ACM Portal
  Subscribe (Full Service)    Register (Limited Service, Free)    Login
  Search:   The ACM Digital Library   The Guide
  
ACM Home Page
Please provide us with feedback. Feedback
Iterative refinement by relevance feedback in content-based digital image retrieval
Full text PdfPdf (817 KB)
Source International Multimedia Conference archive
Proceedings of the sixth ACM international conference on Multimedia table of contents
Bristol, United Kingdom
Pages: 13 - 20  
Year of Publication: 1998
ISBN:0-201-30990-4
Authors
M. E. J. Wood  University of Bristol, UK
B. T. Thomas  University of Bristol, UK
N. W. Campbell  University of Bristol, UK
Sponsors
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 0,   Downloads (12 Months): 18,   Citation Count: 10
Additional Information:

references   cited by   index terms   collaborative colleagues   peer to peer  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/290747.290750
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
N.W. Campbell, W.P.J. Mackeown, B.T. Thomas, and T. Troscianko. Interpreting Image Databases by Region Classification. Pattern Recognition, 30, 1997.
 
2
S.K. Chang and C.C. Yang. Picture Information Measures for Similaxi/y Retrieval. Computer Vision, Graphics and Image Processing, 23:366-375, 1982.
 
3
M. De Maxsicoi, L. Cinque, and Levialdi. Indexing Pictorial Documents by their Content: A Survey of Current Techniques. Image and Vision Computing, 15:119-141, 1997.
 
4
D. Forsyth, J. Ma~k, and R. Wilensky. Searching for Digital Pictures. Scientific American, pages 72-77, June 1997.
 
5
Rafael C. Gonzales , Paul Wintz, Digital image processing (2nd ed.), Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1987
 
6
William I Grosky , Yi Lu, Iconic indexing using generalized pattern matching techniques, Computer Vision, Graphics, and Image Processing, v.35 n.3, p.383-403, Sept. 1986  [doi>10.1016/0734-189X(86)90007-1]
 
7
Simon Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall PTR, Upper Saddle River, NJ, 1994
 
8
T. Kato, T. Turita, N. Otsu, and K. Hirata. A Sketch Retrieval Method for Full Colour Image Databases. In Proceedings of the Ilth International Conference on Pattern Recognition, pages 530-533, 1992.
 
9
T. Kohonen, J. Kangas, J. Laaksonen, and K. Torkkola. LVQ-PAK: A Program Package for the Correct Appliaction of Learning Vector Quantization Algorithms. In Proceedings of the International Conference on Neural Networks, volume I, pages 725-730, 1992.
 
10
Young Won Lim , Sang Uk Lee, On the color image segmentation algorithm based on the thresholding and the fuzzy C-means techniques, Pattern Recognition, v.23 n.9, p.935-952, 1990  [doi>10.1016/0031-3203(90)90103-R]
 
11
Myron Flickner , Harpreet Sawhney , Wayne Niblack , Jonathan Ashley , Qian Huang , Byron Dom , Monika Gorkani , Jim Hafner , Denis Lee , Dragutin Petkovic , David Steele , Peter Yanker, Query by Image and Video Content: The QBIC System, Computer, v.28 n.9, p.23-32, September 1995  [doi>10.1109/2.410146]
 
12
C.A. MiccheUi. Interpolation of scattered data: Distance matrices and conditionally positive definite functions. Constructive Approzimation, 2:11-22, 1986.
 
13
A. Pentland , R. W. Picard , S. Sclaroff, Photobook: content-based manipulation of image databases, International Journal of Computer Vision, v.18 n.3, p.233-254, June 1996  [doi>10.1007/BF00123143]
 
14
R. Plcard. A society of models for video and image libraries. Technical report, MIT MediaLaborartory: 1996.
15
John R. Smith , Shih-Fu Chang, VisualSEEk: a fully automated content-based image query system, Proceedings of the fourth ACM international conference on Multimedia, p.87-98, November 18-22, 1996, Boston, Massachusetts, United States  [doi>10.1145/244130.244151]
 
16
M. J. D. Powell, Radial basis functions for multivariable interpolation: a review, Algorithms for approximation, Clarendon Press, New York, NY, 1987
 
17
Y.tLPzess, S.A. Teukolsk~% W.T.~etterling and B.P. Flannc~' Numerical t~ecipies for C, Second Ed. Cambridge University- Press, Cambridge, 1992.
 
18
M.E.J. Wood, N.W. Campbell, and B.T. Thomas. Empl~ng Region Features for Searching an Image Database. In The Proceedings of the 1997 British MacMne~ Vision Conference, pages 620-629, 1997.
 
19
M.E.J. %Vood, N.~V. Campbell, and B.T. Thomas. Searing Laxge Image Databases using Radial Basis Function Neural Networks. In Proceedings of the Sixth Intewaational Conference o~ Image Processing and its Applica~iov. s, pages 116-120, 1997.

CITED BY  10
 
Lijuan Duan , Wen Gao , Wei Zeng , Debin Zhao, Adaptive relevance feedback based on Bayesian inference for image retrieval, Signal Processing, v.85 n.2, p.395-399, February 2005
Khanh Vu , Kien A. Hua , Duc A. Tran, An efficient core-area detection algorithm for fast noise-free image query processing, Proceedings of the 2001 ACM symposium on Applied computing, p.258-263, March 2001, Las Vegas, Nevada, United States
Ben Bradshaw, Semantic based image retrieval: a probabilistic approach, Proceedings of the eighth ACM international conference on Multimedia, p.167-176, October 2000, Marina del Rey, California, United States
 
Deok-Hwan Kim , Seung-Hoon Yu, A new region filtering and region weighting approach to relevance feedback in content-based image retrieval, Journal of Systems and Software, v.81 n.9, p.1525-1538, September, 2008
Kien A. Hua , Khanh Vu , Jung-Hwan Oh, SamMatch: a flexible and efficient sampling-based image retrieval technique for large image databases, Proceedings of the seventh ACM international conference on Multimedia (Part 1), p.225-234, October 30-November 05, 1999, Orlando, Florida, United States
Xiang Sean Zhou , Thomas S. Huang, Comparing discriminating transformations and SVM for learning during multimedia retrieval, Proceedings of the ninth ACM international conference on Multimedia, September 30-October 05, 2001, Ottawa, Canada
 
Zoran Stejić , Yasufumi Takama , Kaoru Hirota, Weighted Local Similarity Pattern as image similarity model incorporated in GA-based relevance feedback mechanism, Intelligent Data Analysis, v.7 n.5, p.443-467, October 2003
Feng Jing , Mingjing Li , Hong-Jiang Zhang , Bo Zhang, An effective region-based image retrieval framework, Proceedings of the tenth ACM international conference on Multimedia, December 01-06, 2002, Juan-les-Pins, France
 
Raghu Krishnapuram , Swarup Medasani , Sung-Hwan Jung , Young-Sik Choi , Rajesh Balasubramaniam, Content-Based Image Retrieval Based on a Fuzzy Approach, IEEE Transactions on Knowledge and Data Engineering, v.16 n.10, p.1185-1199, October 2004
Carlo Meghini , Fabrizio Sebastiani , Umberto Straccia, A model of multimedia information retrieval, Journal of the ACM (JACM), v.48 n.5, p.909-970, September 2001

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.1 Digitization and Image Capture
          Subjects: Camera calibration

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL

  I. Computing Methodologies
  I.5 PATTERN RECOGNITION


General Terms:
Design, Experimentation, Measurement

Collaborative Colleagues:
M. E. J. Wood: colleagues
B. T. Thomas: colleagues
N. W. Campbell: colleagues

Peer to Peer - Readers of this Article have also read:

The ACM Portal is published by the Association for Computing Machinery. Copyright © 2009 ACM, Inc.
Terms of Usage   Privacy Policy   Code of Ethics   Contact Us

Useful downloads: Adobe Acrobat    QuickTime    Windows Media Player    Real Player