Odessa national academy of telecommunications n. a. A.S. Popov
Department of Automation and control of technological processes
CONTENT IMAGES FILTERING
Ph.D., docent V.I. Zagrebnyuk
Lecturer V.Y. Kumysh
Odessa 2011
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
The technical aspect of child safety
providing on the Internet
Ensuring the safety of children on the Internet relates to the problems
of regulating the telecommunications market. In the problems of regulating the
telecommunications market one should distinguish at least three aspects:
- Economical;
- Technical;
- Social.
It is known that in the Internet more than 30 billion web pages with
pornographic material are registered. According to the announce of service
providers representatives it is impossible to block the access to porn sites
effectively without closing large segments of the Internet. The experience of
China (Great Chinese Firewall) can be considered as an example,
when Chinese population is deprived of access to the vast number of
informational resources.
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of Automation and control of technological processes
The technical aspect of child safety
providing on the Internet
Appearance of huge amount of specialized applications, on the software
tools market, realizing supervision under content access on the side of the
user, tells us about actuality of Internet traffic selection problem.
– ParentalControl is the addition for the Internet Explorer, that helps parents
to prevent access for kids to the adult web pages;
– KidsControl is the parental control instrument for kids activity on the
Internet;
– Tools for limiting access to applications, games and web pages on the
basis of Windows Vista;
– Tools for limiting access to the web pages in Norton Internet Security and
Kaspersky Internet Security.
While almost all of this applications were in English some years before
today many of them are developed specially for russian- and ukrainianspeaking
users, that, undoubtedly, tells about existence of the demand on such solutions.
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
The technical aspect of child safety
providing on the Internet
All these solutions are based on one principle: the program comes with
a set of filters, that are configured on sexual materials, foul language, violence,
online-games, casinos, forums, and other criteria, allowing parents
to choose different filtering parameters for their child. The option of
an interactive addition of filter by means of the user, so-called black list, is also
present.
Nevertheless, the problem of automatic blocking of socially dangerous
content is far from a final decision:
• it is necessary to increase the accuracy of black list forming on the basis of
objective estimation methods;
• it is necessary to attract large number of highly qualified experts in
various fields for creation of black lists on the basis of subjective estimation
methods;
• it is necessary to update filters sets and black lists continuously due to the
rapid increase of the number of similar resources.
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Content images filtering
Existing methods assume, that the human skin color is determined by two
major color components r (red) and g (green). Component r is the blood color
influence and r + g is melanin color influence.
In fact, due to the use of digital processing for increasing the quality and
image compression, the color of human skin is significantly distorted and
contains all three color components r, g and b.
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Content images filtering
The method for blocking and automatic denying the access to web pages
with pornography images and videos have been developed. This method
is based on the concept of the content image retrieval by the sample.
It suggests:
• Creating the two-level image as the database of the samples of human
skin (the dominant color descriptors at the 1st level, histogram descriptors at
the 2nd level).
• Preliminary analysis of the loaded by browser images in order to identify
those images, that are likely to be pornographic. It includes the dominant color
descriptors extraction from the images and the following content image retrieval
at the 1st level of the database.
• Final analysis and, if necessary, blocking of the site and its inclusion in
the "black list" with following access denying. Involves the histogram descriptor
extraction from the images, taken at the preliminary analysis
stage, and content image retrieval of the selected images at the 2nd level of
the database.
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
The dominant color descriptor extraction
for content image retrieval
Images, that are relevant by the color content
Dominant color descriptors
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Histogram descriptor extraction for
content filtering of images
Original
image
“Body color” segment
Content Images Filtering
Histogram descriptor
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Histogram descriptor extraction for
content filtering of images
Original
image
“Body color” segment
Content Images Filtering
Histogram descriptor
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Histogram descriptor extraction for
content filtering of images
Original
image
“Body color” segment
Content Images Filtering
Histogram descriptor
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Histogram descriptor extraction for
content filtering of images
Original
image
“Body color” segment
Content Images Filtering
Histogram descriptor
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Histogram descriptor extraction from
the images with limited color range
Original
image
“Body color” segment
Content Images Filtering
Histogram descriptor
V.I. Zagrebnyuk, V.Y. Kumysh
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Proposed method
The method for blocking and automatic denying the access to web pages
with pornography images and videos suggests:
• Image or independent video raster color quantization to decrease the color
redundancy.
• Dominant color extraction.
• Preliminary analysis of the loaded by browser using content image retrieval
at the 1st level of the database.
• Histogram descriptor extraction.
• Final analysis using content image retrieval of the selected images at the
2nd level of the database.
• Definition of “Body color” part of the image.
• Taking the decision on blocking the image.
• Taking the decision on blocking the site.
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,
Odessa national academy of telecommunications named after A.S. Popov
Department of automation and control of technological processes
Thank You
for Your attention!
Content Images Filtering
V.I. Zagrebnyuk, V.Y. Kumysh,