Real Time Approaches for Video Genre Classification
Patent 08043/TUB

This technology offers the possibility to classify videos according to the respective genre (e.g. "Cartoon" and "Non-Cartoon"). This can be used both for private home use and for the automatic classification of audiovisual data for the Internet and search engines.

Benefits
  1. High identification rates of more than 90% for each genre
Possible Applications

This technology is suitable for consumer electronics, especially for recording a video signal, and can be used by large video archives or by any other industry dealing with the problem described.

Background

This technology for video-genre classification developed at TU Berlin provides applications for personal video recorders and for an automatic classification of audio-visual data for the internet and for search engines.

A main challenge in the field of multimedia content analysis is the transformation of human interpretations of audio-visual data to correlating machine processable representations.

Technical Description

This invention analyses such contents with the help of high-level audio-visual descriptors and of classification methods. To give an example: If you wish to distinguish between the genres ‘cartoon’ and ‘non-cartoon’, the performance of several combinations of the newly developed descriptors and classification methods is analyzed.

A classification accuracy (CA) of 95.6 % is achieved by using two hidden Markov models (HMM). For the distinction between the features ‘commercial’ and ‘non-commercial’ a CA of 98.4 % can be achieved by using two HMM. A decision tree results in a CA of 95.5 % for music videos and a CA of 91.9 % for news. When distinguishing between ‘sport’ and ‘non-sport’, Bayes’ Theorem achieves a CA of 95.2 %.

Contact Us

Ina Krüger

License Manager

+49 (0)30 314-75916
ina.krueger@tu-berlin.de

Technology Readiness Level
TRL 4

Small scale prototype

Property Rights

approved: US

Patent Holder

Technische Universität Berlin

Possible Cooperation
  • R&D Cooperation
  • Patent Purchase
  • Licensing