Content-based image retrieval
From Library of Congress Subject Headings
Content-based image retrieval
URI(s)
- http://id.loc.gov/authorities/subjects/sh2008009943
- info:lc/authorities/sh2008009943
- http://id.loc.gov/authorities/sh2008009943#concept
Instance Of
Scheme Membership(s)
Collection Membership(s)
Variants
- CBIR (Content-based image retrieval)
- CBVIR (Content-based visual information retrieval)
- Content-based visual information retrieval
- QBIC (Query by image content)
- Query by image content
Broader Terms
Sources
- found: Work cat.: Multimedia systems and content-based image retrieval, 2004.
- found: Handbook of data structures and applications, 2005: p. 57-15 (Content-based image retrieval is a process of retrieving desired images from a large database based on internal features that can be obtained automatically from the images themselves. CBIR techniques are used to index and retrieve images from databases based on their pictorial content, typically defined by a set of features extracted from an image that describe the color, texture, and/or shape of the entire image or of specific objects in the image)
- found: International Conference on Pattern Recognition (18th : 2006 : Hong Kong). The 18th International Conference on Pattern Recognition, 2006: v. 4, p. 165 (Content-based image retrieval is a computer vision application that automatically retrieves images of user interest from large image databases based on the visual content)
- found: Wikipedia, Dec. 19, 2008 (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)
Change Notes
- 2008-12-30: new
Alternate Formats
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