Operational BI platform for video analytics
Qiming Chen, Meichun Hsu, Rui Liu, Tao Yu, Qinghu Li, Weihong Wang · 2009
Video analytics is a data-intensive and knowledge-rich computation chain from collected video frames to high-level scene and behavior descriptions. The platform separation of video storage and video analysis, as it is now, has become the major bottleneck for scalability, efficiency and effectiveness of video analysis. We solve this problem by (a) completely pushing down video analysis computation to the database engine for fast data access and reduced data transfer; (b) systematically managing domain knowledge and context information, and consistently applying them to video analysis; (c) combining multilevel, multidimensional analytics with data loading for "just-in-time" meta-data materialization; (d) supporting analytical data streaming by database engine, towards a new paradigm for Operational Business Intelligence (OpBI). An OpBI system integrates the management of data, knowledge and analytics programs, along the canonical "eco-chain" of information abstraction, derivation, induction, and feedback.