DocumentCode :
3201687
Title :
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
Link To Document :
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