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Proceedings Paper

VideoQuest: managing large-scale aerial video database through automated content extraction
Author(s): Hui Cheng; Darren Butler; Thomas Kover; Chris Meng
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Paper Abstract

Today, a large amount of videos is collected using aerial platforms. As the amount of aerial videos increases, there is an urgent need for effective management and systematic exploitation of aerial videos. In this paper, we introduce an aerial video management and exploitation system, named VideoQuest. The proposed system manages large-scale aerial video database through automated video processing and content extraction. These processing and content extraction algorithms include real-time video and metadata enhancement, hierarchical indexing and summarization, moving target detection (i.e. MTI), moving object tracking and event detection. Additionally, VideoQuest allows user to interactively search and browse large aerial video database based on sensor metadata and content extracted from aerial video. Using the VideoQeust system, a user can search and retrieve mission-relevant information several magnitudes faster than without using our system.

Paper Details

Date Published: 14 April 2008
PDF: 10 pages
Proc. SPIE 6946, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications V, 69460H (14 April 2008); doi: 10.1117/12.779696
Show Author Affiliations
Hui Cheng, Sarnoff Corp. (United States)
Darren Butler, Sarnoff Corp. (United States)
Thomas Kover, Sarnoff Corp. (United States)
Chris Meng, Sarnoff Corp. (United States)


Published in SPIE Proceedings Vol. 6946:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications V
Daniel J. Henry, Editor(s)

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