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