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
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;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2007.49