A framework for fingerprint-based detection of repeating objects in multimedia streams

Sebastien Fenet, Manuel Moussallam, Yves Grenier, Gäel Richard, Laurent Daudet

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present an original framework for the detection of repeating objects in multimedia streams. This framework is designed so that it can work with any fingerprint model. A fingerprint is extracted for each incoming frame of the multimedia stream. The framework then manages this fingerprint so that if one similar frame comes later in the stream, it will be identified as a repetition. The framework has been tested with two distinct fingerprint models on simulated and real-world data. The results show that the framework performs well with both presented models and that it is suitable for industrial use-cases.

Original languageEnglish
Title of host publicationProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
Pages1464-1468
Number of pages5
Publication statusPublished - 27 Nov 2012
Externally publishedYes
Event20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Romania
Duration: 27 Aug 201231 Aug 2012

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference20th European Signal Processing Conference, EUSIPCO 2012
Country/TerritoryRomania
CityBucharest
Period27/08/1231/08/12

Keywords

  • Fingerprint
  • framework
  • indexing
  • repeating objects

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