Information selective image retrieval
In this paper, we introduce an information theoretic concept to image retrieval by first developing a novel method to compute the amount of information contained in image parts, and then using the informative-ness of the image parts to develop a flexible information selective image retrieval (ISIR) technology. We present experimental results which show that the new method is effective and is especially useful for retrieving similar objects from a variety of different backgrounds.