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Conference Papers Year : 2014

A Large-Scale Audio and Video Fingerprints-Generated Database of TV Repeated Contents

Abstract

Using specifically-designed lightweight audio and video fingerprints, we were able to detect repeated contents over a quasi-uninterrupted recording of 10+ TV channels, over more than 4 years, starting January 2010 (380,000 hours); the detection independently uses audio and video fingerprints. The results are stored into a database that holds more than 20 million detected repeats. Detections range from a few seconds up to one hour. The database can be explored using a standard web browser. There are many potential applications, e.g. for structuring and documenting contents.
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Dates and versions

hal-01017118 , version 1 (16-07-2014)

Identifiers

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Jean-Hugues Chenot, Daigneault Gilles. A Large-Scale Audio and Video Fingerprints-Generated Database of TV Repeated Contents. 12th International Workshop on Content-Based Multimedia Indexing (CBMI2014), Jun 2014, Klagenfurt, Austria. pp.02-02, ⟨10.1109/CBMI.2014.6849818⟩. ⟨hal-01017118⟩
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