• 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