SPIRE: A digital library for scientific information

International Journal on Digital Libraries

Volumn 3, Issue 1, 2000, Pages 85-99

  Bergman, Lawrence D ^a   Castelli, Vittorio ^a   Li, Chung Sheng ^a   Smith, John R ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Abstraction pyramid; Acquisition of content; Digital library; Object based model; Scientific data

Indexed keywords

EID: 0006606683     PISSN: 14325012     EISSN: 14321300     Source Type: Journal    
DOI: 10.1007/pl00021478     Document Type: Article

References (39)

1. Smith, J.R., Chang, S.-F.: Visually searching the web for content. IEEE Multimedia Magazine 4:12-20, Summer 1997 Demo at http://www.ctr.columbia.edu/webseek
2. Wactlar, H.D., et al.: Intelligent access to digital video, informedia project. IEEE Computer Magazine 29:46-52, May 1996
3. Wilensky, R.: Towards work-centered digital information services. IEEE Computer Magazine 29:37-43, May 1996
4. Smith, T.R: A digital library for geographically referenced materials. IEEE Computer Magazine 29:54-60, May 1996
5. Schatz, B., et al.: Federating diverse collections of scientific literature. IEEE Computer Magazine 29:28-36, May 1996
6. Atkins, D.E., et al.: Toward inquiry-based education through interacting software agents. IEEE Computer Magazine 29:69-76, May 1996
7. Paepcke, A., et al.: Using distributed objects for digital library interoperability. IEEE Computer Magazine 29:61-68, May 1996
8. Li, V., Wanjiun, L.: Distributed multimedia systems. Proc. IEEE 85:1063-1108, July 1997
9. D'Alessandro, M.P., et al.: The Iowa Health Book: creating, organizing and distributing a digital medical library of multimedia consumer health information on the internet to improve rural health care by increasing rural patient access to information. In: Proc. 3th Forum on Research and Technology Advances in Digital Libraries ADL'96, 1996, pp. 28-34
10. Lowe, H.J., et al.: The image engine HPCC project, a medicaldigital library system using agent-based technology to create an integrated view of the electronic medical record. In: Proc. 3th Forum on Research and Technology Advances in Digital Libraries, Washington, DC, USA, May 1996. ADL'96, pp. 45-56
11. Castelli, V., et al.: Progressive search and retrieval in large image archives. IBM Journal of Research and Development 42:253-268, Mar. 1998
12. Niblack, W., et al.: The QBIC project: Querying images by content using color texture, and shape. In: Proc. SPIE-Int. Soc. Opt. Eng., Vol. 1908. Storage Retrieval for Image and Video Databases, 1993, pp. 173-187
13. Hafner, J., et al.: Efficient color histogram indexing for quadraticform distance functions. IEEE Trans. Pattern Anal. Mach. Intell. 17:729-736, July 1995
14. Rao, A.R.: A Taxonomy for Texture Description and Identification. New York: Springer-Verlag, 1990
15. Carson, C., et al.: Region-based image query. In: Proc. IEEE CVPR'97 Workshop on Content-Based Access of Image and Video Libraries, Santa Barbara, CA, USA, 1997
16. Kimia, B.B., et al.: Shock-based approach for indexing of image databases using shape. In: Proc. SPIE Photonic East-Int. Soc. Opt. Eng., Vol. 3229, Boston, MA, USA, 3-4 November 1997, pp. 288-302
17. Santini, S., Jain, R.: Similarity query in image databases. In: Proc. IEEE Conf. Comp. Vis. and Pattern Rec., San Francisco, CA, USA, 18-20 June 1996. CVPR'96, pp. 646-651
18. Rui, Y., et al.: A relevance feedback architecture for content based multimedia information retrieval systems. In: Proc. IEEE Workshop on Cotent Based Access of Image and Video Libraries, San Juan, Puerto Rico, 20 June 1997, pp. 82-89
19. Cox, I.J., et al.: PicHunter: Bayesian relevance feedback for image retrieval. In: Int. Conf. On Pattern Recognition, Vienna, Austria, 1996
20. Wan, X., Yang, Z., Kuo, C.C.J.: Efficient interactive image retrieval with multiple seed images. In: Proc. SPIE Photonic West-Int. Soc. Opt. Eng., Vol. 3527. Multimedia Storage and Archiving Systems III, Boston, MA, USA, 2-4 November 1998, pp. 13-24
21. Li, C.-S., Smith, J.R., Castelli, V.: SSTIR: Similarity search through iterative refinement. In: Proc. SPIE Photonic West-Int. Soc. Opt. Eng., San Jose, CA, Jan 24-30 1998
22. Kim, B.S., Park, S.B.: A fast k nearest neighbor finding algorithm based on the ordered partition. IEEE Trans, Pattern Anal. Mach. Intell. PAMI-8:761-766, Nov. 1986
23. Cherkassky, V.S., Friedman, J.H., Wechsler, H.: From statistics to neural networks: theory and pattern recognition applications. Springer-Verlag, 1993
24. Thomasian A, Castelli, V., Li, C.-S.: Clustering and singular value decomposition for approximate indexing in high dimensional spaces. In: Proc. of Seventh International Conference on Information and Knowledge Management, Bethesda, MD, USA, 3-7 November 1998. CIKM'98, pp. 201-207
25. Bergman, L., Schoudt, J., Castelli, V., Knapp, L., Li, C.-S.:Asimm: A framework for automated synthesis of query interfaces for multimedia databases. In: Proc. SPIE-Int. Soc. Opt. Eng. 3229:264-275, 1997
26. Bergman, L.D., Castelli, V.: The match score image: A visualization tool for image query refinement. In: Proc. SPIE Photonic West-Int. Soc. Opt. Eng. 3298:172-183, 1999
27. Li, C.-S., Castelli, V.: Deriving texture feature set for contentbased retrieval of satellite image database. In: Proc. IEEE Int. Conf. on Image Proc., Santa Barbara, CA, Oct. 26-29 1997, pp. 567-579
28. Li, C.-S., Smith, J.R., Castelli, V., Bergman, L.D.: Comparingtexture feature sets for retrieving core images in petroleum applications. In: Proc. SPIE Photonic West-Int. Soc. Opt. Eng. 3656 Storage Retrieval Image Video Datab. VII:2-11, 1999
29. Guttman, A.: R-trees: a dynamic index structure for spatial searching. SIGMOD Record 14:47-57, June 1984
30. Li, C.-S., Smith, J.R., Castelli, V., Bergman, L.D.: Combining indexing and learning in iterative refinements. In: Proc. SPIE Photonic West-Int. Soc. Opt. Eng. 3656 Storage Retrieval Image Video Datab. VII:390-400, 1999
31. Pettit, E., Bailey, R., Bowden, R., Ashley, R.: Performance evaluation of statistical and neural network classifiers for automatic land use/cover classification. In: Proc. SPIE-Int. Soc. Opt. Eng. 1838:138-53, 1993
32. Salu, Y., Tilton, J.: Classification of multispectral image data by the binary diamond neural network and by nonparametric, pixel-by-pixel methods. IEEE Transactions on Geoscience and Remote Sensing 31:606-616, May 1993
33. Paola, J.D., Schowengerdt, R.A.: A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land-use classification. IEEE Transaction on Geoscience and Remote Sensing 33(4):981-998, 1995
34. Li, C.-S., Chen, M.-S.: Progressive texture matching for earchobserving satellite image databases. In: Proc. SPIE Photonic East-Int. Soc. Opt. Eng., Vol. 2916, Boston, MA,USA, 18-19 Nov. 1996, pp. 150-61
35. Castelli, V., Kontoyiannis, I., Li, C.-S., Turek, J.J.: Progressive classification: A multiresolution approach. Research Report RC 20 475, IBM, 06/10/1996
36. Ma, W., Manjunath, B.: Texture features and learning similarity. In: Proc. IEEE Conf. Comp. Vis. and Pattern Rec., San Francisco, CA, USA, 18-20 June 1996. CVPR'96, pp. 425-430
37. Squire, D.M.: Learning a similarity-based distance measure for image database organization from human partitioning of an image set. In: Proc. SPIE Photonic West-Int. Soc. Opt. Eng., Vol. 3527. Multimedia Storage and Archiving Systems III, Boston, MA, USA, 2-4 November 1998, pp. 80-88
38. Li, C.-S., Castelli, V., Bergman, L.D., Smith, J.R.: Sproc: Fast algorithm for sequential processing of composite objects retrieval from large image/video archives. In: Proc. SPIE Photonic West-Int. Soc. Opt. Eng., San Jose, CA, Jan 24-30 1998
39. Li, C.-S., Yu, P.S., Castelli, V.: Malm, a framework for mining sequence databases at multiple abstraction levels. In: Proc. 7th International Conference on Information and Knowledge Management, Bethesda, MD, USA, 3-7 November 1998. CIKM'98, pp. 267-272