Building a comprehensive ontology to refine video concept detection

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2007, Pages 227-236

  Zha, Zheng Jun ^a   Mei, Tao ^b   Wang, Zengfu ^a   Hua, Xian Sheng ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Concept property; Hierarchical relation; Ontology; Pairwise correlation; Video concept detection

Indexed keywords

HIERARCHICAL SYSTEMS; KNOWLEDGE ACQUISITION; ONTOLOGY; SEMANTICS;

HIERARCHICAL RELATION; PAIRWISE CORRELATION; VIDEO CONCEPT DETECTION;

VIDEO STREAMING;

EID: 37848999908     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1290082.1290114     Document Type: Conference Paper

References (22)

1. MPEG Group, MPEG-7 (Multimedia Content Description Interface). http://www.chiariglione.org/mpeg/index.htm.
2. TRECVID: TREC Video Retrieval Evaluation. http://www-nlpir.nist. gov/projects/trecvid/.
3. The Getty Foundation: AAT: Art and Architecture Thesaurus. http://www.getty.edu/research/conducting_research/vocabularies/aat/.
4. OWL Web Ontology Lauguage Overview. http://www.w3.org/TR/owl- features/.
5. A. Amir, M. Berg, S.-F. Chang, G. Iyengar, C.-Y. Lin, A. Natsev, C. Neti, H. Nock, M. Naphade, W. Hsu, J. R. Smith, B. Tseng, Y. Wu, and D. Zhang. Ibm research trecvid-2003 video retrieval system. In TRECVID 2003 Workshop, Gaithersburg, MD, November 2003.
6. M. Ashburner, C. A. Ball, J. A. Blake, D. Botstein, H. Butler, J. M. Cherry, A. P. Davis, K. Dolinski, S. S. Dwight, J. T. Eppig, M. A. Harris, D. P. Hill, L. Issel-Tarver, A. Kasarskis, S. Lewis, J. C. Matese, J. E. Richardson, M. Ringwald, G. M. Rubin, and G. Sherlock. Gene ontology: tool for the unification of biology. the gene ontology consortium. Nature Genetics, 25(1):25-29, May 2000.
7. M. Bertini, A. D. Bimbo, and C. Torniai. Automatic video annotation using ontologies extended with visual information. In MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia, pages 395-398, New York, NY, USA, 2005. ACM Press.
8. S. Bloehdorn, K. Petridis, C. Saathoff, N. Simou, V. Tzouvaras, Y. Avrithis, S. Handschuh, Y. Kompatsiaris, S. Staab, and M. G. Strintzis. Semantic annotation of images and videos for multimedia analysis, volume 3532 of Lecture Notes in Computer Science, pages 592-607. Springer, MAY 2005.
9. C. DeCoro, Z. Barutcuoglu, and R. Fiebrink. Bayesian aggregation for hierarchical genre classification. In International Symposium on Music Information Retrieval, 2007.
10. C. D. Fellbaum. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA, 1998.
11. G. Harit, S. Chaudhury, and H. Ghosh. Using multimedia ontology for generating conceptual annotations and hyperlinks in video collections. In Web Intelligence, pages 211-217, 2006.
12. R. A. Horn and C. R. Johnson. Matrix Analysis. Cambridge University Press, 1999.
13. H. Luo and J. Fan. Building concept ontology for medical video annotation. In MULTIMEDIA '06: Proceedings of the 14th annual A CM international conference on Multimedia, pages 57-60, New York, NY, USA, 2006. ACM Press.
14. T. K. Moon. The expectation-maximization algorithm. Signal Processing Magazine, IEEE, 13(6):47-60, 1996.
15. M. Naphade, L. Kennedy, J. R. Kender, S. F. Chang, J. R. Smith, P. Over, and A. Hauptmann. LSCOM-Lite: A light scale concept ontology for multimedia understanding for TRECVID 2005. In Technical Report. RC23612, IBM T.J. Watson Research Center, 2005.
16. M. Naphade, J. R. Smith, J. Tesic, S.-F. Chang, W. Hsu, L. Kennedy, A. Hauptmann, and J. Curtis. Large-scale concept ontology for multimedia. IEEE MultiMedia, 13(3):86-91, 2006.
17. J. R. Smith, M. Naphade, and A. Natsev. Multimedia semantic indexing using model vectors. In ICME '03: Proceedings of the 2003 International Conference on Multimedia and Expo, pages 445-448, Washington, DC, USA, 2003. IEEE Computer Society.
18. C. G. M. Snoek, M. Worring, J. C. van Gemert, J.-M. Geusebroek, and A. W. M. Smeulders. The challenge problem for automated detection of 101 semantic concepts in multimedia. In MULTIMEDIA '06: Proceedings of the 14th annual ACM international conference on Multimedia, pages 421-430, New York, NY, USA, 2006. ACM Press.
19. C. Tsinaraki, P. Polydoros, and S. Christodoulakis. Interoperability support for ontology-based video retrieval applications. In CIVR '04: Proceedings of the 2004 International Conference Image and Video Retrieval, pages 582-591, 2004.
20. Y. Wu, B. L. Tseng, and J. R. Smith. Ontology-based multi-classification learning for video concept detection. In ICME '04: Proceedings of the 2004 International Conference on Multimedia and Expo, pages 1003-1006, 2004.
21. A. Yanagawa, S.-F. Chang, L. Kennedy, and W. Hsu. Columbia university's baseline detectors for 374 lscom semantic visual concepts. Technical report, Columbia University, March 2007.
22. Y. Y. Yao. Information-theoretic measures for knowledge discovery and data mining. In Entropy Measures, Maximum Entropy Principle and Emerging Applications, pages 115-136. Springer, November 2003.