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Automated Scene Understanding

Award Information

Department of Defense
Office of the Secretary of Defense
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
11600 Sunrise Valley Drive Suite # 210 Reston, VA 20191-
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 2011
Title: Automated Scene Understanding
Agency / Branch: DOD / OSD
Contract: N0001411-C-0308
Award Amount: $732,445.00


ObjectVideo, Inc. proposes to develop video inference algorithms and a modular architecture for scene understanding based on the computational framework of Spatio-temporal And-Or Graph (ST-AoG). Various image inference modules can be integrated to the framework through an API for scene understanding. The system can be easily upgradeable as new image processing modules are developed. The architecture also supports the input of user-provided context to improve inference. Leveraging earlier work on semantic annotation, we will develop algorithms to infer complex relationships between scene entities. Plain text reports of the scene are automatically generated to describe these relationships, contextual information, and events of interest. To achieve a high compression rate for bandwidth-limited applications, the text description can be used to synthesize image and video to provide a representative rendering of the scene and events. In addition, we propose a method for indexing hierarchical data as well as a scalable framework for searching a large imagery dataset.

Principal Investigator:

Tae E. Choe
Principal Investigator
(703) 654-9300

Business Contact:

Paul C. Brewer
VP, New Technology
(703) 725-3084
Small Business Information at Submission:

11600 Sunrise Valley Drive Suite # 290 Reston, VA -

EIN/Tax ID: 541969286
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No