Database architecture for content-based image retrieval

@inproceedings{Kato2005DatabaseAF,
  title={Database architecture for content-based image retrieval},
  author={Toshikazu Kato},
  year={2005}
}
This paper describes visual interaction mechanisms for image database systems. The typical mechanisms for visual interactions are query by visual example (QVE) and query by subjective descriptions (QBD). The former includes a sketch retrieval function and a similarity retrieval function, and the latter includes a sense retrieval function. We adopt both an image model and a user model to interpret and operate the contents of image data from user's viewpoint. The image model describes the… CONTINUE READING
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