Paper Info
Title
VOXALEADNEWS: A scalable content based video search engine
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.
Year
DOI
Venue
2012
10.1109/CBMI.2012.6269802
Content-Based Multimedia Indexing
Keywords
Field
DocType
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
Thumbnail,Computer science,Search engine indexing,Image processing,Natural language processing,Artificial intelligence,Computer vision,Broadcasting,Metadata,Search engine,Information retrieval,Full text search,Information extraction
Conference
ISSN
ISBN
Citations 
1949-3983 E-ISBN : 978-1-4673-2369-7
978-1-4673-2369-7
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Julien Law-To131118.43
Rémi Landais2212.54
Gregory Grefenstette31129147.00