DocumentCode :
2705029
Title :
Automated generation of news content hierarchy by integrating audio, video, and text information
Author :
Huang, Qian ; Liu, Zhu ; Rosenberg, Aaron ; Gibbon, David ; Shahraray, Behzad
Author_Institution :
AT&T Labs.-Res., Red Bank, NJ, USA
Volume :
6
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
3025
Abstract :
This paper addresses the problem of generating semantically meaningful content by integrating information from different media. The goal is to automatically construct a compact yet meaningful abstraction of the multimedia data that can serve as an effective index table, allowing users to browse through large amounts of data in a non-linear fashion with flexibility, efficiency, and confidence. We propose an integrated solution in the context of broadcast news that simultaneously utilizes cues from video, audio, and test to achieve the goal. Some experimental results are presented and discussed
Keywords :
content-based retrieval; data structures; database indexing; image segmentation; multimedia databases; television broadcasting; audio information; automated generation; broadcast news; experimental results; index table; information integration; multimedia data abstraction; multimedia indexing; multimedia retrieval; news content hierarchy; segmentation algorithms; semantically meaningful content; text information; video information; Acoustic measurements; Advertising; Broadcasting; Content based retrieval; Data mining; Dynamic range; Feature extraction; Information retrieval; Layout; Multimedia systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.757478
Filename :
757478
Link To Document :
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