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Detecting pornographic video content by combining image features with motion information
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Authors:
Christian Jansohn
University of Kaiserslautern, Kaiserslautern, Germany
Adrian Ulges
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
Thomas M. Breuel
DFKI and University of Kaiserslautern, Kaiserslautern, Germany
Published in:
· Proceeding
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Pages 601-604
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-608-3
doi>
10.1145/1631272.1631366
2009 Article
Short paper
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· Citation Count: 9
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Tags:
algorithms
content-based video retrieval
experimentation
information filtering
measurement
pornography detection
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