A large-scale audio and video fingerprints-generated database of TV repeated contents
Jean-Hugues Chenot, Gilles Daigneault · 2014
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 a many potential applications, e.g. for structuring and documenting contents.