Database Digital Image Imagery Retrieval Search
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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 to the image retrieval problem, that is, the problem of searching for digital images in large databases. "Content-based" means that the search makes use of the contents of the images themselves, rather than relying on human-inputted metadata such as captions or keywords.
Image retrieval - An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images so that retrieval can be performed over the annotation words.
Automatic image annotation - Automatic image annotation is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval systems to organize and locate images of interest from a database.
Controlled Image Base - CIB is unclassified digital imagery, produced to support mission planning and command, control, communications, and intelligence systems. CIB will be used as a map substitute for emergencies and crises in the event that maps do not exist or are outdated.
databasedigitalimageimageryretrievalsearch
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