Classified ranking of semantic content filtered output using self-organizing neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4132 LNCS - II, Issue , 2006, Pages 55-64

  Angelides, Marios ^a   Sofokleous, Anastasis ^a   Parmar, Minaz ^a  

^a BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; KNOWLEDGE ACQUISITION; OPTICAL FILTERS; SEMANTICS; VIDEO RECORDING;

SELF ORGANIZING NETWORKS; SEMANTIC CONTENT MODELS; VIDEO SEGMENTS;

NEURAL NETWORKS;

EID: 33749837306     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_6     Document Type: Conference Paper

References (15)

1. Angelides, M.C. and Agius, H.W., An MPEG-7 Scheme for Semantic Content Modeling and Filtering of Digital Video, ACM Multimedia Systems (2006)
2. ISO/IEC: Information Technology -Multimedia Content Description Interface - Part 5: Multimedia Description Schemes. Geneva, Switzerland, International Organisation for Standardisation (2002)
3. Koprinska, I. and Carrato,S., Temporal video segmentation: A survey, Signal Processing: Image Communication, 2001/1, 16, 5, 477-500
4. J. Assfalg, M. Bertini, C. Colombo and A.D. Bimbo, "Semantic annotation of sports videos," Multimedia, IEEE, vol. 9, pp. 52-60, Apr-Jun. 2002. Available: http://doi.ieeecomputersociety.org/10.1109/93.998060
5. R. Troncy, "Integrating Structure and Semantics into Audio-visual Documents", In Proc. of 2nd International Semantic Web Conference (ISWC), 20-23 October 2003, Sanibel Island, Florida, USA, pp 566-581 (2003)
6. T. Tran-Thuong and C. Roisin, "A multimedia model based on structured media and sub-elements for complex multimedia authoring and presentation," IJSEKE, vol. 12, pp. 473-500, 2002.
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)
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, p. 393. Portland, Oregon (2002)
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)
10. Eirinaki, M., Vazirgiannis, M.: Web mining for web personalization. ACM Trans. Internet Technol. 3(1), 1-27 (2003)
11. M. Lee, P. Choi and Y.E.-. Woo, A Hybrid Recommender System Combining Collaborative Filtering with Neural Network, In Adaptive Hypermedia and Adaptive Web-Based Systems: Second International Conference (AH 2002), Malaga, Spain, vol. 2347, pp 531-534 (2002).
12. Novak, J., Wurst, M., Fleischmann, M., Strauss, W.: Discovering, Visualizing and Sharing Knowledge through Personalized Learning Knowledge Maps, 2003 Spring Symposium on Agent-Mediated Knowledge Management, Technical Report SS-03-01, Stanford University, (2003), 101-108
13. Tan A-H, Pan H (2002) Adding personality to information clustering. Proceedings of the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp 251-256.
14. Ultsch A. Self Organizing Neural Networks perform different from statistical k-means clustering. In Proceedings of GfKl,(1995), Basel, Swiss
15. Santosh K. Rangarajan, Vir V. Phoha, Kiran S. Balagani, Rastko R.Selmic, S.S. Iyengar, Adaptive Neural Network Clustering of Web Users. Computer, (2004) vol. 37, no.4, pp. 34-40