Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval

@article{Chum2007TotalRA,
  title={Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval},
  author={Ondrej Chum and James Philbin and Josef Sivic and Michael Isard and Andrew Zisserman},
  journal={2007 IEEE 11th International Conference on Computer Vision},
  year={2007},
  pages={1-8}
}
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which has proven successful in achieving high precision at low recall. Unfortunately, feature detection and quantization are noisy processes and this can result in variation in the particular visual words that appear in different images of the same object, leading to missed results. In the text retrieval literature a standard… CONTINUE READING

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