KIT at mediaeval 2012 - Content-based genre classification with visual cues

Tomas Semela, Makarand Tapaswi, Hazim Kemal Ekenel, Rainer Stiefelhagen

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents the results of our content-based video genre classification system on the 2012 MediaEval Tagging Task. Our system utilizes several low-level visual cues to achieve this task. The purpose of this evaluation is to as- sess our content-based system's performance on the large amount of blip.tv web{videos and high number of genres. The task and corpus are described in detail in [5].

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume927
StatePublished - 2012
EventMultimedia Benchmark Workshop, MediaEval 2012 - Pisa, Italy
Duration: Oct 4 2012Oct 5 2012

Keywords

  • Content-based features
  • Genre classification

ASJC Scopus subject areas

  • General Computer Science

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