Content-Based Retrieval Using Color, Texture, and Shape Information
Part of the
Lecture Notes in Computer Science
book series (LNCS, volume 2905)
Current technology allows the acquisition, transmission, storing, and manipulation of large collections of images. A way to achieve this goal is the automatic computation of features such as color, texture, shape, and position of objects within images, and the use of the features as query terms.
In this paper we describe some results of a study on similarity evaluation in image retrieval using shape, texture, color and object orientation and relative position as content features. A simple system is also introduced that computes the feature descriptors and performs queries.
KeywordsFeature Vector Image Retrieval Query Image Query Term Automatic Computation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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