• DocumentCode
    1708804
  • Title

    ATTN-SPAN

  • Author

    Schultz, Dan ; Holtzman, Henry

  • Author_Institution
    Inf. Ecology, MIT Media Lab., Cambridge, MA, USA
  • fYear
    2012
  • Firstpage
    459
  • Lastpage
    461
  • Abstract
    ATTN-SPAN is a digital content summarization and contextualization platform designed to compile video footage into personalized episodes. Viewers are able to associate opinions and externally sourced static content to moments within the video, creating a far richer viewing experience and supporting a community knowledge base around civic information. The pilot project utilizes C-SPAN footage to create daily episodes for each user of the system based on his or her political interests.
  • Keywords
    video signal processing; ATTN-SPAN; C-SPAN footage; contextualization platform; digital content summarization; long form primary source media summarization; personalized episode; political interest; video footage; Communities; Environmental factors; Feeds; Government; Internet; Knowledge based systems; Media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2012 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4577-2070-3
  • Type

    conf

  • DOI
    10.1109/CCNC.2012.6180998
  • Filename
    6180998