DocumentCode :
2987567
Title :
VOXALEADNEWS: A scalable content based video search engine
Author :
Law-To, Julien ; Landais, Rémi ; Grefenstette, Gregory
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
Video search is still largely based on text search human-supplied metadata, sometimes supplemented by extracted thumbnails. We have been developing a broadcast news search system based on recent progress in automatic speech recognition (ASR), natural language processing (NLP) and video and image processing to provide a rich content-based search to news. Our public online demonstrator of the Voxalead application, described here, currently indexes daily broadcast news content from 60 sources in English, French, Chinese, Arabic, Spanish, Dutch, Italian, German and Russian and make them searchable few time after they have been published.
Keywords :
information resources; meta data; natural language processing; search engines; speech recognition; text analysis; video retrieval; video signal processing; ASR; Arabic; Chinese; Dutch; English; French; German; Italian; NLP; Russian; Spanish; VOXALEADNEWS; automatic speech recognition; broadcast news search system; content-based search; image processing; natural language processing; scalable content based video search engine; text search human-supplied metadata; thumbnail extraction; video processing; Automatic speech recognition; Digital audio broadcasting; Natural language processing; Organizations; Search engines; Speech; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Content-Based Multimedia Indexing (CBMI), 2012 10th International Workshop on
Conference_Location :
Annecy
ISSN :
1949-3983
Print_ISBN :
978-1-4673-2368-0
Electronic_ISBN :
1949-3983
Type :
conf
DOI :
10.1109/CBMI.2012.6269802
Filename :
6269802
Link To Document :
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