Image classification and indexing

"Concept-based" image retrieval focuses on using words to retrieve images (e.g. title, subject heading, keyword or caption as subject access points), whereas "content-based" image retrieval or CBIR focuses on the visual features of the image (e.g. size, colors, textures, etc.). 

 

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.

 

 

 

 

Literature:

 

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.

 

Angeles, M. (1998). Information Organization and Information Use of Visual Resources Collections. VRA Bulletin, 25 (3), 51-58. http://urlgreyhot.com/personal/publications/information_organization_and_information_use_of_visual_resources?PHPSESSID=05f07e15bb719a05b4c621657f8cd897

 

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.

 

Deb, S. (Ed.). (2004). Multimedia Systems and Content-Based Image Retrieval. Hershey, PA: Idea group publishing.

 

Elkins, J. (1999).  The Domain of Images. Ithaca and London: Cornell University Press.

 

Fidel, R.; Hahn, T. B.; Rasmussen, E. M. & Smith, P. J. (1994). Challenges in Indexing Electronic Text and Images. Medford, NJ: Learned Information. (ASIS Monograph Series)

 

Heidorn, P. B. & Sandore, B. (Eds.). (1997). Digital Image Access & Retrieval: Proceedings of the 1996 Clinic on Library Applications of Data Processing. Illinois: University of Illinois, Graduate School of Library and Information Science.

 

Jörgensen, C. (2003). Image Retrieval. Theory and Research. Lanham, Maryland: Scarecrow Press.

 

Kjellman, U. (2006). Från kungaporträtt till läskeetikett. En domänanalytisk studie över Kungl. bibliotekets bildsamling med särskild inriktning mot katalogiserings- och indexeringsfrågor. Uppsala: Uppsala Universitet. (Skrifter utgivna av Institionen för ABM vid Uppsala Universitet. Volym 2).

 

Landbeck, C. R. (2002). The organization and categorization of political cartoons: An exploratory study. The Florida State University, School of Information Studies. (Master of Science thesis).  http://etd.lib.fsu.edu/theses/available/etd-06272003-144515/unrestricted/crl01.pdf

 

Lamy-Rousseau, F. (1984). Classification des images, materiels et donnees = Classification   of   images, materials and data . 2nd ed. Longueuil, Quebec: F. Lamy-Rousseau.

 

Panofsky, E. (1962). Studies in Icology: Humanistic themes in the art of the Renaissance. New York: Harper & Row.

 

Rasmussen, E. M. (1997). Indexing images. Annual Review of Information Science and Technology, 32, 169-196.

 

Shatford, S. (1986). Analyzing the Subject of a Picture: A Theoretical Approach. Cataloging and Classification Quarterly, 6(3), 39-62.

 

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

 

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

 

Ørnager, S.  (1997). Image retrieval - Theoretical analysis and empirical user studies on accessing information in images. Proceedings of the ASIS annual meeting, 34, 202-211.

 

 

See also: Hermitage Museum;  ICONCLASS; Ofness; Picture (Core concepts in LIS).

 

 

 

 

 

Birger Hjørland

Last edited: 10-06-2007

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