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VOVALEAD: a scalable video search engine based on content

Published: 28 November 2011 Publication History

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.

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  • (2013)Semantic dispatching of multimedia news with MEWSProceedings of the 21st ACM international conference on Multimedia10.1145/2502081.2502253(427-428)Online publication date: 21-Oct-2013

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    cover image ACM Conferences
    MM '11: Proceedings of the 19th ACM international conference on Multimedia
    November 2011
    944 pages
    ISBN:9781450306164
    DOI:10.1145/2072298

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 November 2011

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    1. content based search
    2. podcast search engine

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    MM '11
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    MM '11: ACM Multimedia Conference
    November 28 - December 1, 2011
    Arizona, Scottsdale, USA

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    • (2013)Semantic dispatching of multimedia news with MEWSProceedings of the 21st ACM international conference on Multimedia10.1145/2502081.2502253(427-428)Online publication date: 21-Oct-2013

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