Fast Objectionable Videos Detection Algorithm Based on Motion Vector Field

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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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  -