The indexing of persons in news sequences using audio-visual data
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Author
A Albiol, L Torres, Delp, E.J.
Entry type
article
Abstract
We describe a video indexing system that automatically searches for a specific person in a news sequence. The proposed approach combines audio and video confidence values extracted from speaker and face recognition analysis. The system also incorporates a shot selection module that seeks for anchors, where the person on the scene is likely speaking. The system has been extensively tested on several news sequences with very good recognition rates.
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Date
2003 – 04
Journal
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Key alpha
Delp
Pages
III-137-40
Volume
3
Publication Date
2003-04-01