Concept-based image indexing: Difference between revisions

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{{Short description|Method of image retrieval}}

'''Concept-based image indexing''', also variably named as "'''description-based'''" or "'''text-based'''" '''image indexing'''/'''retrieval''', refers to retrieval from text-based indexing of images that may employ keywords, [[Subject heading|subject headings]], captions, or natural language text (Chen & Rasmussen, 1999). It is opposed to '''[[Content-based image retrieval]]'''. Indexing is a technique used in CBIR.

Chu (2001) confirms that there exist two distinctive research groups employing the content-based and description-based approaches, respectively. However, research in the content-based ___domain is currently dominating in the field, while the other approach has less visibility.

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* Ahmad, K., M. Tariq, B. Vrusias and C.Handy. 2003. Corpus-based thesaurus construction for image retrieval in specialist domains. In Sebastiani, F. (ed.). Proceedings of the 25th European Conference on Information Retrieval Research (ECIR-03). 502–510. Heidelberg: Springer Verlag.

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* Angeles, M. (1998). Information Organization and Information Use of Visual Resources Collections. VRA Bulletin, 25 (3), 51-58. [https://archive.today/20130205065426/http://urlgreyhot.com/personal/publications/information_organization_and_information_use_of_visual_resources?PHPSESSID=05f07e15bb719a05b4c621657f8cd897{{dead link|date=August 2017 |bot=InternetArchiveBot |fix-attempted=yes }}]

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* Chen, H.-L., & Rasmussen, E.M. (1999). Intellectual access to images. Library Trends, 48(2), 291–302.