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ABSTRACT
Title |
: |
A New Effective System for Filtering
Pornography Videos |
Authors |
: |
Tarek Abd El-Hafeez |
Keywords |
: |
Skin recognition, pornography detection,
Video snapshots, Internet Download Managers |
Issue Date |
: |
December 2010 |
Abstract |
: |
Videos are consider in these time an important
way to record our life moments. Nowadays and with the
widespread of using Internet, videos can be shared easily
between different countries and between peoples around
the world. Now due the ease of using computer and
internet any one easily by pushing a button can download
a video from the internet which can evolves good or bad
contents (harmful or useful) and this contents may have
impact specially on children and minors, so effective
filtering of videos is of paramount importance in an video
filtering solutions. Videos consists of set of numerous
frames (set of images) which are viewed in sequence
which result which result video. This paper represent a
new effective system for Filtering pornography videos
based on skin recognition technique. Nevertheless, the
results of our experiments show that this approach is
indeed able to provide good recognition rates for
pornography detection at the frame level.
|
Page(s) |
: |
2847-2852 |
ISSN |
: |
0975–3397 |
Source |
: |
Vol. 2, Issue.9 |
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