AVSST: an Automatic Video Stream Structuring Tool

Ibrahim Zein Al Abidin 1, * Patrick Gros 1 Sébastien Campion 1
* Corresponding author
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : The aim of this paper is to present the tool that we have developed to automatically structure TV streams. The objective is to determine precisely the start and the end of broadcasted TV programs (P). Usually, TV channels separate programs with breaks (B). These breaks can be commercials, trailers, station identification breaks (monochrome frames for example), or bumpers. They may be broadcasted several times in the stream. The detection of these repetitions is the key of our method to structure the TV stream. After the detection step, a classification method is applied to separate the program repeated content from breaks ones. The latter are used to segment the stream in Program/Breaks sequence. Finally, the segmented stream is aligned with the metadata provided with the stream such as the Electronic Program Guide (EPG) in order to provide labeled programs. Experimentations are made on 22- day long TV stream that show the effectiveness of our method.
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Ibrahim Zein Al Abidin, Patrick Gros, Sébastien Campion. AVSST: an Automatic Video Stream Structuring Tool. NEM SUMMIT, Oct 2010, Barcekine, Spain. ⟨inria-00585239⟩

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