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