The Truth about Corel - Evaluation in Image Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Correlation learning method based on image internal semantic model for CBIR
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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A novel relevance feedback approach to image retrieval, Rich Get Richer (RGR) Strategy, is proposed in this paper. It is based on the general framework of Bayesian inference in statistics. The user's feedback information is propagated into the retrieval process step by step. The more promising images are emphasized by the Rich Get Richer (RGR) Strategy. On the contrary, the less promising ones are de-emphasized. The experimental results show that the proposed approach can capture the user's information need more precisely. By using RGR, the average precision improves from 5 to 20% for each interaction.