Integration of Color , Edge , Shape , and Texture

We present algorithms for automatic image annotation and retrieval based on color, shape, texture, and any combination of two or more of these features. Pixel-or region (object)-based color; region-based shape; and block-or region-based texture features have been considered. Automatic region selection has been accomplished by integrating color and spatial edge features. Color, shape, and texture indexing may be knowledge-based (using appropriate training sets) or by example. The multi-feature integration algorithms are designed to: i) ooer the user a wide range of options and exibilities in order to enhance the outcome of the search and retrieval operations, and ii) provide a compromise between accuracy and computational complexity, and vice versa. We demonstrate the performance of the proposed algorithms on a variety of images.