Multi-modal person-profiles from broadcast news video

Charlie K. Dagli, Sharad V. Rao, Thomas S. Huang

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

Abstract

The need to analyze and index large amounts of video information is becoming more important as the way people consume media continues to change. In recent years, the push to attack rnulti-niedia indexing and retrieval applications in a holistic, multi-modal way has garnered great attention. In this work we propose the holistic use of both audio, visual and textual information for the automatic indexing of broad-cast news video to create person-profiles. Indexing videos in this matter helps facilitate a unique way to create multimedia person databases automatically, as well as for attacking existing video analysis tasks. We test our algorithm on news data from NBC and present areas for future exploration.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages1559-1562
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
StatePublished - 2007
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
Country/TerritoryChina
CityBeijing
Period7/2/077/5/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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