Paper Info
Title
Implementing a content-based public-oriented audio and video news retrieval system
Abstract
Video is poised to largely replace both text and images as the media for transmitting information in the coming years. The challenge of the Information Processing community is how to index the information found in this voluminous and dynamic media stream. Most of the linguistic information is encoded in the audio channel of video data, which, once transcribed, can be accessed using text-based tools. This talk will describe our current research in providing an index into the content of video and audio streams, using LIMSI's state-of-the-art automatic speech transcription system for French, English, Mandarin and Arabic languages. I will also describe and demonstrate the Voxalead News system, and other results of the French-German Quaero project, that integrate results from industry and research, for the next generation of video-based information searching
Year
DOI
Venue
2010
10.1145/1743384.1743393
Multimedia Information Retrieval
Keywords
Field
DocType
audio channel,video-based information,french-german quaero project,dynamic media stream,video data,audio stream,video news retrieval system,content-based public-oriented audio,voxalead news system,arabic language,current research,linguistic information,information retrieval,information processing,video,indexation
Rule-based machine translation,Automatic speech,Video processing,Information processing,Information retrieval,Computer science,Communication channel,Arabic languages,Multimedia,Mandarin Chinese,Multimedia indexing
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
1
Name
Order
Citations
PageRank
Gregory Grefenstette11129147.00