Fixed-Window Image Descriptors for Image Retrieval

IS&T/SPIE Symposium on Electronic Imaging: Science and Technology, February 1995 We work towards a content-based image retrieval system, where queries can be image-like objects. At entry time, each image is processed to yield a large number of indices into its windows. A window is a square in a xed quad-tree decomposition of the image, and an index is a xed-size vector, called a descriptor, similar to the periodograms used in spectral estimation. The xed decomposition of images was prompted by the need for fast processing, but leads to windows that often straddle image regions with di erent textural contents, making indices less e ective. In this paper, we investigate di erent de nitions of spectral distance which we plan to use to classify windows according to their texture content.