DocumentCode :
3411720
Title :
MAAI: Media analytics for actionable intelligence
Author :
Chaudhari, Upendra ; Conrod, Sarah ; Faisman, Alexander ; Iyengar, Giridharan ; Kanevsky, Dimitri ; Kogan, Mark ; Ramaswamy, Ganesh ; Virga, Paola
Author_Institution :
TJ Watson Res. Center, IBM, Hawthorne, NY
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
1785
Lastpage :
1788
Abstract :
Government agencies, corporations, and police departments are plagued by information overload. The inability of fully analyze fragments of data scattered across the organizations reduces productivity, and more and more of these fragments are being gathered every day thanks to tools like the Internet and digital audio/video recorders. However, since much of this information is stored in computer systems and networks, it is possible to develop tools that will automatically analyze, assemble and associate the fragments so that precious human resources can focus on the analysis and interpretation of just those fragments that may contain valuable insight. Media analytics for actionable intelligence (MAAI) is a combination of automatic, semi-automatic and manual tools which provide three basic levels of analysis: automatic services, manual feedback, and higher level mining (e.g. timeline, social network, hypothesis generation) which allow investigators/analysts to act more efficiently and accurately.
Keywords :
data mining; multimedia computing; Internet; MAAI; computer networks; computer systems; corporations; data fragment analysis; digital audio recorders; digital video recorders; government agencies; higher level mining; law inforcement; manual feedback; media analytics for actionable intelligence; police departments; social network; Assembly systems; Computer networks; Data analysis; Government; Humans; Information analysis; Intelligent networks; Internet; Productivity; Scattering; Law Inforcement; Multimedia Analytics; Social Networks; Timeline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4517977
Filename :
4517977
Link To Document :
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