Multi-Modal Person-Profiles from Broadcast News Video

Author

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

Author_Institution

Illinois Univ. Urbana-Champaign, Urbana

fYear

2007

fDate

2-5 July 2007

Firstpage

1559

Lastpage

1562

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 multimedia 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 broadcast 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.

Keywords

indexing; multimedia databases; multimedia systems; video retrieval; video signal processing; audio information; automatic indexing; broadcast news video; multimedia indexing; multimedia person database; multimedia retrieval; multimodal person-profiles; textual information; video analysis; video information; visual information; Broadcast technology; Broadcasting; Companies; Information analysis; Internet; Machine assisted indexing; Multimedia communication; Multimedia databases; Testing; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2007 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-1016-9

Electronic_ISBN

1-4244-1017-7

Type

conf

DOI

10.1109/ICME.2007.4284961

Filename

4284961