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Extracting Event Semantics from Video Data Based on Real World Database

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Advances in Database Technologies (ER 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1552))

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Abstract

Video is considered the most effective medium for capturing events. There are two major approaches of representing video contents: the structured modeling approach and stratification. They require video to be divided into simple semantic units on top of which some structures are built to express high-level video semantics. Text is used to describe the necessary semantic units. A major problem of such an approach is that the descriptions tend to be incomplete and subjective. In addition, segmenting video sequences and describing their semantic contents is a tedious task.

In the present paper we define some low-level semantic primitives that can be detected automatically and are “semantics-free” from the viewpoint of event semantics. Further, we offer a methodology for describing event semantics and deriving it from the low-level primitives. We describe a prototype system based on the methodology and offer schema for its implementation based on the Real World Database. Our approach reduces the problem of video segmenting to simply performing a database query.

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References

  1. Arisawa, H., Tomii, T., Yui, H., Ishikawa, H.: Data Model and Architecture of Multimedia Database for Engineering Applications. IEICE Trans. Inf. & Syst., Vol. E78-D No. 11 (1995.11) 1362–1368

    Google Scholar 

  2. Arisawa, H., Tomii, T., Salev, K.: Design of Multimedia Database and a Query Language for Video Image Data. Proceedings of the IEEE International Conference on Multimedia Computing and Systems in Hiroshima, Japan (1996. 6) 462–467

    Google Scholar 

  3. Arisawa, H.: Considerations on Real World Data Modeling. IEICE Technical Report Vol. 96, No. 54, DE96–4 (1996) 19–24 (in Japanese)

    Google Scholar 

  4. Auguierre-Smith, T. G., Pincever, N. C.: Parsing Movies in Context. Proceedings of USENIX (1991) 157–168

    Google Scholar 

  5. Chen, P. P.: The Entity-Relationship Model Toward a Unified View of Data. ACM Trans. on Database Systems Vol. 1, No. 1 (1976) 1–49

    Article  Google Scholar 

  6. Chua, T. S., Ruan, L. Q.: A Video Retrieval and Sequencing System. ACM Transactions on Information Systems Vol. 13, No. 4 (1995. 10) 373–407

    Article  Google Scholar 

  7. Dimitrova, N., Golshani, F.: Motion Recovery for Video Content Classification. ACM Transactions on Information Systems Vol. 13, No. 4 (1995. 10) 408–439

    Article  Google Scholar 

  8. Goddard, N.: The Perception of Articulated Motion: Recognizing Moving Light Displays. Ph.D. Thesis, Univ. of Rochester, Rochester, N.Y. (1992)

    Google Scholar 

  9. Imai, S., Salev, K., Tomii, T., Arisawa, H.: Modeling of Working Processes and Working Simulation Based on Info-Ergonomics and Real World Database Concept. Proceedings of the 1998 Japan-USA Symposium on Flexible Automation (1998.7) 147–156

    Google Scholar 

  10. Johansson, G.: Spatio-Temporal Differentiation and Integration in Visual Motion Perception. Psychol. Res. Vol. 38, No. 4 (1976) 379–393

    Article  Google Scholar 

  11. Li, J. Z., Özsu, M. T., Szafron, D.: Modeling of Moving Objects in a Video Database. Proceedings of the IEEE International Conference on Multimedia Computing and Systems in Ottawa, Canada (1997. 6) 336–343

    Google Scholar 

  12. Little, T. D. C., Ghafoor, A.: Interval-Based Conceptual Models For Time-Dependent Multimedia Data. IEEE Trans. on Knowledge and Data Engineering Vol. 5, No. 4 (1993) 551–563

    Article  Google Scholar 

  13. Nagasaka, A., Tanaka, Y.: Automatic Video Indexing and Full-Video Search for Object Appearances. Visual Database Systems Vol. 2, Elsevier Science Publishers, B. V., Amsterdam (1992)

    Google Scholar 

  14. Okui, H., Okamoto, Y., Imai, S., Tomii, T., Arisawa, H.: Motion Analysis for Designing Factory Work Database Based on Video Data. IPSJ SIG Notes Vol.98, No.58, 98-DBS-116(2) (1998. 7) 241–248 (in Japanese)

    Google Scholar 

  15. Ruan, L. G., Smoliar, S. W., Kankanhalli, A.: An Analysis of Low-Resolution Segmentation Techniques for Animate Video. Proceedings of the 2nd International Conference on Automation, Robotics and Computer Vision, Singapore, CV-16.3 (1992. 9) 1–5

    Google Scholar 

  16. Rubin, B., Davenport, G.: Structured Content Modeling for Cinematic Information. SIGCHI Bull. 21, 2 (1989) 78–79

    Article  Google Scholar 

  17. Tonomura, Y.: Video Handling Based on Structured Information for Hypermedia Systems. Proceedings of the International Conference on Multimedia Information Systems, Singapore (1991) 333–344

    Google Scholar 

  18. Vazirgiannis, M., Boll, S.: Events in Interactive Multimedia Applications: Modeling and Implementation Design. Proceedings of the IEEE International Conference on Multimedia Computing and Systems in Ottawa, Canada (1997.6) 244–251

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Division of Electrical and Computer Engineering, Faculty of Engineering, Yokohama National University, Japan

    Kiril Salev, Takashi Tomii & Hiroshi Arisawa

Authors
  1. Kiril Salev
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  2. Takashi Tomii
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  3. Hiroshi Arisawa
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Dept. of Social Informatics, Kyoto University, 606-8501, Yoshida Sakyo Kyoto, Japan

    Yahiko Kambayashi

  2. Dept. of Computer Science Clear Water Bay, Hong Kong University of Science and Technology, Hong Kong, China

    Dik Lun Lee

  3. School of Applied Science, Nanyang Technological University, N4-2A-12, Nanyang Avenue, 639798, Singapore

    Ee-Peng Lim

  4. School of Computer and Information Science The Levels Campus, University of South Australia, Mawson Lakes, 5095, S.A., Australia

    Mukesh Kumar Mohania

  5. Faculty of Science, Dept. of Information Sciences, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan

    Yoshifumi Masunaga

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© 1999 Springer-Verlag Berlin Heidelberg

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Salev, K., Tomii, T., Arisawa, H. (1999). Extracting Event Semantics from Video Data Based on Real World Database. In: Kambayashi, Y., Lee, D.L., Lim, EP., Mohania, M.K., Masunaga, Y. (eds) Advances in Database Technologies. ER 1998. Lecture Notes in Computer Science, vol 1552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49121-7_49

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  • DOI: https://doi.org/10.1007/978-3-540-49121-7_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65690-6

  • Online ISBN: 978-3-540-49121-7

  • eBook Packages: Springer Book Archive

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