Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Fast Objectionable Videos Detection Algorithm Based on Motion Vector Field

Authors
Guiqing Lv, Zhiyi Qu
Corresponding Author
Guiqing Lv
Available Online March 2013.
DOI
10.2991/iccsee.2013.495How to use a DOI?
Keywords
Motion Vector, Feature Extraction, Reciprocating Motion, Histogram, H.264
Abstract

Aim at large amount and complex features of network video data, this paper proposed a fast algorithm of detecting pornographic video in streaming media. Combining the information of motion vector field and the features of pornographic behavior trajectory, we could judge that weather a video is pornographic or not without decoding it. The experiment show that the algorithm recognition rate is reached 80%, and is robust for network video detection environment

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
10.2991/iccsee.2013.495How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Guiqing Lv
AU  - Zhiyi Qu
PY  - 2013/03
DA  - 2013/03
TI  - Fast Objectionable Videos Detection Algorithm Based on Motion Vector Field
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1969
EP  - 1972
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.495
DO  - 10.2991/iccsee.2013.495
ID  - Lv2013/03
ER  -