Modeling and Structuring Multiple Perspective Video for Browsing
Recently, MPV(multiple perspective video) has become popular because of recent advancement in digital video technologies. Actually, video surveillance is currently a big application of MPV. In the case of the usage of a lot of video cameras, human’s keyword annotation is a tedious task, and automatic image recognition techniques takes an expensive cost to find what are taken in the MPV. Therefore, we need an effective way of capturing camare metadata and sharing annotation information among MPV data. In this paper, we propose a way of modeling and structuring MPV data based on several semantic relationships for browsing and retrieval.
KeywordsVideo Data Semantic Relationship Video Object Annotation Information Video Database
Unable to display preview. Download preview PDF.
- 2.T. Hata, T. Hirose, Y. Nakanishi, K. Tanaka. “Querying Multiple Perspective Video by Camera Metaphor”. Proc. of 7th International Conference on Database Systems for Advanced Applications (DASFAA, Hong Kong, April 18-20, 2001.Google Scholar
- 3.R. Hjelsvold, R. Midtstraum, and O. Sandst. “Searching and Browsing a Shared Video Database”. Multimedia Database Systems. Design and Implementation Strategies. chapter 4. Kluwer Academic Publishers, 1996.Google Scholar
- 8.S. Pradhan, K. Tajima, and K. Tanaka. “Interval Glue Operations and Answer Filtering for Video Retrieval”. IPSJ Transactions on Databases, vol.40, no.SIG3:80–90, February 1999.Google Scholar
- 9.S. Pradhan, K. Tajima, and K. Tanaka. “A Query Model to Synthesize Answer Intervals from Indexed Video Units”. to appear in IEEE Transactions on Knowledge and Database Systems. Vol. 13, No. 6, Nov/Dec 2001.Google Scholar
- 12.M. Yeung, B. Yeo, and B. Liu. “Extracting Story Units from Long Programs for Video Browsing and Navigation”. In International Conference on Multimedia Computing and Systems, pages 296–305, June 1996.Google Scholar
- 13.S.K. Bhonsle, A. Gupta, S. Santini, R. Jain. “Semiorder Database for Complex Activity Recognition in Multi-Sensory Environment” Proc. ICDE2000, pp.689–691, March 2000.Google Scholar