Concept-based image indexing

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 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.

See also

References

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

Chu, H. T. (2001). Research in image indexing and retrieval as reflected in the literature. Journal of the American Society for Information Science and Technology, 52(12), 1011-1018.

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Wang, J. Z. (2001). Integrated Region-Based Image Retrieval. Boston, MA: Kluwer Academic Publishers. Book review: http://www-db.stanford.edu/~wangz/project/kluwer/1/review.pdf

Wang, Xin; Erdelez, Sanda; Allen, Carla; Anderson, Blake; Cao, Hongfei & Shyu, Chi-Ren (2011). Role of Domain Knowledge in Developing User-Centered Medical-Image Indexing. Journal of the American Society for Information Science and Technology, early view October 2011. doi:10.1002/asi.21686

Warden, G.; Dunbar, D.; Wanczycki, C. & O'Hanley, S. (2002). The Subject Analysis of Images: Past, Present and Future. http://www.slais.ubc.ca/people/students/student-projects/C_Wanczycki/libr517/homepage.html

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