Context-sensitive Content Extraction and Scene Understanding

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,929.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
N00014-07-M-0287
Agency Tracking Number:
N071-085-0199
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
OBJECTVIDEO
11600 Sunrise Valley Drive, Suite # 290, Reston, VA, 20191
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
038732173
Principal Investigator:
Mun Wai Lee
Research Scientist
(703) 654-9300
mlee@objectvideo.com
Business Contact:
Paul Brewer
VP, New Technology
(703) 654-9314
pbrewer@objectvideo.com
Research Institution:
n/a
Abstract
Over the last few decades, progress toward automatic video understanding was almost exclusively due to improvements in bottom-up image and video analysis. As was the case with the initial top-down approaches, pure bottom-up approaches have run into fundamental limits. This proposal expands on recent advances in top-down/bottom-up information fusion to exploit syntactic and semantic information inherent in both approaches. Bottom-up information describes scene elements, moving objects and their interactions. Top-down information encapsulates object- and domain-specific information. Top-down information will be represented using stochastic attribute grammars. Grammars, studied mostly in language, are known for their expressive power. Transferring the idea of a grammar from language to vision, ObjectVideo proposes to define a visual vocabulary from pixels, primitives, parts, objects and scenes, and also specify their spatio-temporal or compositional relations. A stochastic bottom-up/top-down inference strategy will use this representation for efficient and accurate content extraction. The detailed representation will be used to automatically annotate imagery specifying its content and context. At the completion of Phase I, ObjectVideo will demonstrate a proof of concept system for syntactic, semantic and conceptual content extraction from maritime and urban imagery.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government