DocumentCode :
56812
Title :
Reusing Speech Techniques for Video Semantic Indexing [Applications Corner]
Author :
Shinoda, Kazuma ; Inoue, Naoko
Author_Institution :
Dept. of Comput. Sci., Tokyo Inst. of Technol., Tokyo, Japan
Volume :
30
Issue :
2
fYear :
2013
fDate :
Mar-13
Firstpage :
118
Lastpage :
122
Abstract :
Many techniques developed in speech research have been successfully employed in other fields, such as automatic video semantic indexing. In this application, a user submits a textual input query for an desired object or a scene to a search system, which returns video shots that include the object or scene. Recently, a new method using Gaussian-mixture model (GMM) supervectors and support vector machines (SVMs) was proven to be very effective. In this method, speech technology such as speaker verification and adaptation techniques play very important roles.
Keywords :
Gaussian processes; indexing; speaker recognition; support vector machines; GMM supervector; Gaussian-mixture model supervector; SVM; automatic video semantic indexing; speaker adaptation technique; speaker verification technique; speech technique; support vector machine; textual input query; video shot return; Feature extraction; Gaussian processes; Indexing; Sematics; Speech processing; Support vector machines; Video signal processing;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2012.2230520
Filename :
6461614
Link To Document :
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