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Semantic clustering and querying on heterogeneous features for visual data

Published: 01 September 1998 Publication History
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References

[1]
Special Issue on Content-Based Image Retrieval Systems, Editors V. N. Gudk~da and V. V. Raghavan. IEEE Computer, 28(9), 1995.
[2]
N. Ahuja and A. Rosenfeld. Mosaic models for texture. IEEE Transactions on Pattern Analysis and Machine Intelligence, 3(1):1-11, 1981.
[3]
J.tL Bach, C. Fuller, A. Gupta, A. Hampapur, B. Horo~tz, R. Jain, and C.F. Shu. The virage image search engine: An open framework for image management. In Proceedings of SPIE, Storage and Retrieval for Still Image and Video Databases IV, pages 76-87, San Jose, CA, USA, February 1996.
[4]
N. Bec!unann, H.P. Kriegel, tL Schneider, and B. Seeger. The R.*-tree: an efficient and Robust Access Method for Points and Rectangles. in Proceedings of A CM-SIGMOD International Conference on Management of Data, pages 322-331, Atlautic Cits; NJ, May 1990.
[5]
G.tL Cross and A~IC Jain. Markov random field texture models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(1):2.5-39, 1983.
[6]
G. Cybenko. Appro.~dmation by superimposing of a sigmoidal function. Mathematics of Control, Signals, and Systems, 2:303-314, 1989.
[7]
E.P~ DougherW and J.B. Pelz. Textm-e-based segmentation by morphological granulometrics. In Advanced Printing of Paper Summaries, Electronic Imaging '89, volume 1, pages 408-414, Boston, Massachusetts, October 1989.
[8]
M. Ester, H. Kriegel, J. Sander, and X. Xu. A Density- Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In Proceedings of 2nd International Conference on KDD, 1996.
[9]
M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, and B. Dora et aL Query by Image and Video Content: The QBIC S3~term IEEE Computer, 28(9), 1995.
[10]
A. Guttman. R-Trees: A Dynamic Index for Geometric Data. In Proceedings of the A CM SIGMOD International Conference on Management of Data, 1984.
[11]
L. Kaufrnan and P. J. Rousseeuw. Finding Groups in Data: an Introduction to Cluster Analysis. John Wiley & Sons, 1990.
[12]
~,V. Y. Ma and B. S. Manjunath. NETRA: A toolbox for na~igating large image databases, in IEEE International Conference on Image Processing, 1997.
[13]
Rajiv Mehrotra and James E. Gary. Similar-shape retrieval in shape data management. IEEE Computer, 28(9):57-62, September 1995.
[14]
T. P. Minka and tL W. Picard. Interactive learning using a "society of models". Technical Report 349, M.I.T. Media Laboratory Perceptual Computing Section, 1995.
[15]
Thomas Minka. An image database browser that learns from user interaction. Master's thesis, MIT, 1996.
[16]
tL T. Ng and J. Hun. Efficient and Effective Clustering Methods for Spatial Data Mining. In Proceedings of the 20th VLDB Conference, pages 144-155, Santiago, Chile, 1994.
[17]
Greg Pass, Ramin Zabih, and Justin Miller. Comparing iraages using color coherence vectors. In Proceedings of A CM Multimedia 96, pages 65-73, Boston MA USA, 1996.
[18]
A. Pentland, tL Picard, and S. Sclaroff. Photobook: Tools for Content-based Manipulation of Image Databases. In Proceedings of the SPIE Conference on Storage and Retrieval of Image and Video Databases II, pages 34-47, 1994.
[19]
Rosalind Picard. A society of models for video and image libraries. Technical Report 360, MiT Media Laboratory Perceptual Computing, 1996.
[20]
G. Sheikholeslami, S. Chatterjee, and A. Zhang. NeuoMerge: An Approach for Merging Heterogeneous Features in Content-based Image Retrieval Systems. In Proceedings of the 1998 International Workshop on Multi-media Database Management Systems, Dayton, Ohio, August 1998.
[21]
G. Sheikholeslami and A. Zhang. An Approach to Clustering Large Visual Databases Using Wavelet Transform. in Proceedings of the SPIE Conference on Visual Data Exploration and Analysis IV, San Jose, February 1997.
[22]
G. Sheikholeslami, A. Zhang, and L. Bian. Geographical Data Classification and Retrieval. In Proceedings of the 5th A GM International Workshop on Geographic Information Systems, pages 58-61, Las Vegas, Nevada, November 1997.
[23]
J. tL Smith and S. Chang. Transform Features For Texture Classification and Discrimination in Large Image Databases. In Proceedings of the IEEE International Conference on Image Processing, pages 407-411, 1994.
[24]
John tL Smith and Shih-Fu Chang. Visualseek: a fully automated content-based image query system. In Proceedings of A CM Multimedia 96, pages 87-98, Boston MA USA, 1996.
[25]
W.D. Stromberg and T.G. Farr. A Fourier-based textural feature extraction procedure. IEEE Transactions on Geoscience and Remote Sensing, 24(5):722-732, 1986.
[26]
J. Wang, W. Yang, and tL Acharya. Color Clustering Techniques for Color-Content-Based Image Retrieval. In the Fourth IEEE International Conference on Multimedia Computing and Systems (IGMCS'97), pages 442-449, Ottawa, Canada, June 1997.
[27]
Wei Wang, Jiong Yang, and Richard Muntz. STING: A statistical information grid approach to spatial data mining. In Proceedings of the 23rd VLDB Conference, pages 186- 195, Athens, Greece, 1997.
[28]
D.A. White and R. Jain. Algorithms and strategies for similarity retrieval. Technical Report VCL-96-101, Visual Computing Laboratory, University of California, San Diego, 1996.
[29]
A. Zhang, B. Cheng, and R. Acharya. A Fractal-Based Clustering Approach in Large Visual Database Systems. The International Journal on Multimedia Tools and Applications, 3(3):225-244, November 1996.
[30]
Jacek M. Zurada. Introduction to Artificial Neural Systems. West Publishing Company, 1992.

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cover image ACM Conferences
MULTIMEDIA '98: Proceedings of the sixth ACM international conference on Multimedia
September 1998
474 pages
ISBN:0201309904
DOI:10.1145/290747
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 September 1998

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MM98: The Sixth ACM International Multimedia Conference
September 13 - 16, 1998
Bristol, United Kingdom

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Cited By

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  • (2015)Adaptive Scene Category Discovery With Generative Learning and Compositional SamplingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2014.231389725:2(251-260)Online publication date: Feb-2015
  • (2010)Content-based image retrieval using the heterogeneous features2010 International Conference on Signal and Image Processing10.1109/ICSIP.2010.5697525(494-497)Online publication date: Dec-2010
  • (2009)Soft Computing Based CBIR SystemSoft Computing for Data Mining Applications10.1007/978-3-642-00193-2_6(119-137)Online publication date: 2009
  • (2008)SSVR-based image semantic retrieval2008 International Conference on Machine Learning and Cybernetics10.1109/ICMLC.2008.4620848(2607-2611)Online publication date: Jul-2008
  • (2008)A semantic description for content-based image retrieval2008 International Conference on Machine Learning and Cybernetics10.1109/ICMLC.2008.4620822(2466-2469)Online publication date: Jul-2008
  • (2007)Physical Database DesignundefinedOnline publication date: 21-Mar-2007
  • (2006)Image Content Annotation Based on Visual FeaturesProceedings of the Eighth IEEE International Symposium on Multimedia10.1109/ISM.2006.89(62-69)Online publication date: 11-Dec-2006
  • (2005)Mining images on semantics via statistical learningProceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining10.1145/1081870.1081877(22-31)Online publication date: 21-Aug-2005
  • (2004)ClassViewIEEE Transactions on Multimedia10.1109/TMM.2003.8195836:1(70-86)Online publication date: 1-Feb-2004
  • (2004)Concept-oriented indexing of video databasesIEEE Transactions on Image Processing10.1109/TIP.2004.82723213:7(974-992)Online publication date: 1-Jul-2004
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