References


[1] A. W. M. Smeulders, et al., Content-based image retrieval at the end of the early years, IEEE Trans. on PAMI, Vol. 22, 2000.

[2] A. Yoshitaka and T. Ichikawa, A survey on content-based retrieval for multimedia databases, IEEE TKDE, Vol. 11, 81–93, 1999.

[3] A. J. M. Traina, et al., The Metric Histogram: A New and Efficient Approach for Content-based Image Retrieval, in Sixth IFIP Working Conference on Visual Database Systems, Brisbane, Australia, 2002

[4] Y. A. Aslandogan and C. T. Yu, Techniques and systems for image and video retrieval, IEEE TKDE, Vol. 11, 56–63, 1999.

[5] H. Yamamoto, et al., Content-based Similarity Retrieval of Images Based on Spatial Color Distributions, in 10th Intl. Conference on Image Analysis and Processing, 1999, 951–956.

[6] E. G. M. Petrakis and E. Milios, Efficient Retrieval by Shape Content, in IEEE Intl. Conference on Multimedia Computing and Systems, 1999, 616–621.

[7] M. Adoram and M. Lew, Irus: Image Retrieval Using Shape, in IEEE Intl. Conference on Multimedia Computing and Systems, IEEE Computer Society, 1999, 597–602.

[8] G. L. Gimel'farb and A. K. Jain, On retrieving textured images from an image database, Pattern Recognition, Vol. 29, 1,461–1,483, 1996.

[9] W. Ma and B. Manjunath, Image Indexing Using a Texture Dictionary, in SPIE, Conference on Image Storage and Archiving System, 1995, 2606, 288–298.

[10] H. D. Wactlar et al., Lessons learned from building a terabyte digital video library, IEEE Computer, Vol. 32, 66–73, 1999.

[11] S. Tsekeridou and I. Pitas, Content-based video parsing and indexing based on audio-visual interaction, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 11, 522–535, 2001.

[12] Y. Rubner and C. Tomasi, Perceptual Metrics for Image Database Navigation, Kluwer Academic Publishers, Dordrect, 2001.

[13] E. G. M. Petrakis and C. Faloutsos, Similarity searching in medical image databases, IEEE TKDE, Vol. 9, 435–447, 1997.

[14] E. Albuz,E. Kocalar, and A. A. Khokhar, Scalable color image indexing and retrieval using vector wavelets, IEEE TKDE, Vol. 13, 851–861, 2001.

[15] L. G. Brown, A survey of image registration techniques, Computing Surveys, Vol. 24, 325–376, 1992.

[16] R. Mohr,T. Pavlidis, and A. Sanfeliu, Structural Pattern Analysis, World Scientific, Teaneck, NJ, 1990.

[17] H. Bunke and A. Sanfeliu, Syntactic and Structural Pattern Recognition Theory and Applications: Theory and Applications, World Scientific, Teaneck, NJ, 1990.

[18] C. Faloutsos, Searching Multimedia Databases by Content, Kluwer Academic Publishers, Boston, MA, 1996.

[19] S. Santini and A. Gupta, A Wavelet Data Model for Image Databases, in IEEE Intl. Conf. on Multimedia and Expo, IEEE Computer Society, Tokyo, Japan, 2001

[20] W. A. Burkhard and R. M. Keller, Some approaches to best-match file searching, CACM, Vol. 16, 230–236, 1973.

[21] J. K. Uhlmann, Satisfying general proximity/similarity queries with metric trees, Information Processing Letter, Vol. 40, 175–179, 1991.

[22] P. N. Yianilos, Data Structures and Algorithms for Nearest Neighbor Search in General Metric Spaces, in Fourth Annual ACM/SIGACT-SIAM Symposium on Discrete Algorithms - SODA, Austin, TX, 1993, 311–321.

[23] T.-C. Chiueh, Content-based image indexing, in VLDB, J. B. Bocca, M. Jarke and C. Zaniolo, Eds., Morgan Kaufmann, Santiago de Chile, Chile, 1994, 582–593.

[24] R. A. Baeza-Yates, et al., Proximity Matching Using Fixed-queries Trees, in 5th Annual Symp. on Combinatorial Pattern Matching (CPM), Springer Verlag, Asilomar, CA, 1994, 198–212.

[25] T. Bozkaya and Z. M. zsoyoglu, Indexing large metric spaces for similarity search queries, ACM Transactions on Database Systems (TODS), Vol. 24, 361–404, 1999.

[26] S. Brin, Near neighbor search in large metric spaces, in VLDB, U. Dayal, P. M. D. Gray and S. Nishio, Eds., Morgan Kaufmann, Zurich, Switzerland, 1995, 574–584.

[27] D. Shasha and T. L. Wang, New techniques for best-match retrieval, ACM TOIS, Vol. 8, 140–158, 1990.

[28] P. Ciaccia,M. Patella, and P. Zezula, M-tree: An efficient access method for similarity search in metric spaces, in VLDB, M. Jarke, Ed., Athens, Greece, 1997, 426–435.

[29] A. Guttman, R-tree: A dynamic index structure for spatial searching, in ACM SIGMOD, ACM PRess, Boston, MA, 1984, 47–57.

[30] E. Ch vez et al., Searching in metric spaces, Computing Surveys, Vol. 33, 273–321, 2001.

[31] C. Traina, Jr. et al., Slim-trees: High Performance Metric Trees Minimizing Overlap Between Nodes, in Intl. Conf. on Extending Database Technology, C. Zaniolo, et al., Eds., Springer, Konstanz, Germany, 2000, 51–65.

[32] C. Traina, Jr. et al., Fast indexing and visualization of metric datasets using slim-trees, IEEE TKDE, Vol. 14, 244–260, 2002.

[33] R. F. Santos, Filho, et al., Similarity search without tears: The omni family of all-purpose access methods, in IEEE ICDE, IEEE Computer Society, Heidelberg, Germany, 2001, 623–630.

[34] M. Flickner and et al., Query by image and video content: The QBIC system, IEEE Computer, Vol. 28, 23–32, 1995.

[35] J. R. Smith and S.-F. Chang, Visualseek: A Fully Automated Content-based Image Query System, in ACM Multimedia '96, ACM Press, Boston, MA, 1996, 87–98.

[36] A. Gupta, A Virage Perspective, in Tech. Report Virage Corp., 1995.

[37] J. R. Smith et al., Integrating Features, Models, and Semantics for Trec Video Retrieval, in The Tenth Text REtrieval Conference, TREC 2001, NIST, Gaithersburg, MD, 2001, 240–249.

[38] V. E. Ogle and M. Stonebraker, Chabot: Retrieval from a relational databases of images, IEEE Computer, vol. 28, 40–48, 1995.

[39] X. Cao and H. K. Huang, Current status and future advances of digital radiography and pacs, IEEE Engineering in Medicine and Biology Magazine, Vol. 9, 80–88, 2000.

[40] E. L. Siegel and R. M. Kolodner, Filmless Radiology, Springer Verlag, New York City, NY, 1999.

[41] I. I. 13249-1:2000, Information technology - database languages - sql multimedia and application packages - part 1: Framework, International Organization for Standardization - ISO, 2001.

[42] I. I. 13249-5:2001, Information technology - database languages - sql multimedia and application packages - part 5: Still image, International Organization for Standardization - ISO, 2001.




Handbook of Video Databases. Design and Applications
Handbook of Video Databases: Design and Applications (Internet and Communications)
ISBN: 084937006X
EAN: 2147483647
Year: 2003
Pages: 393

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