A Scalable Video Search Engine Based on Audio Content Indexing and Topic
Segmentation
release_muuabsoefnhlnf7shqvmkfy6jm
by
Julien Lawto, Jean-Luc Gauvain, Gregory
Grefenstete, Guillaume Gravier, Julien Despres, Camille
Guinaudeau
2011
Abstract
One important class of online videos is that of news broadcasts. Most news
organisations provide near-immediate access to topical news broadcasts over the
Internet, through RSS streams or podcasts. Until lately, technology has not
made it possible for a user to automatically go to the smaller parts, within a
longer broadcast, that might interest them. Recent advances in both speech
recognition systems and natural language processing have led to a number of
robust tools that allow us to provide users with quicker, more focussed access
to relevant segments of one or more news broadcast videos. Here we present our
new interface for browsing or searching news broadcasts (video/audio) that
exploits these new language processing tools to (i) provide immediate access to
topical passages within news broadcasts, (ii) browse news broadcasts by events
as well as by people, places and organisations, (iii) perform cross lingual
search of news broadcasts, (iv) search for news through a map interface, (v)
browse news by trending topics, and (vi) see automatically-generated textual
clues for news segments, before listening. Our publicly searchable demonstrator
currently indexes daily broadcast news content from 50 sources in English,
French, Chinese, Arabic, Spanish, Dutch and Russian.
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