Abstract
The INDECT Project aims to develop tools for enhancing security of citizens and protecting confidentiality of recorded and stored information. One of the INDECT modules, Multimedia INDECT Crawler (INCR), has been developed to support crawling of public Internet resources with the aim of combating serious online crimes, including child pornography. In this paper we present three crawler plugins, which have responded to research challenges. The plugins described here are the shape detection plugin, the Optical Character Recognition (OCR) plugin, and the face detection plugin. We present the content-based image analysis methods chosen for each plugin to accomplish its task, as well as some results in terms of detection accuracy.
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© 2011 Springer-Verlag Berlin Heidelberg
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Grega, M., Głowacz, A., Anzel, W., Lach, S., Musiał, J. (2011). INCR — INDECT Multimedia Crawler. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2011. Communications in Computer and Information Science, vol 149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21512-4_6
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DOI: https://doi.org/10.1007/978-3-642-21512-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21511-7
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