Paper Info
Title
VOVALEAD: a scalable video search engine based on content
Abstract
Most news organizations provide immediate access to topical news broadcasts through RSS streams or podcasts. Until recently, applications have not permitted a user to perform content based search within a longer spoken broadcast to find the segment that might interest them. Recent progress in both automatic speech recognition (ASR) and natural language processing (NLP) has produced robust tools that allow us to now provide users with quicker and more focused access to relevant segments of news broadcast videos. Our public online demonstrator of the Voxalead application currently indexes daily broadcast news content from 50 sources in English, French, Chinese, Arabic, Spanish, Dutch, Italian and Russian.
Year
DOI
Venue
2011
10.1145/2072298.2072436
ACM Multimedia 2001
Keywords
Field
DocType
focused access,voxalead application,rss stream,automatic speech recognition,news organization,indexes daily broadcast news,natural language processing,immediate access,news broadcast video,scalable video search engine,news broadcast,indexation,search engine
Broadcasting,World Wide Web,Search engine,Arabic,Computer science,Multimedia,RSS,Scalability
Conference
Citations 
PageRank 
References 
1
0.41
0
Authors
2
Name
Order
Citations
PageRank
Julien Law-To131118.43
Gregory Grefenstette21129147.00