Exploiting personal and social network context for event annotation

Bageshree Shevade, Hari Sundaram, Lexing Xie

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

Abstract

This paper describes our framework to annotate events using personal and social network contexts. The problem is important as the correct context is critical to effective annotation. Social network context is useful as real-world activities of members of the social network are often correlated, within a specific context. There are two main contributions of this paper: (a) development of an event context framework and definition of quantitative measures for contextual correlations based on concept similarity (b) recommendation algorithms based on spreading activations that exploit personal context as well as social network context. We have very good experimental results. Our user study with real world personal images indicates that context (both personal and social) facilitates effective image annotation.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages835-838
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
StatePublished - 2007
Externally publishedYes
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: Jul 2 2007Jul 5 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Other

OtherIEEE International Conference onMultimedia and Expo, ICME 2007
CountryChina
CityBeijing
Period7/2/077/5/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

Fingerprint Dive into the research topics of 'Exploiting personal and social network context for event annotation'. Together they form a unique fingerprint.

  • Cite this

    Shevade, B., Sundaram, H., & Xie, L. (2007). Exploiting personal and social network context for event annotation. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007 (pp. 835-838). [4284780] (Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007). IEEE Computer Society. https://doi.org/10.1109/icme.2007.4284780