Image searching on the Excite Web search engine

Information Processing and Management

Volumn 37, Issue 2, 2001, Pages 295-311

  Goodrum, Abby ^a   Spink, Amanda ^b  

^a Drexel University   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; DATA STRUCTURES; QUERY LANGUAGES; SEARCH ENGINES; WEB BROWSERS; WORLD WIDE WEB;

SOFTWARE PACKAGE EXCITE;

ONLINE SEARCHING;

EID: 0035281489     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(00)00033-9     Document Type: Article

References (45)

1. Aigrain P., Zhang H.J., Petkovic D. Content-based representation and retrieval of visual media: a state-of-the-art review. Multimedia Tools and Applications. 3(3):1996;179-202.
2. Armitage L., Enser P.G.B. Analysis of user need in image archives. Journal of Information Science. 23(4):1997;287-299.
3. Bach J., Fuller C., Gupta A., Hampapur A., Horowitz B., Humphrey R., Jain R. The Virage image search engine: an open framework for image management. Storage and Retrieval for Still Image and Video Databases, Proceedings of SPIE. 2670:1996;76-87.
4. Carson, C., et al. (1997). Region-based image querying. Proceedings of IEEE Workshop on Content-Based Access to Image and Video Libraries, (pp. 42-49). San Juan, Puerto Rico.
5. Cawkell, A. (1993). Indexing collections of electronic images: a review. British Library Research Review, 15.
6. Enser P.G.B. Progress in documentation: pictorial information retrieval. Journal of Documentation. 51(2):1995;126-170.
7. Enser, P., & McGregor, C. (1993). Analysis of visual information retrieval queries. British Library Research and Development Report, 6104.
8. Fidel R. The image retrieval task: implications for the design and evaluation of image databases. The New Review of Hypermedia and Multimedia. 3:1997;181-199.
9. Flickner, M., et al., (1995). Query by image and video content: the QBIC system. IEEE Computer, 28 (9), 23-32.
10. Goodrum, A. (1998). A cognitive approach to representing moving image documents. In W. Mustafa el Hadi, J. Maniez, & S. Politt, Advances in knowledge organization: Vol. 6. Structures and relations in knowledge organization. Proceedings of the Fifth International Society for Knowledge Organization Conference. August, 1998 Lille, France (pp. 256-263). Wurzburg: Ergon.
11. Goodrum, A., & Kim (1998). Visualizing the History of Chemistry: Queries to the CHF Pictorial Collection. Report to the Chemical Heritage Foundation Pictorial Collection. http://www.chemheritage.org/Publications/ChemHeritage/Goodrum/goodrum.htm.
12. Goodrum A., Martin K. Bringing fashion out of the closet: classification structure for the Drexel historic costume collection. Bulletin of the American Society for Information Science. 25(6):1999;21-23.
13. Gudivada V.N., Raghavan V.V. Content-based image retrieval systems. IEEE Computer. 28(9):1995;18-22.
14. Hastings, S. K. (1995). Query categories in a study of intellectual access to digitized art images. Proceedings of the American Society for Information Science Annual Meeting, 3, 3-8.
15. Hourihane, C. (1989). A selective survey of systems of subject classification. Computers and the History of Art, 117-129.
16. Idris F., Panchanathan S. Review of image and video indexing techniques. Journal of Visual Communication and Image Representation. 8(2):1997;146-166.
17. Jain, R. (1993). Workshop report: NSF workshop on visual information management systems. In Niblack, W. R., & Jain, R. C., Storage and Retrieval for Image and Video Databases, Proceedings of SPIE, 1908, 198-218.
18. Jansen, B. J., Spink, A., & Saracevic, T. (1998). Failure analysis in query construction: data and analysis from a large sample of web queries. Proceedings of the Third ACM Conference on Digital Libraries, Pittsburgh, PA, 289-290.
19. Jansen, B., Spink, A., & Saracevic, T. (1999). Relevance Feedback. Proceedings of WebNet 99: The World Conference of the World Wide Web, Internet, and Intranet, Hawaii. October 1999.
20. Jansen B.J., Spink A., Saracevic T. Real life, real users and real needs: a study and analysis of user queries on the web. Information Processing and Management. 36(2):2000;207-227.
21. Jorgensen C. The applicability of existing classification systems to image attributes: a selected review. Knowledge Organization and Change. 5:1995;189-197.
22. Jorgensen, C. (1999). Retrieving the unretrievable in electronic imaging systems emotions, themes, and stories. Proceedings of SPIE - The International Society for Optical Engineering, 3644, Jan 25-28, 1999.
23. Keister, L. (1994). User types and queries: impact on image access systems. In Fidel, R., Challenges in Indexing Electronic Text and Images, Proceedings of the American Society for Information Science Annual Meeting 1994, 7-22.
24. Lancaster, F. (1998). Indexing and abstracting in theory and practice (2nd ed.). London: Library Association.
25. Lawrence S., Giles C.L. Accessibility of information on the web. Nature. 400:1999;107-109.
26. Lunin L. Electronic image information. Annual Review of Information Science and Technology. 22:1987;179-224.
27. Ma W., Manjanath B. Netra: a toolbox for navigating large image databases. Proceedings of IEEE International Conference on Image Processing (ICIP97). 1:1998;568-571.
28. Markey K. Indexer consistency tests: a literature review and report of a test of consistency in indexing visual materials. Library and Information Science Research. 6:1984;155-177.
29. Markey K. Access to iconographical research collections. Library Trends. 37(2):1988;154-174.
30. O'Connor B., O'Connor M., Abbas J. Functional descriptors of image documents: user-generated captions and response statements. Journal of the American Society for Information Science. 50(8):1999;681-697.
31. Ornager S. Image retrieval: theoretical and empirical user studies on accessing information in images. Proceedings of the 60th Annual Meeting of the American Society for Information Science. 34:1997;202-211.
32. Panofsky E. Studies in iconology. 1967;Harper and Row, New York.
33. Rasmussen E. Indexing images. Annual Review of Information Science and Technology. 32:1997;169-196.
34. Seloff G.J. Automated access to the NASA-JSC image archive. Library Trends. 38(4):1990;682-696.
35. Shatford S. Analyzing the subject of a picture: a theoretical approach. Cataloging and Classification Quarterly. 6(3):1986;39-62.
36. Shatford-Layne S. Some issues in the indexing of images. Journal of the American Society of Information Science. 45(8):1994;583-588.
37. Smeulders A., Jain R. Image databases and multimedia search. 1997;World Scientific, Singapore.
38. Smith, J., & Chang, S. (1997). An image and video search engine for the world wide web, In Sethi, I., & Jain, R., Storage and Retrieval for Image and Video Databases V, Proceedings of SPIE, 3022, 84-95.
39. Spink A., Saracevic T. Interactive information retrieval sources and effectiveness of search terms during mediated online searching. Journal of the American Society for Information Science. 48(8):1997;741-761.
40. Stricker, M., & Orengo, M. (1995). Similarity of color images. In Niblack, W. R., & Jain, R. C., Storage and Retrieval for Image and Video Databases III, Proceedings of SPIE, 2420, pp. 381-392.
41. Tamura H., Mori S., Yamawaki T. Textual features corresponding to visual perception. IEEE Transactions on Systems, Man and Cybernetics. 8(6):1978;460-472.
42. Turner J. Representing and accessing information in the stock shot database at the national film board of Canada. The Canadian Journal of Information Science. 15:1990;1-22.
43. Turner J. Indexing ordinary pictures for storage and retrieval. Visual Resources: An International Journal of Documentation. 10:1994;265-273.
44. Turner, J. (1999). Words and pictures in information systems for moving images. Proceedings of the 1998 AMIA Conference, 7-12 December 1998, Fontainbleau Hilton, Miami. Beverly Hills, CA: Association of Moving Image Archivists, 309-315.
45. Zheng M. Metadata elements for object description and representation: a case report from a digitized historical fashion collection project. Journal of the American Society for Information Science. 50(13):1999;1193-1208.