Paper Info
Title
Semantic dispatching of multimedia news with MEWS
Abstract
Online news comes in rich multimedia form: video, audio, photos, in addition to traditional text. Recent advances in semantically-rich text processing, in speech-to-text processing, and in image processing allows us to develop new ways of presenting and enriching news stories. Here we present MEWS, a Multimedia nEWS platform, which enriches news browsing according to media (text, images, and video) and to automatically detected type of news (music, general news, politics).
Year
DOI
Venue
2013
10.1145/2502081.2502253
ACM Multimedia 2001
Keywords
Field
DocType
semantically-rich text processing,recent advance,multimedia news platform,image processing,online news,general news,traditional text,news story,multimedia news,new way,speech-to-text processing,speech processing,search engine,speech to text,news
Speech processing,World Wide Web,Mews,News aggregator,Semantic annotation,Computer science,Image processing,Multimedia,Multimedia indexing,Text processing
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Julien Law-To131118.43
Gregory Grefenstette21129147.00
Rémi Landais3212.54