DocumentCode :
2924660
Title :
Acoustic indexing for multimedia retrieval and browsing
Author :
Young, S.J. ; Brown, M.G. ; Foote, J.T. ; Jones, K. Sparck ; Sparck Jones, K.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
Volume :
1
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
199
Abstract :
This paper reviews the Video Mail Retrieval (VMR) project at Cambridge University and ORL. The VMR project began in September 1993 with the aim of developing methods for retrieving video documents by scanning the audio soundtrack for keywords. The project has shown, both experimentally and through the construction of a working prototype, that speech recognition can be combined with information retrieval methods to locate multimedia documents by content. The final version of the VMR system uses pre-computed phone lattices to allow extremely rapid word spotting and audio indexing, and statistical information retrieval (IR) methods to mitigate the effects of spotting errors. The net result is a retrieval system that is open-vocabulary and speaker-independent, and which can search audio orders of magnitude faster than real time
Keywords :
information retrieval; information retrieval systems; multimedia computing; natural language interfaces; speech recognition; video recording; Video Mail Retrieval project; acoustic indexing; audio indexing; audio soundtrack; information retrieval methods; multimedia browsing; multimedia documents; multimedia retrieval; pre-computed phone lattices; speech recognition; statistical information retrieval; video documents; word spotting; Acoustical engineering; Content based retrieval; Indexing; Information retrieval; Laboratories; Lattices; Postal services; Prototypes; Speech recognition; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.599600
Filename :
599600
Link To Document :
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