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AtomsNet: Multimedia Peer2Peer File Sharing

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Image and Video Retrieval (CIVR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2383))

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Abstract

Current Peer2Peer (P2P) systems such as Napster or Kazaa do not perform analysis on the content of the media but instead depend on manual text annotation. In the AtomsNet project we are investigating multi-modal content based browsing and searching methods for P2P retrieval systems. This is the first P2P system which performs analysis on the video content for browsing multimedia collections over large, distributed P2P networks.

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References

  1. Del Bimbo, A., and P. Pala, “Visual Image Retrieval by Elastic Matching of User Sketches,” IEEE Trans. Pattern Analysis and Machine Intelligence, February, pp. 121–132, 1997.

    Google Scholar 

  2. Forsyth, D., J. Malik, M. Fleck, T. Leung, C. Bregler, C. Carson, and H. Greenspan, “Finding Pictures of Objects in Large Collections of Images,” Proceedings, International Workshop on Object Recognition, Cambridge, April 1996.

    Google Scholar 

  3. Frankel, C., M. Swain and V. Athitsos, “WebSeer: An Image Search Engine for the World Wide Web,” Technical Report 96-14, University of Chicago, August 1996.

    Google Scholar 

  4. Gevers, T. and A. Smeulders, “PicToSeek: A Content-Based Image Search System for the World Wide Web,” VISUAL’97, San Diego, December, pp. 93–100.

    Google Scholar 

  5. Picard, R.. “A Society of Models for Video and Image Libraries.” IBM Systems Journal. 1996.

    Google Scholar 

  6. Hu, M., “Visual Pattern Recognition by Moment Invariants”, IRA Trans, on Information Theory, vol. 17–8, no. 2, pp. 179–187, Feb. 1962.

    Google Scholar 

  7. Huijsmans, D. P., M. Lew, and D. Denteneer, “Quality Measures for Interactive Image Retrieval with a Performance Evaluation of Two 3x3 Texel-based Methods,” International Conference on Image Analysis and Processing, Florence, Italy, September, 1997.

    Google Scholar 

  8. Kittler, J., M. Hatef, R. Duin, and J. Matas, “On Combining Classifiers,” IEEE Trans. Patt. Anal. and Mach. Intel., vol. 20, no. 3, March 1998.

    Google Scholar 

  9. Kullback, S. “Information Theory and Statistics,” Wiley, New York, 1959.

    MATH  Google Scholar 

  10. Lew, M., “Next Generation Web Searches for Visual Content,” IEEE Computer, November, pp. 46–53, 2000.

    Google Scholar 

  11. Lew, M. and N. Huijsmans, “Information Theory and Face Detection,” Proceedings of the International Conference on Pattern Recognition, Vienna, Austria, August 25–30, 1996, pp. 601–605.

    Google Scholar 

  12. Lew, M. and T. Huang, “Optimal Supports for Image Matching,” Proc. of the IEEE Digital Signal Processing Workshop, Loen, Norway, Sept. 1–4, 1996, pp. 251–254.

    Google Scholar 

  13. Ojala, T., M. Pietikainen and D. Harwood, “A Comparative Study of Texture Measures with Classification Based on Feature Distributions,” vol. 29, no. 1, pp. 51–59, 1996.

    Google Scholar 

  14. Petkovic, D., “Challenges and Opportunities for Pattern Recognition and Computer Vision Research in Year 2000 and Beyond,” Proc. of the Int. Conf. on Image Analysis and Processing, September, Florence, vol. 2, pp. 1–5, 1997.

    Google Scholar 

  15. Dufaux, F. “Key Frame Selection to Represent a Video.” ICIP, 2000.

    Google Scholar 

  16. Rowley, H., and T. Kanade, Neural Network Based Face Detection, IEEE Trans. Patt. Anal. and Mach. Intell., vol. 20, no. 1, pp. 23–38, 1998.

    Article  Google Scholar 

  17. Smith, J. R. and S. F. Chang, “Visually Searching the Web for Content,” IEEE Multimedia, 1997, pg. 12–20.

    Google Scholar 

  18. Sung, K. K., and T. Poggio, Example-Based Learning for View-Based Human Face Detection, IEEE Trans. on Patt. Anal. and Mach. Intell, vol. 20, no. 1, pp. 39–51, 1998.

    Article  Google Scholar 

  19. Taycher, L., M. Cascia, and S. Sclaroff, “Image Digestion and Relevance Feedback in the ImageRover WWW Search Engine,” VISUAL’97, December, San Diego, pp. 85–91.

    Google Scholar 

  20. Tekalp, A. M., Digital Video Processing, Prentice Hall, New Jersey, 1995.

    Google Scholar 

  21. Vailaya, A., A. Jain and H. Zhang, “On Image Classification: City vs. Landscape,” IEEE Workshop on Content-Based Access of Image and Video Libraries, Santa Barbara, June 21, 1998.

    Google Scholar 

  22. Wang, L. and D. C. He, “Texture Classification Using Texture Spectrum,” Pattern Recognition 23, pp. 905–910, 1990.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. LIACS Media Lab, Leiden University, Niels Bohrweg 1, 2300 CA, Leiden, The Netherlands

    Willem de Bruijn & Michael S. Lew

Authors
  1. Willem de Bruijn
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  2. Michael S. Lew
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Editor information

Editors and Affiliations

  1. LIACS Media Lab, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Michael S. Lew  & Nicu Sebe  & 

  2. Institute for Image Data Research, University of Northumbria, Newcastle, NE1 8ST, UK

    John P. Eakins

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© 2002 Springer-Verlag Berlin Heidelberg

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de Bruijn, W., Lew, M.S. (2002). AtomsNet: Multimedia Peer2Peer File Sharing. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_15

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  • DOI: https://doi.org/10.1007/3-540-45479-9_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43899-1

  • Online ISBN: 978-3-540-45479-3

  • eBook Packages: Springer Book Archive

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