[1. Singh, R., Li, Z., Kim, P., Pack, D., Jain, R., Event-Based Modeling and Processing of Digital Media, Proceedings of the First International Workshop on Computer Vision meets Databases, CVDB 2004, pp. 19-26, (2004).10.1145/1039470.1039478]Search in Google Scholar
[2. François, A.R.J., Nevatia, R., Hobbs, J.R., Bolles, R.C., VERL: An Ontology Framework for Representing and Annotating Video Events, IEEE Multimedia, Vol. 12, No. 4, pp. 76-86, (2005).]Search in Google Scholar
[3. Web Ontology Language Standard, http://www.w3.org/TR/owl2-overview/, access in April, (2015).]Search in Google Scholar
[4. Natarajan, P., Nevatia, R., EDF: A framework for Semantic Annotation of Video, Proceedings of the Tenth IEEE International Conference on Computer Vision, pp. 1876-1876, (2005).]Search in Google Scholar
[5. Ghanem, N., DeMenthon, D., Doermann, D., Davis, L., Representation and recognition of events in surveillance video using Petri nets, Proceedings of workshop on event mining, vol. 7, no. 7, pp. 112, (2004).]Search in Google Scholar
[6. Veeraraghavan, H., Papanikolopoulos, N., Schrater, P., Learning dynamic event descriptions in image sequences, Proceedings of IEEE CVPR’07, pp. 1–6, (2007).10.1109/CVPR.2007.383075]Search in Google Scholar
[7. Joo, S-W, Chellappa, R., Attribute grammar-based event recognition and anomaly detection, Proceedings of CVPRW’06, pp. 107–115, (2006).]Search in Google Scholar
[8. Ramananthan, V., Liang, P., Fei-Fei, L., Video Event Understanding using Natural Language Descriptions, Proceedings of Computer Vision (ICCV), pp. 905 – 912, (2013).10.1109/ICCV.2013.117]Search in Google Scholar
[9. Krausz, B., Herpers, R., Event Detection for Video Surveillance Using an Expert System, Proceeding of the 1st ACM International Workshop on Analysis and Retrieval of Events/Actions and Workflows in Video Streams (AREA 08), pp. 49-56, (2008).10.1145/1463542.1463551]Search in Google Scholar
[10. Li, J. Z., Ozsu, M. T., Szafron, D., Modeling of Video Spatial Relationships in an Object Database Management System, International Workshop on Multi-media Database Management Systems, pp. 124-132, (1996).]Search in Google Scholar
[11. Cattell, R. G. G., Barry, D., Bartels, D., Berler, M., Eastman, J., Gamerman, S., Jordan, D., Springer, A., Strickland, H., Wade, D., The Object Data Standard: ODMG 3.0., Morgan Kaufmann Publishers, San Francisco, CA, ISBN 1-55860-647-5, (2000).]Search in Google Scholar
[12. Forgy, C., Rete: A Fast Algorithm for the Many Pattern/Many Object Pattern Match Problem, In Artificial Intelligence, No. 19, pp. 17–37, (1982).]Search in Google Scholar
[13. Friedman-Hill, E., Jess in Action: Java Rule-Based Systems, Manning Publications, (2003).]Search in Google Scholar
[14. Iordanov, B., HyperGraphDB: A Generalized Graph Database, Web-Age Information Management Lecture Notes in Computer Science Volume 6185, pp. 25-36, (2010).]Search in Google Scholar
[15. Desurmont, X., Hayet, J. B., Delaigle, J. F., Piater, J., Macq, B., TRICTRAC Video Dataset: Public HDTV Synthetic Soccer Video Sequences With Ground Truth, Workshop on Computer Vision Based, Analysis in Sport Environments (CVBASE), pp. 92–100, (2006).]Search in Google Scholar