Structured multimedia document classification

Proceedings of the 2003 ACM Symposium on Document Engineering

Volumn , Issue , 2003, Pages 153-160

  Denoyer, Ludovic ^a   Vittaut, Jean Noël ^a   Gallinari, Patrick ^a   Brunessaux, Sylvie ^b   Brunessaux, Stephan ^b  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^b AIRBUS GROUP INNOVATIONS   (Germany)

Author keywords

Bayesian Networks; Categorization; Generative Model; Multimedia Document; Statistical Machine; Structured Document; Web Page Filtering

Indexed keywords

ELECTRONIC MAIL; HTML; INFORMATION ANALYSIS; PROBLEM SOLVING; PROGRAM DOCUMENTATION; WORLD WIDE WEB;

BAYESIAN NETWORKS; CATEGORIZATION; GENERATIVE MODEL; MULTIMEDIA DOCUMENT; STATISTICAL MACHINE; STRUCTURED DOCUMENT; WEB PAGE FILTERING;

MULTIMEDIA SYSTEMS;

EID: 3543090968     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/958220.958249     Document Type: Conference Paper

References (19)

1. Netprotect project page, 2001. Available as http://www.netprotect.org/.
2. K. Barnard and D. Forsyth. Learning the semantics of words and pictures. In Proc. 8th Int. Conference on Computer Vision, volume 2, pages 408-415, 2001.
3. K. Barnard, M. Johnson, and D. Forsyth. Word sense disambiguation with pictures. In Workshop on learning word meaning from non-linguistic data, 2003.
4. M. L. Cascia, S. Sethi, and S. Sclaroff. Combining textual and visual cues for content-based image retrieval on the world wide web. In Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, June 1998.
5. Y. Chan, R. Harvey, and D. Smith. Building systems to block pornography. In Challenge of Image Retrieval, 1999.
6. L. Denoyer and P. Gallinari. A belief networks-based generative model for structured documents. An application to the XML categorization. In MLDM 2003, 2003.
7. L. Denoyer and P. Gallinari. Using Belief Networks and Fisher Kernels for structured document classification. In PKDD 2003, 2003.
8. M. Diligenti, M. Gori, M. Maggini, and F. Scarselli. Classification of HTML documents by Hidden Tree-Markov Models. In 6th International Conference on Document Analysis and Recognition, Seattle, WA, USA, Aug. 2001.
9. S. T. Dumais and H. Chen. Hierarchical classification of Web content. In N. J. Belkin, P. Ingwersen, and M.-K. Leong, editors, Proceedings of SIGIR-00, 23rd ACM International Conference on Research and Development in Information Retrieval, pages 256-263, Athens, GR, 2000. ACM Press, New York, US.
10. T. Joachims. Text categorization with support vector machines: learning with many relevant features. In C. Nédellec and C. Rouveirol, editors, Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398, pages 137-142, Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE.
11. M. J. Jones and J. M. Rehg. Detecting adult images. Technical report, 2002.
12. D. D. Lewis. Representation and learning in information retrieval PhD thesis, Department of Computer Science, University of Massachusetts, Amherst, US, 1992.
13. D. D. Lewis. Naive (Bayes) at forty: The independence assumption in information retrieval. In C. Nédellec and C. Rouveirol, editors, Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398, pages 4-15, Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE.
14. M. Ortega, K. Porkaew, and S. Mehrotra. Information retrieval over multimedia documents. In the SIGIR Post-Conference Workshop on Multimedia Indexing and Retrieval (ACM SIGIR), 1999.
15. B. Piwowarski, L. Denoyer, and P. Gallinari. Un modèle pour la recherche d'information sur des documents structurés. In 6èmes Journées internationales d'Analyse statistique des Données Textuelles (JADT 2002), Saint-Malo, France, Mar. 2002.
16. F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1), 2002.
17. Tree. Text REtrieval Conference (tree 2001), National Institute of Standards and Technology (NIST).
18. Y. Yang, S. Slattery, and R. Ghani. A study of approaches to hypertext categorization. Journal of Intelligent Information Systems, 18(2-3):219-241, 2002.
19. J. Yi and N. Sundaresan. A classifier for semi-structured documents. In Proc. Conf. Knowledge Discovery in Data, pages 190-197, 2000.