This paper describes a method for creating agents for locating images of specific categories such as sky, vegetation, fire, and smoke. The method uses only color information, and is based on vector quantization to build a category specific codebook from a set of training images. The method is shown to yield categorization of images collected from several web sites on Internet with a high success rate. The method can be used as an aid to image annotation or as a way to filter images in a content-based image retrieval system.
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