BilVideo: A Video Database Management System
BilVideo: A Video Database Management System
复制标题
BilVideo：视频数据库管理系统
DOI：
10.1109/mmul.2003.1167924
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
U. Güdükbay
中科院分区：
文献类型：
--
作者：
M. E. Dönderler;E. Saykol;Ö. Ulusoy;U. Güdükbay
BilVideo视频数据库管理系统为视频的时空和语义查询提供了集成支持。知识库由事实库和在Prolog中实现的综合规则集组成，用于处理时空查询。这些查询包含与方向、拓扑、3D关系、对象外观、轨迹投影和基于相似性的对象轨迹相关的任何条件组合。知识库中的规则大大减少了系统需要存储的表示时空关系的事实数量。存储在对象-关系数据库管理系统中的特征数据库处理语义查询。为了响应同时包含时空和语义条件的用户查询，查询处理器与知识库和对象关系数据库交互，并集成从这两个系统组件返回的结果。由于篇幅限制，我们只讨论基于web的可视化查询接口及其事实提取器和视频注释器工具。这些工具填充系统的事实库和特征数据库，以支持这两种查询类型。
The BilVideo video database management system provides integrated support for spatiotemporal and semantic queries for video. A knowledge base, consisting of a fact base and a comprehensive rule set implemented in Prolog, handles spatio-temporal queries. These queries contain any combination of conditions related to direction, topology, 3D relationships, object appearance, trajectory projection, and similarity-based object trajectories. The rules in the knowledge base significantly reduce the number of facts representing the spatio-temporal relations that the system needs to store. A feature database stored in an object-relational database management system handles semantic queries. To respond to user queries containing both spatio-temporal and semantic conditions, a query processor interacts with the knowledge base and object-relational database and integrates the results returned from these two system components. Because of space limitations, we only discuss the Web-based visual query interface and its fact-extractor and video-annotator tools. These tools populate the system's fact base and feature database to support both query types.