VTApi: An Efficient Framework for Computer Vision Data Management and Analytics

被引：0
|
作者：
Chmelar, Petr [1 ]
Pesek, Martin [1 ]
Volf, Tomas [1 ]
Zendulka, Jaroslav [1 ,2 ]
Froml, Vojtech [1 ]
机构：
[1] Brno Univ Technol, Fac Informat Technol, Bozetechova 1-2, Brno 61266, Czech Republic
[2] Brno Univ Technol, Ctr Excellence IT4Innovat, Brno 61266, Czech Republic
来源：
ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, ACIVS 2013 | 2013年 / 8192卷
关键词：
VTApi; computer vision; data management; similarity search; clustering; API; methodology; spatio-temporal; MULTIMEDIA;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：378 / 388
页数：11
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