Video clustering based on the collaboration of multimedia clusterers

Ana I. Oviedo, Oscar Ortega, José M. Perea-Ortega, Emilio Sanchis

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

Abstract

This paper addresses the task of video clustering, representing the videos as complex multimedia objects, which are an aggregation of heterogeneous data (text, images and audio) as a single unit. In support to the development of this task, this paper proposes a new method based on the collaboration of clusterers evaluating the multimedia resources present in videos. The new method, called Multimedia Collaborative Multi-clustering, is evaluated using the video set of MediaEval 2011, implementing a text clusterer with the speech transcription provided by the video set, an image clusterer with keyframes also provided by the video set, and an audio clusterer with the acoustic signal of the videos. A comparison against several solutions found in the literature demonstrates the feasibility of the proposed method, which creates clustering structures closer to the actual classification of the videos than the clusters produced by other solutions.

Original languageEnglish
Title of host publication38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings
DOIs
StatePublished - 2012
Externally publishedYes
Event38th Latin America Conference on Informatics, CLEI 2012 - Medellin, Colombia
Duration: 1 Oct 20125 Oct 2012

Publication series

Name38th Latin America Conference on Informatics, CLEI 2012 - Conference Proceedings

Conference

Conference38th Latin America Conference on Informatics, CLEI 2012
Country/TerritoryColombia
CityMedellin
Period1/10/125/10/12

Keywords

  • clustering
  • complex multimedia objects
  • multi-clustering approach
  • video clustering

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