Fixed-window image descriptors for image retrieval

Leonidas J. Guibas; B. Rogoff; Carlo Tomasi

doi:10.1117/12.205305

23 March 1995 Fixed-window image descriptors for image retrieval

Leonidas J. Guibas, B. Rogoff, Carlo Tomasi

Proceedings Volume 2420, Storage and Retrieval for Image and Video Databases III; (1995) https://doi.org/10.1117/12.205305
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

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 fixed quad-tree decomposition of the image, and an index is a fixed-size vector, called a descriptor, similar to the periodograms used in spectral estimation. The fixed decomposition of images was prompted by the need for fast processing, but leads to windows that often straddle image regions with different textural contents, making indices less effective. In this paper, we investigate different definitions of spectral distance which we plan to use to classify windows according to their texture content.

Citation Download Citation

Leonidas J. Guibas, B. Rogoff, and Carlo Tomasi "Fixed-window image descriptors for image retrieval", Proc. SPIE 2420, Storage and Retrieval for Image and Video Databases III, (23 March 1995); https://doi.org/10.1117/12.205305

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