A life-log search model based on Bayesian Network

Taketoshi Ushiama, Toyohide Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The integration of life-log data in different media enables to represent the same activities from various viewpoints. Integrated life-log data represent contexts each other that are not able to represent in single. Each media has its own characteristic features, and the limitation on its content representation ability. Life-log data consists of records of activities. Examples of life-log data are the e-mail massages that he/she sent and received, TV programs that he/she watched, and photographs that he/she took, and so on. One of the most important characteristic of life-log is that the same activities are represented in different media. This paper focuses on the integrate life-logs in different media and to search them based on their contexts. A problem of the integration is that it is difficult to make correspondences between life-logs in different media types strictly and the correspondences consists uncertainty. In this paper, we introduce a framework based on Bayesian Network.

Original languageEnglish
Title of host publicationProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004
Pages337-343
Number of pages7
DOIs
Publication statusPublished - Dec 1 2004
EventProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004 - Miami, FL, United States
Duration: Dec 13 2004Dec 15 2004

Publication series

NameProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004

Other

OtherProceedings - IEEE Sixth International Symposium on Multimedia Software Engineering, MSE 2004
CountryUnited States
CityMiami, FL
Period12/13/0412/15/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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