• DocumentCode
    1092260
  • Title

    AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks

  • Author

    Cho, Sung-Bae ; Kim, Kyung-Joong ; Hwang, Keum Sung ; Song, In-Ji

  • Author_Institution
    Yonsei Univ., Seoul
  • Volume
    6
  • Issue
    3
  • fYear
    2007
  • Firstpage
    66
  • Lastpage
    75
  • Abstract
    AniDiary (Anywhere Diary) uses Bayesian networks to automatically detect landmark events and summarize a user´s daily life in a cartoon-style diary. Our goal was to summarize a given user´s daily life with a cartoon-style diary based on information collected from mobile devices such as smart phones. Our system, AniDiary (Anywhere Diary), addresses two main problems of typical diary systems-the huge number of events originating from the real-life log and the awkward presentation of the output. Using modular Bayesian networks, AniDiary can detect and visualize landmarks (relevant or novel events) and transform numerous logs into user-friendly cartoon images. The cartoons provide a good starting point for fine-grained searches of detailed information. For example, users can link each cartoon to rich media (photos or videos) that offer more details, reducing the search space and letting users easily recall the linked details.
  • Keywords
    belief networks; computer animation; mobile computing; personal computing; AniDiary; Anywhere Diary; Bayesian networks; cartoon images; cartoon-style diary; mobile devices; Batteries; Bayesian methods; Event detection; Global Positioning System; History; Labeling; Manufacturing; Operating systems; Organizing; Writing; Bayesian networks; comic generation; landmark detection; life logging; ubiquitous computing;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2007.49
  • Filename
    4287446