Abstract
Digitization may offer a means of making archival film content more accessible by allowing moving imagery to be delivered via the Internet and by CBIR-enabled mitigation of the effects of archivists’ inconsistent indexing practices. This paper reports on research which sought to gain an informed view on this potential. Working in collaboration with eleven representative film collections, evidence was gathered relating to subject access facilities and to client requirements in the form of 1,270 requests. The work revealed that the formulation and satisfaction of requests for archival footage places a heavy reliance on human intellectual input for which CBIR techniques offer little prospect of being an effective substitute. The conclusion is drawn that the combination of limited CBIR functionality and lack of adherence to cataloguing standards seriously limits the Internet’s potential for providing enhanced access to film and video-based cultural resources.
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References
Enser, P. G. B.: Pictorial Information Retrieval. (Progress in Documentation). Journal of Documentation, 51(2) (1995) 126–170
Rasmussen, E. M.: Indexing Images. In: Williams, M. E. (ed.): Annual Review of Information Science, 32. Information Today, Medford, New Jersey (1997), 169–196
Fidel, R.: The Image Retrieval Task: Implications for the Design and Evaluation of Image Databases. The New Review of Hypermedia and Multimedia, (1997), 181–199
Shatford, S.: Analyzing the Subject of a Picture: A Theoretical Approach. Cataloguing & Classification Quarterly, 5(3) (1986), 39–61
Shatford, S.: Describing a Picture: A Thousand Words are Seldom Cost Effective. Cataloging & Classification Quarterly, 4(4) (1984,) 13–30
Markey, K.: Interindexer Consistency Tests: A Literature Review and Report of a Test of Consistency in Indexing Visual Materials. Library & Information Science Research, 6(2) (1984) 155–177
Sandom, C. J; Enser, P. G. B.: VIRAMI — Visual Information Retrieval for Archival Moving Imagery. Library and Information Commission Research Report 129. Resource: The Council for Museums, Archives and Libraries, London (2002)
The Internet Movie Database: http://us.imdb.com/Plot?0048281
Enser, P.: Visual Image Retrieval: Seeking the Alliance of Concept-Based and Content-Based Paradigms. Journal of Information Science, 26(4) (2000), 199–210
Panofsky, E.: Studies in Iconology: Humanistic Themes in the Art of the Renaissance. Harper & Rowe, New York, (1962)
Armitage, L. H.; Enser, P. G. B.: Analysis of User Need in Image Archives. Journal of Information Science, 23(4) (1997), 287–299
Enser, P. G. B.; McGregor, C. G.: Analysis of Visual Information Retrieval Queries. Report on Project G16412 to the British Library Research & Development Department (1992)
Dublin City University, Centre for Digital Video Processing-DCU: Overview. http://lorca.compapp.dcu.ie/Video/overview.html (2001). Accessed September 2001
Lew, M. S.; Haas, M.; Touber, P.; Wentzler, D.: Leiden Video Segmentation and Classification. http://www.wi.leidenuniv.nl/home/lim/video.seg.classif.html (2001). Accessed September 2001
Savino, P.: Searching Documentary Films On-line: the ECHO Project ERCIM News No. 43. http://www.ercim.org/publication/Ercim_News/enw43/savino.html (2000). Accessed September 2001
Carnegie Mellon University: Informedia Digital Video Library at CMU. http://www.informedia.cs.cmu.edu/ (2001). Accessed September 2001
National Information Services and Systems. WWW-Search Engines. http://www.niss.ac.uk/lis/search-engines.html (2001). Accessed September 2001
Meyer, H.: Image and sound search engine page-Allsearchengines.com http://www.allsearchengines.com/images.html (2001). Accessed September 2001
Bernstein, Paula: Finding images online: links to image resources. http://www.berinsteinresearch.com/fiolinks.htm (2001). Accessed September 2001
Google: Google http://www.google.com (2001). Accessed September 2001
Cobion: Cobion Visual Content Search. http://www.cobion.com/services/portal.shtm-(2001). Accessed September 2001
Bulldozer Software, Inc.: Diggit! Image search engine. http://www.diggit.com (2001) Accessed July 2001
IBM: QBIC(™)—IBM’s Query By Image Content. http://wwwqbic.almaden.ibm.com/~qbic/ (1997). Accessed September 2001
Columbia University, WebSEEk-Content Based Image and Video Search and Catalog Tool for the Web. http://www.ctr.columbia.edu/webseek.
AltaVista Company,. AltaVista Image Search. http://uk.altavista.com/searchimg?stype=simage(2001)
Kirchner, Daniela. (ed.): The Researcher’s Guide to British Film and Television Collections. British Universities Film and Video Council, London: (1997)
Gilheany, S. Digital Image Sizes. http://www.ArchiveBuilders.com/whitepapers/27006v005p.pdf(2001). Accessed September 2001
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Enser, P.G.B., Sandom, C.J. (2002). Retrieval of Archival Moving Imagery - CBIR Outside the Frame?. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_22
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DOI: https://doi.org/10.1007/3-540-45479-9_22
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