Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information Filtering
One of the most important development’s trend of product content filtering in the part Internet traffic’s control there is transition from using data bases site’s categories to determine sites for it content. It stays especially actual with the development of different portals, which can contain ful...
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doaj-b5eb6e3f28f94b2aa91ef3ae73360e322020-11-25T00:13:14ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372013-04-0122613240243Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information FilteringRoman Zharinov0Ulia Trifonova1Oleg Karmaleev2Alexandr Kodyakov3Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, RussiaSaint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, RussiaSaint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, RussiaSaint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, RussiaOne of the most important development’s trend of product content filtering in the part Internet traffic’s control there is transition from using data bases site’s categories to determine sites for it content. It stays especially actual with the development of different portals, which can contain full of different categories. Those categories can change on time or apply under client’s settings.https://www.fruct.org/publications/abstract13/files/Zha2.pdf DLPImage analyzeProxy-server |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Roman Zharinov Ulia Trifonova Oleg Karmaleev Alexandr Kodyakov |
spellingShingle |
Roman Zharinov Ulia Trifonova Oleg Karmaleev Alexandr Kodyakov Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information Filtering Proceedings of the XXth Conference of Open Innovations Association FRUCT DLP Image analyze Proxy-server |
author_facet |
Roman Zharinov Ulia Trifonova Oleg Karmaleev Alexandr Kodyakov |
author_sort |
Roman Zharinov |
title |
Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information Filtering |
title_short |
Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information Filtering |
title_full |
Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information Filtering |
title_fullStr |
Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information Filtering |
title_full_unstemmed |
Approaches to the Detection of Inappropriate Content in Images in the Personified System for Information Filtering |
title_sort |
approaches to the detection of inappropriate content in images in the personified system for information filtering |
publisher |
FRUCT |
series |
Proceedings of the XXth Conference of Open Innovations Association FRUCT |
issn |
2305-7254 2343-0737 |
publishDate |
2013-04-01 |
description |
One of the most important development’s trend of product content filtering in the part Internet traffic’s control there is transition from using data bases site’s categories to determine sites for it content. It stays especially actual with the development of different portals, which can contain full of different categories. Those categories can change on time or apply under client’s settings. |
topic |
DLP Image analyze Proxy-server |
url |
https://www.fruct.org/publications/abstract13/files/Zha2.pdf
|
work_keys_str_mv |
AT romanzharinov approachestothedetectionofinappropriatecontentinimagesinthepersonifiedsystemforinformationfiltering AT uliatrifonova approachestothedetectionofinappropriatecontentinimagesinthepersonifiedsystemforinformationfiltering AT olegkarmaleev approachestothedetectionofinappropriatecontentinimagesinthepersonifiedsystemforinformationfiltering AT alexandrkodyakov approachestothedetectionofinappropriatecontentinimagesinthepersonifiedsystemforinformationfiltering |
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1725395507818266624 |