A Feature Relevance Estimation Method for Content-Based Image Retrieval

@article{Ajorloo2011AFR,
  title={A Feature Relevance Estimation Method for Content-Based Image Retrieval},
  author={Hossein Ajorloo and Abolfazl Lakdashti},
  journal={International Journal of Information Technology and Decision Making},
  year={2011},
  volume={10},
  pages={933-961}
}
Feature relevance estimation is one of the most successful techniques used for improving the retrieval results of a content-based image retrieval (CBIR) system based on users’ feedbacks. In this class of approaches, the weights of the feature elements (FEs) are adjusted based on the relevance feedbacks (RFs) given by the users to reduce the socalled semantic gap in the underlying CBIR system. An analytical approach is proposed in this paper to convert the users’ feedbacks to the appropriate FE… CONTINUE READING