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

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* Document classification
* Subject (documents)

## References

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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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*   * 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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*   * Lamy-Rousseau, F. (1984). Classification des images, materiels et donnees = Classification of images, materials and data . 2nd ed. Longueuil, Quebec: F. Lamy-Rousseau.
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*   * 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
*   * 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. https://web.archive.org/web/20080726185732/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.