Clearly, a big share of the reason is the lacking performance of the detectors of these concepts. While concept detectors are on their endeavor to improve, following important questions need to be addressed: "How good do detectors need to be to produce usable search systems?" and "How does the detector performance influence different concept combination methods?". We use Monte… CONTINUE READING

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Key Quantitative Results

  • Current web search engines produce a mean average precision (MAP) of around 0.20.


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Advances in Large Margin Classifiers, chapter Probabilistic outputs for support vector machines and comparison to regularized likelihood methods, pages 61–74

  • J. Platt
  • 2000
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