Content-based sub-image retrieval using relevance feedback

@inproceedings{Luo2004ContentbasedSR,
  title={Content-based sub-image retrieval using relevance feedback},
  author={Jie Luo and Mario A. Nascimento},
  booktitle={MMDB},
  year={2004}
}
This paper presents the use of relevance feedback to the problem of content-based sub-image retrieval (CBsIR). Relevance feedback is used to improve the accuracy of successive retrievals via a tile re-weighting scheme that assigns penalties to each tile of database images and updates the tile penalties for all relevant images retrieved at each iteration using both the relevant (positive) and irrelevant (negative) images identified by the user. Performance evaluation on a dataset of over 10,000… CONTINUE READING
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