3D Color Feature Extraction in Content-Based Image Retrieval

Content-Based Image Retrieval (CBIR) consists of retrieving the most visually similar images to a given query image from a database of images. "Content-based" means that the search will analyze the actual contents of the image rather than the metadata such as keywords, tags, and/or descriptions associated with the image. The term 'Content' in this context might refer to colours, shapes, textures, or any other information that can be derived from the image itself. CBIR is desirable because most web based image search engines rely purely on metadata and this produces a lot of garbage in the results.
Provided by: International Journal of Soft Computing and Engineering (IJSCE) Topic: Data Management Date Added: Jul 2012 Format: PDF

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