New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers

  • Authors:
  • Ronald Glasberg;Sebastian Schmiedeke;Martin Mocigemba;Thomas Sikora

  • Affiliations:
  • -;-;-;-

  • Venue:
  • ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
  • Year:
  • 2008

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Abstract

In this paper we describe in detail the recent publications related to video-genre-classification and present our improved new approaches for classifying video sequences in real-time as 'cartoon', 'commercial', 'music', 'news' or 'sport' by analyzing the content with new high-level audio-visual descriptors and classification methods. Such applications have also been discussed in the context of MPEG-7. The results demonstrate identification rates of more than 90% based on a large representative collection of 100 videos gathered from free digital TV and Internet.