Advances in Multimedia

Advances in Multimedia / 2007 / Article
Special Issue

Toward the Next-Generation Peer-to-Peer Services

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Research Article | Open Access

Volume 2007 |Article ID 026070 | https://doi.org/10.1155/2007/26070

E. Ardizzone, L. Gatani, M. La Cascia, G. Lo Re, M. Ortolani, "Enhanced P2P Services Providing Multimedia Content", Advances in Multimedia, vol. 2007, Article ID 026070, 12 pages, 2007. https://doi.org/10.1155/2007/26070

Enhanced P2P Services Providing Multimedia Content

Academic Editor: Yi Cui
Received30 Jan 2007
Accepted28 Aug 2007
Published01 Nov 2007

Abstract

The retrieval facilities of most Peer-to-Peer (P2P) systems are limited to queries based on unique identifiers or small sets of keywords. Unfortunately, this approach is very inadequate and inefficient when a huge amount of multimedia resources is shared. To address this major limitation, we propose an original image and video sharing system, in which a user is able to interactively search interesting resources by means of content-based image and video retrieval techniques. In order to limit the network traffic load, maximizing the usefulness of each peer contacted in the query process, we also propose the adoption of an adaptive overlay routing algorithm, exploiting compact representations of the multimedia resources shared by each peer. Experimental results confirm the validity of the proposed approach, that is capable of dynamically adapting the network topology to peer interests, on the basis of query interactions among users.

References

  1. D. Milojicic, V. Kalogeraki, R. Lukose et al., “Peer-to-peer computing,” Tech. Rep. HPL-2002-57, HP Labs, Palo Alto, Calif, USA, 2002. View at: Google Scholar
  2. C-Net News, “Napster among fastest-growing Net technologies,” 2000. View at: Google Scholar
  3. Limewire, “The Gnutella protocol specification (ver. 0.4),” 2001, http://www9.limewire.com/developer/gnutella_protocol_0.4.pdf. View at: Google Scholar
  4. E. Ardizzone, L. Gatani, M. La Cascia, G. Lo Re, and M. Ortolani, “Enhanced P2P services providing multimedia content,” in Proceedings of the 8th IEEE International Symposium on Multimedia (ISM '06), pp. 637–646, San Diego, Calif, USA, December 2006. View at: Publisher Site | Google Scholar
  5. I. King, C. H. Ng, and K. C. Sia, “Distributed content-based visual information retrieval system on peer-to-peer networks,” ACM Transactions on Information Systems, vol. 22, no. 3, pp. 477–501, 2004. View at: Publisher Site | Google Scholar
  6. W. Müller and A. Henrich, “Fast retrieval of high-dimensional feature vectors in P2P networks using compact peer data summaries,” in Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR '03), pp. 79–86, Berkeley, Calif, USA, November 2003. View at: Publisher Site | Google Scholar
  7. I. Lee and L. Guan, “Content-based image retrieval with automated relevance feedback over distributed peer-to-peer network,” in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS '04), vol. 2, pp. 5–8, Vancouver, British Columbia, Canada, May 2004. View at: Google Scholar
  8. M. Kacimi, K. Yétongnon, Y. Ma, and R. Chbeir, “HON-P2P: a cluster-based hybrid overlay network for multimedia object management,” in Proceedings of the 11th International Conference on Parallel and Distributed Systems (ICPADS '05), vol. 1, pp. 578–584, Fukuoka, Japan, July 2005. View at: Publisher Site | Google Scholar
  9. L.-S. Wu, R. Akavipat, and F. Menczer, “6S: distributing crawling and searching across Web peers,” in Proceedings of the IASTED International Conference on Web Technologies, Applications, and Services (WTAS '05), pp. 159–164, Calgary, Alberta, Canada, July 2005. View at: Google Scholar
  10. R. Datta, J. Li, and J. Z. Wang, “Content-based image retrieval: approaches and trends of the new age,” in Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR '05), pp. 253–262, Singapore, November 2005. View at: Publisher Site | Google Scholar
  11. A. Del Bimbo, Visual Information Retrieval, Academic Press, New York, NY, USA, 1999.
  12. B. Günsel, A. M. Tekalp, and P. J. L. van Beek, “Content-based access to video objects: temporal segmentation, visual summarization, and feature extraction,” Signal Processing, vol. 66, no. 2, pp. 261–280, 1998. View at: Publisher Site | Google Scholar
  13. Y. Deng, B. S. Manjunath, C. Kenney, M. S. Moore, and H. Shin, “An efficient color representation for image retrieval,” IEEE Transactions on Image Processing, vol. 10, no. 1, pp. 140–147, 2001. View at: Publisher Site | Google Scholar
  14. E. Hadjidemetriou, M. D. Grossberg, and S. K. Nayar, “Multiresolution histograms and their use for recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 7, pp. 831–847, 2004. View at: Publisher Site | Google Scholar
  15. S. Jeong, C. S. Won, and R. M. Gray, “Image retrieval using color histograms generated by Gauss mixture vector quantization,” Computer Vision and Image Understanding, vol. 94, no. 1–3, pp. 44–66, 2004. View at: Publisher Site | Google Scholar
  16. E. Ardizzone and M. La Cascia, “Automatic video database indexing and retrieval,” Multimedia Tools and Applications, vol. 4, no. 1, pp. 29–56, 1997. View at: Publisher Site | Google Scholar
  17. B. K. P. Horn and B. G. Schunck, “Determining optical flow,” Artificial Intelligence, vol. 17, no. 1–3, pp. 185–203, 1981. View at: Publisher Site | Google Scholar
  18. D. J. Watts and S. H. Strogatz, “Collective dynamics of ‘small-world’ networks,” Nature, vol. 393, no. 6684, pp. 440–442, 1998. View at: Publisher Site | Google Scholar
  19. B. H. Bloom, “Space/time trade-offs in hash coding with allowable errors,” Communications of the ACM, vol. 13, no. 7, pp. 422–426, 1970. View at: Publisher Site | Google Scholar
  20. J. MacQueen, “Some methods for classification and analysis of multivariate data,” in Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281–297, Berkeley, Calif, USA, 1967. View at: Google Scholar
  21. M. Halkidi, Y. Batistakis, and M. Vazirgiannis, “On clustering validation techniques,” Journal of Intelligent Information Systems, vol. 17, no. 2-3, pp. 107–145, 2001. View at: Publisher Site | Google Scholar
  22. N. R. Pal and J. C. Bezdek, “On cluster validity for the fuzzy c-means model,” IEEE Transactions on Fuzzy Systems, vol. 3, no. 3, pp. 370–379, 1995. View at: Publisher Site | Google Scholar
  23. C. Ordonez, “Clustering binary data streams with K-means,” in Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD '03), pp. 12–19, San Diego, Calif, USA, June 2003. View at: Publisher Site | Google Scholar
  24. S. Kirkpatrick, C. D. Gelatt Jr., and M. Vecchi, “Optimization by simulated annealing,” Science, vol. 220, no. 4598, pp. 671–680, 1983. View at: Publisher Site | Google Scholar
  25. M. Ripeanu, A. Iamnitchi, and I. Foster, “Mapping the Gnutella network,” IEEE Internet Computing, vol. 6, no. 1, pp. 50–57, 2002. View at: Google Scholar
  26. S. Saroiu, P. K. Gummadi, and S. D. Gribble, “Measurement study of peer-to-peer file sharing systems,” in Multimedia Computing and Networking, vol. 4673 of Proceedings of SPIE, pp. 156–170, San Jose, Calif, USA, January 2002. View at: Publisher Site | Google Scholar
  27. S. Sen and J. Wang, “Analyzing peer-to-peer traffic across large networks,” IEEE/ACM Transactions on Networking, vol. 12, no. 2, pp. 219–232, 2004. View at: Publisher Site | Google Scholar
  28. L. Gatani, G. Lo Re, and L. Noto, “Efficient query routing in peer-to-peer networks,” in Proceedings of the 3rd International Conference on Information Technology: Research and Education (ITRE '05), pp. 393–397, Hsinchu, Taiwan, June 2005. View at: Publisher Site | Google Scholar
  29. E. P. Markatos, “Tracing a large-scale peer-to-peer system: an hour in the life of Gnutella,” in Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid '02), pp. 65–74, Berlin, Germany, May 2002. View at: Publisher Site | Google Scholar
  30. C. Faloutsos, R. Barber, M. Flickner et al., “Efficient and effective querying by image content,” Journal of Intelligent Information Systems, vol. 3, no. 3-4, pp. 231–262, 1994. View at: Publisher Site | Google Scholar
  31. R. W. Picard, “Computer learning of subjectivity,” ACM Computing Surveys, vol. 27, no. 4, pp. 621–623, 1995. View at: Publisher Site | Google Scholar

Copyright © 2007 E. Ardizzone et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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