KEYWORDS: Video, Sensors, Video surveillance, Data storage, Image fusion, Data fusion, Image segmentation, Semantic video, Control systems, Data modeling
A prototype Video Imagery Ontology has been developed to
derive video imagery intelligence, VideoIMINT. The ontology includes
the development of classes and properties to address video image
content, and video collection metadata related to platforms, sensors and
collection operations. Preliminary feature extraction of video imagery
content classes was functionally utilized to identify important video
segments in an integrated viewer. Integrated data storage systems and
fusion processes are also discussed.
Imagery Exploitation is an area of considerable importance for the Intelligence community. Collection capabilities continue to deliver larger and more accurate data across modalities while having significant impacts throughout the image chain. Additionally, multi- and hyper-spectral data sources will heavily burden processing, storage, exploitation, and dissemination architectures. This paper addresses three specific areas of concern: The need to exploit this large amount of imagery, in a timely manner, to support Intelligence Objectives The need to quickly and accurately integrate geospatial information with intelligence information Management and maintenance of the community's corporate history regarding critical targets and entities This paper presents the Target Exploitation Analysis and Management System (TEAMS), a shared analyst's softcopy exploitation environment that improves analysis and exploitation performance of multi-modal imagery in a collaborative, Work Group environment. TEAMS integrate Information Management technologies with Knowledge Management tools to capture and correlate the knowledge that exists within a group. Object-based data stores and a contextually driven ontology capture issues specific to the workgroup. This approach is successful because it focuses on specific exploitation tasks within a work-group environment, reducing workloads to the mission-applicable information while maintaining an interface to the entire intelligence community.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.