Atkins, Daniel et al., "Toward Inquiry-Based Education Through Interacting Software Agents." [IEEE] Computer, 29 (May 1996): 69-76.

Note: In the University of Michigan Digital Library, interacting software agents cooperate and compete within a virtual information economy to provide library services to students, researchers, and educators.

Bach, J.R. et al., "The Virage Image Search Engine: An open framework for image management," SPIE conference "Storage and Retrieval for Still Image and Video Databases IV," Feb. 1, 1996.

Note: It describes visual primitives and discusses the extensibility of the Virage VIR Image Engine.

Califano, A. and R. Mohan, "Multidimensional Indexing for Recognizing Visual Shapes." IEEE Trans., Pattern Analysis and Machine Intelligence, Vol. 16, No. 4 (1994): 373-92.

Cardenas, A.F. et al., "The Knowledge-Based Object-Oriented Picquery + Language." IEEE Trans., Knowledge and Data Engineering, Vol. 5, No. 4, (1993): 644-57.

Carson, Chad, et al., "Region-Based Image Querying [Blobworld]." Presented at CVPR '97, Workshop on Content-Based Access of Image and Video Libraries, Puerto Rico, June 1997.

Cawkell, A. E., "Selected aspects of image processing and management: review and future prospects." Journal of Information Science, 18 (1992): 179-92.

Cawkell, Anthony E., "Picture-Queries and Picture Databases." Journal of Information Science, Vol. 19, No. 6 (1993): 409-423.

Chakravarthy, A., "Representing Information Needs with Semantic Relations." Proceedings of the15th Annual Conference on Computational Linguistics (COLING94). Somerset, NJ: Association for Computational Linguistics, 1994.

Chellappa, R., C.L. Wilson and S. Sirohey, "Human and Machine Recognition of Faces: a Survey." Proc. IEEE., Vol. 83, No. 5 (May 1, 1995): 705-40.

Cox, Ingemar J., Matt L. Miller, Stephen M. Omohundro and Peter N. Yianilos, "PicHunter: Bayesian Relevance Feedback for Image Retrieval," ICPR,(1996): 361-69.

Enser, Peter G.B., "Pictorial Information Retrieval: Issues Related to Subject Indexing." Journal of Documentation, Vol. 51, No. 2 (June 1995):126-170.

Fayyad, Usama M., S.G. Djorgovski and Nicholas Weir, "From Digitized Images to Online Catalogs," AI Magazine, (1996): 51-66.

Flickner, Myron et al., "Query by Image and Video Content: The QBIC System." [IEEE] Computer, Vol. 28, No. 9 (Sept. 1, 1995): 23-32.

Note: QBIC lets users find pictorial information in large image and video databases based on color, shape, texture, and sketches. QBIC technology is part of several IBM products.

Forsyth, David A., Jitendra Malik and Robert Wilensky, "Searching for Digital Pictures." Scientific American, (June 1997): 88-93.

Forsyth, David A. and Margaret Fleck, "Body Plans." Presented at CVPR '97, Puerto Rico, June 1997.

Frost, C. Olivia and Yi Lu, "Experiments in the Application of Multimode Retrieval in Image Collections for General Users," submitted to ACM Digital Libraries '97.

Grosky, D.T. and R. Mehrotra, "Index-Based Object Recognition in Pictorial Data Management." Computer Vision, Graphics and Image Processing, Vol. 52, No. 3 (1994): 416-36.

Grosky, W., "Multimedia Information Systems." IEEE Multimedia, Vol. 1, No. 1 (1994): 12-24.

Gudivada, Venkat and Vijay V. Raghavan, "Content-Based Image Retrieval Systems." [IEEE] Computer, Vol. 28, No. 9 (Sept. 1, 1995): 18-22.

Guibas, Leonidas J. and Carlos Tomasi, "Image Retrieval and Robot Vision Research at Stanford." DARPA IU Workshop proceedings, Feb. 1996.

Note: Retrieval of images from data bases and vision for mobile robots. Demos of retrieval based on texture and color, and retrieval based on shape information in the presence of occlusions.

Gupta, Amarnath, "Visual Information Retrieval Technology: A VIRAGE Perspective," 1995. Available from the VIRAGE homepage.

Gupta, Amarnath and Ramesh Jain, "Visual Information Retrieval," Communications of the ACM, Vol. 40, No. 5 (May 1997): 71-79.

Hermes, Thomas, et al., "Image Retrieval for Information Systems." SPIE, Vol. 2420 (1995): 394-405.

Holt, Bonnie and Laura Hartwich, "Retrieving art images by image content: the UC Davis QBIC project." Aslib Proceedings, Vol. 46, No. 10 (October 1994): 243-248.

Note: UC Davis Dept. of Art and Art History is using QBIC, a visual query software program under development by IBM to determine how effective it might be in retrieving art images based on what they look like. A joint research project with IBM.

"IBM Unleashes QBIC Image-Content Search," Seybold Report on Desktop Publishing, Vol. 9, No. 1 (Sept. 12, 1994).

Queries images by color, texture, shape.

Jagadish, H.V., "Retrieval Technique for Similar Shapes." Proceedings of ACM SIGMOD Conference on Management of Data. New York: ACM, 1991.

Jain, R., "NSF Workshop on Visual Information Management Systems," SIGMOD Record, Vol. 22, No. 3 (Dec, 1, 1993.): 57-75.

Kato, T., T. Kurita and H. Shimogaki, "Intelligent Visual Interaction with Image Database Systems - Toward the Multimedia Personal Interface." Journal of Information Processing [Japan], Vol. 14, No. 2 (1991): 134-43.

Krause, Michael G., "Intellectual Problems of Indexing Picture Collections." Audiovisual Librarian, Vol. 14, No. 2 (May 1988): 73-81.

Leung, C.H.C., J. Hibler and N. Mwara, "Picture Retrieval by Content Description." Journal of Information Science,Vol. 18, No. 2 (1992): 111-119.

Note: Addresses the fundamental problem of modelling data in the context of still pictures using the entity-attribute-relationship model.

Leung, C.H.C., J. Hibler and N. Mwara, "Content-based Retrieval in Multimedia Databases." Computer Graphics, Vol. 28, No. 1 (Feb. 1994).

Note: Uses attribute-relationship model, which allows the concept of relationships between two or more objects in a picture to be represented in the database. Introduces a picture description language which allows the contents of pictures to be systematically represented.

Marcus, S., V.S. Subrahmanian, "Structured Multimedia Database Systems." Tech. Report CS-TR-3185, University of Maryland, College Park, MD, 1993.

Markey, Karen, "Access to Iconographical Research Collections." Library Trends, Vol. 37, No. 2 (1988): 154-74.

Iconographical research collections are tools that support the iconographical approach to the history of art and offer access to secondary subject matter and photographic reproductions of artworks.

Mehrotra, Fajiv and James E. Gary, "Simlar-Shape Retrieval In Shape Data Management." [IEEE] Computer, Vol. 28, No. 9 (Sept. 1, 1995): 57-62.

Note: A new similar-shape retrieval system effectively models real-world applications. It is flexible enough to handle rigid or articulated shapes and simple or complex query images.

Ogle, Virginia E. and Michael Stonebraker, "Chabot: Retrieval from a Relational Database of Images." [IEEE] Computer, Vol. 28, No. 9 (Sept. 1, 1995): 40-48.

Note: Selecting from a large, expanding collection of images requires carefully chosen search criteria. Here's an approach that integrates a relational database retrieval system with a color analysis technique.

Oomoto, E. and K. Tanaka, "ROVID: Design and Implementation of a Video-Object Database System." IEEE Trans., Knowledge and Data Engineering, Vol. 5, No. 4 (1993): 629-43.

Orbach, Barbara, "So That Others May See: Tools for Cataloging Still Images." In Describing Archival Materials, Haworth Press: 1990.

Note: Examines six critical features of photographs that should be reflected in cataloging.

Paepcke, Andreas et al., "Using Distributed Objects for Digital Library Interoperability." [IEEE] Computer Vol. 29, No. 5 (May 1, 1996).

Note: Distributed object technology can provide interoperability among emerging digial library services. This project uses CORBA objects as wrappers to handle differences in service interaction models.

Pentland, A., R.W. Picard and S. Sclaroff, "Photobook: Tools for Content-Based Manipulation of Image Databases." Proceedings of Storage and Retrieval for Image and Video Databases II, Vol. 2, No. 185 (1994): 34-47.

Pentland, A., R.W. Picard and S. Sclaroff, "Photobook - Content Based Manipulation of Image Databases." International Journal of Computer Vision, Vol. 18, No. 3 (June 1996): 233-254.

Price, Rosanne, Tat-Seng Chua and Suliman Al-Hawamdeh, "Applying Relevance Feedback to a Photo Archival System." Journal of Information Science, Vol. 18 (1992): 203-215.

Note: A first attempt to apply and optimise relevance feedback techniques to improve retrieval in a text based image archival system.

Rorvig, Mark E., "A Method for Automatically Abstracting Visual Documents," Journal of the American Society for Information Science, Vol. 44, No. 1 (1993): 40-56.

Note: Describes a method for automatically selecting key frames from visual documents (film, video-tape, digital recordings).

Schatz, Bruce, and Chen Hsinchun, "Guest Editors' Introduction: Building Large-Scale Digital Libraries." [IEEE] Computer, Vol. 29, No. 5 (May 1, 1996).

Schatz, Bruce et al., "Federating Diverse Collections of Scientific Literature," Computer, Vol. 29, No. 5 (May 1, 1996).

Note: A University of Illinois project is developing an infrastructure for indexing scientific literature so that multiple Internet sources can be searched as a single federated digital library.

Shatford, Sara, "Analyzing the Subject of a Picture: A Theoretical Approach," Cataloging & Classification Quarterly, Vol. 6, No. 3 (Spring 1986): 39-62.

Note: Suggests a theoretical basis for identifying and classifying the kinds of subjects a picture may have.

Shatford Layne, Sara, "Some Issures in the Indexing of Images." Journal of the American Society for Information Science, Vol. 45, No. 8 (1994): 583-588.

Note: Discusses some of the intellectual issues involved in indexing of images.

Smith, J.R. and S.-F. Chang, "Tools and Techniques for Color Image Retrieval," in Symposium on Electronic Imaging: Science and Technology - Storage & Retrieval for Image and Video Databases IV, Vol. 2670, San Jose, CA, Feb. 1996.

Smith, Terence R., "A Digital Library for Geographically Referenced Materials," [IEEE] Computer, Vol. 29, No. 5 (May 1, 1996): 54-60.

Note: ADL will provide on-line public access to maps, photos, and other information referenced in geographic terms. Much of this data currently is found only at major research libraries.

Srihari, Rohini K., "Automatic Indexing and Content-Based Retrieval of Captioned Images," [IEEE] Computer, Vol. 28, No. 9 (Sept. 1, 1995): 49-56.

Note: A new approach to face recognition integrates textual and photographic techniques. It extracts from photo captions to identify human faces and provide content-based retrieval.

Srihari, Rohini K. and D.T. Burhans, "Visual Semantics: Extracting Visual Information from Text Accompanying Pictures," Proceedings of AAAI '94. Menlo Park, CA: AAAI, 1994: 793-798.

Strat, T.M. and M.A. Fischler, "Context-Based Vision: Recognizing Objects Using Information from Both 2D and 3D Imagery," IEEE Trans., Vol. 13, No. 10 (Oct. 1, 1991): 1050-65.

Stanford Digital Library Project: Papers Excerpts, October 1994 - October 1995. See the Stanford Digital Library Project web site.

Svenonius, Elaine, "Access to Nonbook Materials: The Limits of Subject Indexing for Visual and Aural Languages," Journal of the American Society for Information Science, Vol. 45, No. 8 (1994): 600-606.

Note: Concludes that for some nonbook materials there are instances that defy subject indexing.

Treat, Harold, "Searching Images Using Ultimedia Manager."

Note: IBM's Ultimedia Manager is a software product for management and retrieval of image data. It includes both content based and traditional database search.

Wactlar, Howard D.et al., "Intelligent Access to Digital Video: Informedia Project"[IEEE] Computer, Vol. 29, No. 5 (May 1, 1996): 46-53.

Note: Information retrieval is an increasingly complex process, due to digital integration of video, audio, and text resources. An experimental project will explore the challenges posed by these digtal video libraries.

Wilensky, Robert, "Toward Work Centered Digital Information Services," [IEEE] Computer, Vol. 29, No. 5 (May 1, 1996): 37-45.

Note: Information retrieval becomes an increasing challenge as comprehensive image databases emerge alongside traditional text databases. Here a set of digital information services offers intriguing new retrieval possibilties.

Last updated June 17 1998 by Anna Noakes