Content-based image retrieval: Difference between revisions

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Revision as of 21:07, 25 August 2021

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"Content-based" means that the search analyzes the contents of the image rather than the [[Metadata (computing)|metadata]] such as keywords, tags, or descriptions associated with the image. The term "content" in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. CBIR is desirable because searches that rely purely on metadata are dependent on [[Automatic image annotation|annotation]] quality and completeness.

Having humans manually annotate images by entering keywords or metadata in a large database can be time -consuming and may not capture the keywords desired to describe the image. The evaluation of the effectiveness of keyword image search is subjective and has not been well-defined. In the same regard, CBIR systems have similar challenges in defining success.<ref name="Eakins">{{cite web |url=http://www.jisc.ac.uk/uploaded_documents/jtap-039.doc |title=Content-based Image Retrieval |author=Eakins, John |author2=Graham, Margaret |publisher=University of Northumbria at Newcastle |access-date=2014-03-10 |url-status=dead |archive-url=https://web.archive.org/web/20120205153636/http://www.jisc.ac.uk/uploaded_documents/jtap-039.doc |archive-date=2012-02-05 }}</ref> "Keywords also limit the scope of queries to the set of predetermined criteria." and, "having been set up" are less reliable than using the content itself.<ref name=IW.1996/>

==History==