VTApi: An Efficient Framework for Computer Vision Data Management and Analytics
VTApi is an open source application programming interface designed to fulfill the needs of specific distributed computer vision data and metadata management and analytic systems and to unify and accelerate their development. It is oriented towards processing and efficient management of image and video data and related metadata for their retrieval, analysis and mining with the special emphasis on their spatio-temporal nature in real-world conditions. VTApi is a free extensible framework based on progressive and scalable open source software as OpenCV for high- performance computer vision and data mining, PostgreSQL for efficient data management, indexing and retrieval extended by similarity search and integrated with geography/spatio-temporal data manipulation.
KeywordsVTApi computer vision data management similarity search clustering API methodology spatio-temporal
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- 2.Gelasca, E.D., et al.: CORTINA: Searching a 10 million + images database. Tech. rep. (September 2007), http://vision.ece.ucsb.edu/publications/elisa_VLDB_2007.pdf
- 7.Hellerstein, J.M., Naughton, J.F., Pfeffer, A.: Generalized search trees for database systems. In: VLDB 1995, Zurich, Switzerland, pp. 562–573. Morgan Kaufmann (1995)Google Scholar
- 8.Kosch, H.: Distributed Multimedia Database Technologies: Supported MPEG-7 and by MPEG-21. CRC Press, Boca Raton (2004)Google Scholar
- 10.Smeaton, A.F., Over, P., Kraaij, W.: Evaluation campaigns and trecvid. In: MIR 2006: Proc. of the 8th ACM Int. Workshop on Multimedia Information Retrieval, pp. 321–330. ACM Press, New York (2006)Google Scholar