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Don Williams, "An Overview of Image Quality Metrics," in Moving Theory into Practice: Digital Imaging for Libraries and Archives, Anne R. Kenney and Oya Y. Rieger (editors and principle authors). Mountain View, CA: Research Libraries Group, 2000
Researchers in metadata based retrieval, or hybrid retrieval systems that use metadata, are less organized than their peers in CBIR. In the absence of a complete bibliography, some recent and useful articles include:
Angeles, M. Information Organization and Information Use of Visual Resources Collections. VRA Bulletin, 25 (3), 51-58. available: http://studioid.com/articles/vruse/ [August 15, 2002]
Barnett, P.J. (1988). An art information system: From integration to interpretation. Library Trends, 37 (2), 194-205.
Dan Brickley, Harmany: a mid-term report (Or "Resource Discovery for Multimedia Metadata" revisited...) http://www.ilrt.bris.ac.uk/discovery/2001/03/multimeta/ March 2001
Abby Goodrum, M. Rorvig, K. Jeong and C. Suresh. An Open Source Agenda for Research Linking Text and Image Content Features. Journal of the American Society of Information Science, Available:
http://www.unt.edu/ir/papers/jasisg00.htm [August 15, 2002]
Andrew S. Gordon. "Browsing Image Collections with Representations
of Common-Sense Activities". Journal of the American Society for Information
Science and Technology 52(11): 925-929,
Sept. 2001.
Jane Greenberg. "A Quantitative Categorical Analysis of Metadata Elements in Image-Applicable Metadata Schemas." Journal of the American Society for Information Science and Technology, 52(11): 917-924 September 2001
Samantha Hastings. Query categories in a study of intellectual
access to digitized art images. American Society for Information Science,
annual meeting, Chicago IL, October 1995.
Jane Hunter. Combining the CIDOC CRM and MPEG-7 to Describe
Multimedia in Museums. Museums and the Web 2002. Archives & Museum
Informatics.2002.
2002Available http://www.archimuse.com/mw2002/papers/hunter/hunter.html [August 15, 2002]
Jane Hunter and Zhimin Zhan "An Indexing and Querying System for Online Images, Based on the PNG Format and Embedded Metadata" September, 1999 http://archive.dstc.edu.au/RDU/staff/jane-hunter/PNG/paper.html
Corinne Jšrgensen. "Image Indexing, an Analysis of Selected Classification Systems in relation to Image Attributes names by Na•ve Users". Annual Review of OCLC Research, 1999. Available: http://www.oclc.org/research/publications/arr/1999/jorgensen/ [August 15, 2002].
Corinne Jšrgensen. "A Conceptual Framework and Empirical Research for Classifying Visual Descriptors:. Journal of the American Society for Information Science and Technology. 52(11): 938-947, September 2001.
Guojun Lu and Ben Williams, Gippsland School of Computing and Information Technology Monash University, An Integrated WWW Image Retrieval System AusWeb99, The Fifth Australian World Wide Web Conference, held in Balliina, NSW, Australia from 17-20 April, 1999 http://ausweb.scu.edu.au/aw99/papers/lu/paper.html)
Markey, K. (1988). Access to iconographical research collections. Library Trends, 37 (2), 154-174.
Kathleen Perez-Lopez, Brian Krasner, Gregory Baraghimian Mark Berlin, Smart Metadata for Content-based Retrieval from Large Image Databases, http://www.computer.org/conferences/meta96/krasner/perez_lopez.html
Helene E. Roberts: A picture is worth a thousand words: Art indexing in electronic databases. JASIST 52(11): 911-916 (2001)
Shatford, S. (1986, Spring). Analyzing the subject of a picture: A theoretical approach. Cataloging & Classification Quarterly, 6 (3), 39-62.
A.M.Tam and C.H.C. Leung. "Structured Natural-Language Descriptions for Semantic Content Retrieval of Visual Materials". Journal of the American Society for Information Science and Technology. 52(11):930:937. September 2001.
CNI/OCLC Image Metadata Workshop, September 24 - 25, 1996 (3rd Dublin Core Workshop),
http://www.dlib.org/dlib/january97/oclc/01weibel.html
http://www.library.cornell.edu/cts/elicensestudy/home.html
http://www.amico.org/AMICOlibrary/dataspec.html [Aug. 15, 2002]
Categories for the Description of Works of Art. The Report of the Art Information Task Force. http://www.getty.edu/research/institute/standards/cdwa/
Proposed ISO 21127. Available http://cidoc.ics.forth.gr/index.html [Aug. 15, 2002].
A User Model for CIMI Z39.50 Application Profile, Kody Janney & Jane Sledge, September 1995 Available http://www.cimi.org/public_docs/Z3950_app_profile_0995.html [Aug 15, 2002]
CIMI
XML Schema for SPECTRUM
http://www.cimi.org/wg/xml_spectrum/index.html
A standard for describing social science datasets, represented as an XML DTD.
http://dublincore.org/groups/admin/
A set of 15 elements for simple resource description, used heavily in digital library applications, especially for visual materials and items in collections where full cataloging may not be warranted. http://www.dublincore.org [Aug. 12, 2002]
Machine-readable representation of archival finding aids, represented as an SGML DTD.
The FGDC maintains this portal to geospatial metadata resources, including the Content Standard for Digital Geospatial Metadata (CSDGM).
The LC Network Development and MARC Standards Office maintains this site relating to MARC Standards, which includes an HTML version of the MARC21 Concise Format for Bibliographic Data and other documentation.
An emerging schema for encoding descriptive, administrative, and structural metadata regarding objects within a digital library.
International Standards Organisation / Organisation internationale de normalization, ISO/IEC JTCL/SC29/WG11 Coding of moving pictures and audio. Klangenfurt, July 2002 Available at:
http://mpeg.telecomitalialab.com/standards/mpeg-7/mpeg-7.htm
NISO Z39.87-2002 AIIM 20-2002 Data Dictionary - Technical Metadata for Digital Still Images (pdf format) Available: http://www.niso.org/standards/resources/Z39_87_trial_use.pdf [Aug. 12, 2002]
SPECTRUM: The UK Museum
Documentation Standard, Second
edition Revised and edited by Jeff Cowton
Visual Resources Association Data Standards Committee. VRA Core Categories, Version 3.0
A metadata standard for describing visual resources, related to but much smaller than the Getty Categories for the Description of Art. Available http://www.vraweb.org/vracore3.htm [Aug. 12, 2002]
http://www-2.cs.cmu.edu/~cil/txtv-groups.html.
University of Geneva list of Groups involved in Image Retrieval
http://viper.unige.ch/other_systems/
http://www-2.cs.cmu.edu/~cil/vision.html
A collaboration headed by the University of Geneva to develop image retrieval benchmarks. http://www.benchathlon.net/.
http://www.benchathlon.net/resources/publiByYear.html
http://whitechapel.media.mit.edu/vismod/
previously at Stanford; http://wang.ist.psu.edu/IMAGE; recipient of NSF STIMULATE grant
http://www.elib.cs.berkeley.edu