Content-based image retrieval General scheme of content-based image retrieval Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey[1] for a recent scientific overview of the CBIR field). Content-based image retrieval is opposed to traditional concept-based approaches (see concept-based image indexing). History[edit] The term "content-based image retrieval" seems to have originated in 1992 when it was used by T. The earliest commercial CBIR system was developed by IBM and was called QBIC (Query by Image Content).[3] Technical progress[edit] The interest in CBIR has grown because of the limitations inherent in metadata-based systems, as well as the large range of possible uses for efficient image retrieval. CBIR techniques[edit] Query techniques[edit] Color[edit] Shape[edit]
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