Video Analysis and Dynamic Event Recognition (VADER) Engine

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,999.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-09-C-0471
Award Id:
91743
Agency Tracking Number:
08SB2-0419
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
DECISIVE ANALYTICS CORP. (Currently DECISIVE ANALYTICS CORPORATION)
1235 South Clark Street, Suite 400, Arlington, VA, 22202
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
036593457
Principal Investigator:
Bruce Swett
Senior Scientist/Engineer
(703) 414-5098
bruce.swett@dac.us
Business Contact:
Kelly McClelland
Director, Corporate Business Office
(703) 414-5024
kelly.mcclelland@dac.us
Research Institution:
n/a
Abstract
The proliferation of the battlefield with UAVs and stationary cameras has created a virtual mountain of video data. Some of that data gets analyzed thoroughly, but most does not. It is simply archived away. Buried within this mountain of video data is a virtual treasure trove of valuable intelligence that currently cannot be easily retrieved. New, advanced wide area sensors and the increasing deployment of UAVs and ground-based cameras are accelerating the growth of our archives, causing more and more of this valuable intelligence to go unutilized. The key to providing a robust video search capability is in the ability to accurately represent the content of the video in a compact, meaningful form that can be understood both by analysts and the software algorithms that will be used for rapid search and comparison. This requires both the ability to massively reduce the dimensionality of the content and the ability to represent it in a format that supports rapid search. To meet this challenge, DECISIVE ANALYTICS Corporation will leverage our on-going research in video exploitation algorithms and probabilistic relationship modeling to augment a cutting edge video pattern recognition technique to address the challenges associated with a content-based video query paradigm.

* information listed above is at the time of submission.

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