Abstract: A meta data management system for use with a surveillance system includes a user interface that allows users to define rules to manage meta data from distributed devices. An application programming interface provides an application access to system data and control information. A mechanism allows the application to transparently and seamlessly integrate with different types of databases by transparently allocating and searching the data that are physically distributed at different devices.

Abstract: An associative vector storage system has an encoding engine that takes input vectors, and generates transformed coefficients for a tunable number of iterations. Each iteration performs a complete transformation to obtain coefficients, thus performing a process of iterative transformations. The encoding engine selects a subset of coefficients from the coefficients generated by the process of iterative transformations to form an approximation vector with reduced dimension. A data store stores the approximation vectors with a corresponding set of meta data containing information about how the approximation vectors are generated. The meta data includes one or more of the number of iterations, a projection map, quantization, and statistical information associated with each approximation vector. A search engine uses a comparator module to perform similarity search between the approximation vectors and a query vector in a transformed domain.

Abstract: A metadata database adaptor for use with a surveillance and/or sensor system is capable of adapting metadata messages of varying formats according to needs of metadata databases. In other aspects, a metadata data model template can allow a user to define a data definition that is used to map user defined data with the metadata data model template to form XML data schema. Template mapping knowledge can then be applied for fast XML data schema to non-XML database schema generation without translation processing. In yet other aspects, an application domain template can allow a user to define a query definition that can then be processed with a mapping of the application domain template to translate Xpath, Xquery, or others to a database query.

Abstract: A similarity search engine includes a transformation module performing multiple iterations of transformation on a high dimensional vector data set. A scanning module supports dynamic selection of coefficients generated by the multiple iterations, and store and utilize search results in subsequent search operations. A dynamic query vector tree constructed from one or more input queries enhances search performance using multiple scans. Subsequent scans have a reduced candidate vector set and increased nearest neighbor vectors in a query vector set compared to previous scans.