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An Event-driven Approach to Efficient Summarization, Visualization, and…

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
91741
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
08SB2-0415
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
SIGNAL PROCESSING, INC.
9700 Great Seneca Highway Rockville, MD -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: An Event-driven Approach to Efficient Summarization, Visualization, and Browsing of Massive Combat Video Database
Agency / Branch: DOD / DARPA
Contract: W31P4Q-09-C-0229
Award Amount: $99,000.00
 

Abstract:

We propose a systematic solution to the problem of efficient summarization, visualization, and browsing of large combat video archives. Our approach is event-driven: spatio-temporal saliency is used to define significant visual events, which is in turn used in an event-based video model to partition the video into interleaved salient and less significant segments. Each of the two types of segments will then be summarized properly, with the salient segments been kept at higher spatio-temporal resolution while less significant segments being highly condensed. Such an approach naturally leads to a visualization and browsing scheme that can facilitate the consumption of the large amount of video data based on the relative importance of the raw video feeds, thus helping human analysts achieve efficient examination of the video without the drawbacks of conventional techniques that would discard some of the input data by thresholding or filtering. The innovation of the proposed approach include: 1) a unique method to define the significant segments ("events") of a video based on saliency detection that can deal with low resolution videos; 2) high performance summarization schemes for different portions of the video based on their relative importance; 3) a novel visualization scheme to support event-driven non-linear browsing of the video feeds.

Principal Investigator:

Chiman Kwan
Chief Technology Officer
2405052641
chiman.kwan@signalpro.net

Business Contact:

Chihwa Yung
President
3013152322
chihwa.yung@signalpro.net
Small Business Information at Submission:

SIGNAL PROCESSING, INC.
13619 Valley Oak Circle Rockville, MD 20850

EIN/Tax ID: 134320631
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No