Abstract: The present invention is a video surveillance, storage, and alerting system having the following components. One or more surveillance cameras capture video data having attribute data, the attribute data representing importance of the surveillance cameras. One or more video analytics devices process the video data from one or more of the surveillance cameras and detect primitive video events in the video data. A network management module monitors network status of the surveillance cameras, and the video analytics devices, and generates network events reflective of the network status of all subsystems. A correlation engine correlates two or more primitive video events from the video analytics devices weighted by the attribute data of the surveillance cameras used to capture the video data, and network events from the network management module weighted by attribute data of device corresponding to the network event.

Abstract: A method and system for intelligent monitoring and intelligent alerting. One or more data inputs are received from one or more systems. A weight is attributed to each data input based on the data input, the source of the data input, and other factors. One or more video inputs are received from one or more video sources. Image analysis is performed on the video data to determine one or more video parameters. The video parameters are assigned one or more weights based on the video source and other factors. A series of rules are evaluated using the data inputs, the video inputs, and their respective weights. An associated action is performed for each rule that is activated. The present invention may be used for various security and safety purposes, including fighting crime, detecting and preventing terrorist activity, and ensuring safety procedures are followed.

Abstract: One embodiment is a method of storing video data from a video surveillance system having one or more cameras. Video data is captured from one or more surveillance cameras. Meta-data is automatically generated by performing video analysis on the captured video data from the surveillance cameras. A human operator may manually enter additional meta-data. Attribute data and associated weights, representing information about the relevance of the meta-data, is received. The video data is stored in a hierarchical video storage area; the meta-data, indexed by date and time stamp to the video data, is stored in a meta-data storage area; and the attribute data is stored in an attribute storage area. One or more alerts may be issued based on the past and present meta-data. The video data is secured by encrypting and storing the video data remotely, and audit trails are generated about who and when viewed the video data.