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Issue No.04 - October-December (2010 vol.17)
pp: 80-88
Lamberto Ballan , University of Florence, Italy
Marco Bertini , University of Florence, Italy
Alberto Del Bimbo , University of Florence, Italy
Giuseppe Serra , University of Florence, Italy
ABSTRACT
<p>An approach for automatic annotation and retrieval of video content uses semantic concept classifiers and ontologies to permit expanded queries to synonyms and concept specializations.</p>
INDEX TERMS
automatic video annotation, video retrieval, ontologies, SWRL, Semantic Web
CITATION
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo, Giuseppe Serra, "Video Annotation and Retrieval Using Ontologies and Rule Learning", IEEE MultiMedia, vol.17, no. 4, pp. 80-88, October-December 2010, doi:10.1109/MMUL.2010.4
REFERENCES
1. M. Everingham et al., "The PASCAL Visual Object Classes Challenge 2009 (VOC) Results," 2009; http://www.pascal-network.org/challenges/ VOC/voc2009/workshopindex.html.
2. A.F. Smeaton, P. Over, and W. Kraai, High-Level Feature Detection from Video in Trecvid: A 5-Year Retrospective of Achievements, Springer Verlag, 2009.
3. A. Hauptmann et al., "Can High-Level Concepts Fill the Semantic Gap in Video Retrieval? A Case Study with Broadcast News," IEEE Trans. Multimedia, vol. 9, no. 5, 2007, pp. 958-966.
4. J. Yang and A. Hauptmann, "(Un)reliability of Video Concept Detection," Proc. ACM Int'l Conf. Image and Video Retrieval, ACM Press, 2008, pp. 85-94.
5. J.R. Quinlan, "Learning Logical Definitions from Relations," Machine Learning, vol. 5, no. 3, 1990, pp. 239-266.
6. Z.-J. Zha et al., "Building a Comprehensive Ontology to Refine Video Concept Detection," Proc. ACM Int'l Workshop Multimedia Information Retrieval, ACM Press, 2007, pp. 227-236.
7. K.-H. Liu et al., "Association and Temporal Rule Mining for Post-Filtering of Semantic Concept Detection in Video," IEEE Trans. Multimedia, vol. 10, no. 2, 2008, pp. 240-251.
8. A.D. Bagdanov et al., "Improving the Robustness of Particle Filter-Based Visual Trackers Using Online Parameter Adaptation," Proc. IEEE Int'l Conf. Advanced Video and Signal Based Surveillance, IEEE Press, 2007, pp. 218-223.
9. C. Snoek et al., "The Challenge Problem for Automated Detection of 101 Semantic Concepts in Multimedia," Proc. ACM Multimedia, ACM Press, 2006, pp. 421-430.
10. L. Kennedy, Revision of LSCOM Event/Activity Annotations, DTO Challenge Workshop on Large Scale Concept Ontology for Multimedia, Advent technical report #221-2006-7, Columbia Univ., 2006.
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