Corpus ID: 63340847

iFind: An Image Retrieval System with Relevance Feedback Based on the Combination of Semantics and Visual Features

@article{Xing2002iFindAI,
  title={iFind: An Image Retrieval System with Relevance Feedback Based on the Combination of Semantics and Visual Features},
  author={Z. Xing},
  journal={Chinese Journal of Computers},
  year={2002}
}
  • Z. Xing
  • Published 2002
  • Computer Science
  • Chinese Journal of Computers
The relevance feedback approach to image retrieval is a powerful technique and has been an active research direction for the past few years. Various ad hoc parameter estimation techniques have been proposed for relevance feedback. In addition, methods that perform optimization on multi level image content model have been formulated. However, these methods only perform relevance feedback on the low level image features and fail to address the images' semantic content. This paper proposes a… Expand
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