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The newspaper image database: empirical supported analysis of users' typology and word association clusters
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Seattle, Washington, United States
Pages: 212 - 218  
Year of Publication: 1995
ISBN:0-89791-714-6
Author
Susanne Ornager  Royal School of Librarianship, Birketinget 6, 2300 Copenhagen S. Denmark
Sponsors
BCS-ISRG : BCS-ISRG
CEPIS : Council of European Professional Informatics Societies
AICA : Assoc Italianai de Calcolo Automatico
BCS-IRSG : BCS/Information Retrieval Specialist Group
German Comp Soc : GI - Gesellshaft for Informatik
IPSJ : Information Processing Society of Japan
SIGIR: ACM Special Interest Group on Information Retrieval
DD :
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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8
Gagliardi, Isabella et al. (1988). A Pictorial and textual IR environment based on image description. In: Image Analysis and Processing II. Ed. by V. Cantoni et al. New York, New York Plenum Press cop., pp. 405-413.
 
9
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Hatano, Hiroyuki (1989). Photographic collections in Japan: Accessibility and new technology. In: Art Libraries Journal, vol. 14(4), pp. 7-9.
 
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Ingwersen, Peter; Ornager, Susanne (1989). Failles opstillings-, emneindekserings- og sogesystem til Politikens s/h billedarkiv, farve arkiv og negativ arkiv. {General indexing and retrieval system for the image archive at Politiken}. Intern rapport. {Internal Restricted Report}. Kobenhavn, Politiken. (Unpubliced).
 
14
Keistler, Lucinda H. (1994). User types and queries: Impact on image access systems. In." Challenges in Indexing Electronic Text and Images. Ed. by Raya Fidel et al. ASIS Monograph Series. Learned information Inc., Medford, NJ, pp. 7-22.
 
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Leung, C.H.C.; Hibler, J.N.D. (1991). Architecture of a pictural data base management system. (BLR&D Report 6066). London, University of London.
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Niblack, W.; Barber, R. et al. (1993). The QBIC project: querying images by content using color, texture, and shape, in: Storage and retrieval for image video databases. Ed. by W. Niblack. Proceedings of the SPIE, San Jos6, California, vol. 1908, pp. 173-187.
 
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Ornager, Susanne (1992). The Image as an information resource. In: Proceedings from the 8th Nordic Conference on Information and Documentation, 19-21 May 1992 in Helsingborg. Stockholm, Tekniska Litteraturs~illskapet, pp. 17-21.
 
21
Ornager, Susanne (1994). The Image database. A need for innovative indexing and retrieval. In: Knowledge Organization and Quality Management. Proceedings of the Third International ISKO Conference 20-24 June 1994, Copenhagen, Denmark. Advances in Knowledge Organization, Vol. 4(1994). indeks Verlag, Frankfurt/Main, pp. 208-216.
 
22
Panofsky, Erwin (1962). Studies in Iconology: Humanistic themes in the art of Renaissance. Reprinted, New York: Harper & Rdow.
 
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Raskin, R. & Stone, M.D. (1987). Picture databases: comming into focus. In: PC Magazine, August, pp. 341-376.
 
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Strunck, Kirsten (1991). Katalogisering af billeder. Kobenhavn, Danmarks Biblioteksskole. (Unpubliced).
 
26
Tamura, H. & Yokoya, N. (1984). Image database systems. A survey. In: Pattern Recognition, vol. 171(1), pp. 29-43.

CITED BY  8