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International Conference on Artificial Neural Networks

ICANN 2006: Artificial Neural Networks – ICANN 2006 pp 55–64Cite as

Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4132))

Abstract

Cosmos-7 is an application that can create and filter MPEG-7 semantic content models with regards to objects and events, both spatially and temporally. The results are presented as numerous video segments that are all relevant to the user’s consumption criteria. These results are not ranked to the user’s ranking of relevancy, which means the user must now laboriously sift through them. Using self organizing networks we rank the segments to the user’s preferences by applying the knowledge gained from similar users’ experience and use content similarity for new segments to derive a relative ranking.

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References

  1. Angelides, M.C., Agius, H.W.: An MPEG-7 Scheme for Semantic Content Modeling and Filtering of Digital Video. In: ACM Multimedia Systems (2006)

    Google Scholar 

  2. ISO/IEC: Information Technology −Multimedia Content Description Interface – Part 5: Multimedia Description Schemes. Geneva, Switzerland, International Organisation for Standardisation (2002)

    Google Scholar 

  3. Koprinska, I., Carrato, S.: Temporal video segmentation: A survey. Signal Processing: Image Communication 16(5), 477–500 (2001)

    Article  Google Scholar 

  4. Assfalg, J., Bertini, M., Colombo, C., Bimbo, A.D.: Semantic annotation of sports videos. Multimedia, IEEE 9, 52–60 (2002), Available, http://doi.ieeecomputersociety.org/10.1109/93.998060

    Article  Google Scholar 

  5. Troncy, R.: Integrating Structure and Semantics into Audio-visual Documents. In: Proc. of 2nd International Semantic Web Conference (ISWC), Sanibel Island, Florida, USA, October 20-23, pp. 566–581 (2003)

    Google Scholar 

  6. Tran-Thuong, T., Roisin, C.: A multimedia model based on structured media and subelements for complex multimedia authoring and presentation. In: IJSEKE, vol. 12, pp. 473–500 (2002)

    Google Scholar 

  7. Wenyin, L., Chen, Z., Lin, F., Zhang, H., Ma, W.-Y.: Ubiquitous media agents: a framework or managing personally accumulated multimedia files. Multimedia Syst. 9(2), 144–156 (2003)

    Article  Google Scholar 

  8. Ferman, A.M., Beek, J.H.E.P.V., Sezan, M.I.: Content-based filtering and personalization using structured metadata. In: Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries, Portland, Oregon, p. 393 (2002)

    Google Scholar 

  9. Wallace, M.S.G.: Towards a context aware mining of user interests for consumption of multimedia documents. In: Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, vol. 1, pp. 733–736 (2002)

    Google Scholar 

  10. Eirinaki, M., Vazirgiannis, M.: Web mining for web personalization. ACM Trans. Internet Technol. 3(1), 1–27 (2003)

    Article  Google Scholar 

  11. Lee, M., Choi, P., Woo, Y.E.: A Hybrid Recommender System Combining Collaborative Filtering with Neural Network. In: De Bra, P., Brusilovsky, P., Conejo, R. (eds.) AH 2002. LNCS, vol. 2347, pp. 531–534. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  12. Novak, J., Wurst, M., Fleischmann, M., Strauss, W.: Discovering, Visualizing and Sharing Knowledge through Personalized Learning Knowledge Maps, Spring Symposium on Agent-Mediated Knowledge Management, Technical Report SS-03-01, Stanford University, pp. 101-108 (2003)

    Google Scholar 

  13. Tan, A.-H., Pan, H.: Adding personality to information clustering. In: Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 251–256 (2002)

    Google Scholar 

  14. Ultsch, A.: Self Organizing Neural Networks perform different from statistical k-means clustering. In: Proccedings of GfKl, Basel, Swiss (1995)

    Google Scholar 

  15. Rangarajan, S.K., Phoha, V.V., Balagani, K.S., Selmic, R.R., Iyengar, S.S.: Adaptive Neural Network Clustering of Web Users. Computer 37(4), 34–40 (2004)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Brunel University, Uxbridge, London, UK

    Marios Angelides, Anastasis Sofokleous & Minaz Parmar

Authors
  1. Marios Angelides
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  2. Anastasis Sofokleous
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  3. Minaz Parmar
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Editor information

Editors and Affiliations

  1. School of Electrical and Computer Engineering, Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, 157 80, Zographou, GR, Greece

    Stefanos Kollias

  2. Department of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zographou, Greece

    Andreas Stafylopatis

  3. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  4. Adaptive Informatics Research Centre, Helsinki University of Technology, P.O. Box 5400, 02015, HUT, Finland

    Erkki Oja

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Angelides, M., Sofokleous, A., Parmar, M. (2006). Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840930_6

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  • DOI: https://doi.org/10.1007/11840930_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38871-5

  • Online ISBN: 978-3-540-38873-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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