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Conference papers

Fast Repetition Detection in TV Streams using Repetition Patterns

Cérès Carton 1 Patrick Gros 2, 3, *
* Corresponding author
1 IntuiDoc - intuitive user interaction for document
3 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper presents a new method to detect video repetitions in a TV stream. This method aims at reducing the number of image descriptors that have to be computed. First, shot durations are used as hash keys to propose a first set of potential repetitions. Second, a statistical test and visual descriptors are used to verify and complete these first guesses in order to improve the results by reducing the number of false detections and by retrieving the maximal length of the repeated segments. The method is tested in the context of a TV structuring application using one month of continuous TV stream.
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Submitted on : Friday, July 12, 2013 - 5:33:36 PM
Last modification on : Tuesday, October 19, 2021 - 11:58:55 PM
Long-term archiving on: : Wednesday, April 5, 2017 - 10:53:28 AM


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  • HAL Id : hal-00844099, version 1


Cérès Carton, Patrick Gros. Fast Repetition Detection in TV Streams using Repetition Patterns. Content-Based Multimedia Indexing, Jun 2013, Veszprem, Hungary. ⟨hal-00844099⟩



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