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.
KEYWORDS: Video, Video surveillance, Databases, Cameras, Clouds, Sensors, Information visualization, Visualization, Geographic information systems, Video processing
Today, a large number of videos are collected using aerial platforms. These videos are used for various applications
from agriculture surveys to disaster response, from surveillance and security to intelligence gathering. As the amount of
aerial video increases, there is a need for systematic exploitation and effective management of the large aerial videos
database.
In this paper, we will introduce VideoQuest, an advanced aerial video exploitation and management system that
provides real-time aerial video enhancement, archiving, indexing and analysis capabilities such as sensor metadata
enhancement, moving target detection and tracking and event detection. To effectively and efficiently utilize archived
aerial videos, VideoQuest also provides spatial, temporal and content based indexing. To quickly retrieve videos in a
large-scale video database, the system summarizes aerial video hierarchically and based on content, such as objects,
tracks and events extracted from videos. Additionally, VideoQuest allows user to interactively search and browse A
large aerial video database through a "virtual fly control" GUI that dynamically assembles visual information according
to user's needs. Using the VideoQeust system, a user can search and retrieve mission-relevant information several
magnitudes faster than without using our system.
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