DocumentCode :
3032034
Title :
Motion imagery metadata standards assist in object and activity classification
Author :
Young, D.L.
Author_Institution :
Raytheon Intell. & Inf. Syst. Div., Falls Church, VA, USA
fYear :
2010
fDate :
13-15 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
Metadata is considered vital in making sense of ISR sensor data because it provides the context needed to interpret motion imagery. For example, metadata provides the fundamental information needed to associate the imagery with location and time. But, more than that, metadata provides information that can assist in automated video analysis. This paper describes some of the ways that metadata can be used to improve automated video processing.
Keywords :
image classification; image motion analysis; video signal processing; ISR sensor data; activity classification; automated video processing; metadata standard; motion imagery; object classification; Accuracy; Cameras; Contracts; Materials; Three dimensional displays; Tracking; US Department of Defense;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR), 2010 IEEE 39th
Conference_Location :
Washington, DC
ISSN :
1550-5219
Print_ISBN :
978-1-4244-8833-9
Type :
conf
DOI :
10.1109/AIPR.2010.5759700
Filename :
5759700
Link To Document :
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