Abstract
Along with all the positives brought by the Internet, the global network is also used for criminal purposes. The goal of the presented work was to create and optimize applications working in parallel with the search and illegal content analysis system (SWAT) created previously at the authors’ university. The role of the SWAT system is to penetrate the Internet to search for images and provide links to the presented application. The presented application is able to detect various special objects, such as faces, symbols or child pornography. The use of bees algorithm-based optimization made it possible to increase the effectiveness of image analysis. With appropriate assumptions, the efficiency was increased by a factor of three times compared to the application without optimization. The efficiency of the optimization algorithm depends largely on the nature of the input data, the URL addresses.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Grega, M., Bryk, D., Napora, M., Gusta, M.: INACT — INDECT advanced image cataloguing tool. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2011. CCIS, vol. 149, pp. 28–36. Springer, Heidelberg (2011), http://dx.doi.org/10.1007/978-3-642-21512-4_4
Group, M.M.: Internet world stats, http://www.internetworldstats.com/
INDECT: Welcome to INDECT homepage – INDECT-home, http://www.indect-project.eu/
Opaliński, A., Turek, W.: Information retrieval and identity analysis. In: Metody Sztucznej Inteligencji w Działaniach na Rzecz Bezpieczeństwa Publicznego, pp. 173–194. AGH University of Science and Technology Press (2009) No. 978-83-7464-268-2
Pham, D.T., Ghanbarzadeh, A., Koc, E., Otri, S.: Application of the bees algorithm to the training of radial basis function networks for control chart pattern recognition (2006)
Pham, D.T., Ghanbarzadeh, A., Koc, E., Otri, S., Rahim, S., Zaidi, M.: The bees algorithm, a novel tool for complex optimisation problems. In: Proceedings of the 2nd International Virtual Conference on Intelligent Production Machines and Systems (IPROMS 2006), pp. 454–459. Elsevier (2006)
Turek, W., Opalinski, A., Kisiel-Dorohinicki, M.: Extensible web crawler – towards multimedia material analysis. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2011. CCIS, vol. 149, pp. 183–190. Springer, Heidelberg (2011), http://dx.doi.org/10.1007/978-3-642-21512-4_22
Wilaszek, K., Wójcik, T., Opaliński, A., Turek, W.: Internet identity analysis and similarities detection. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2012. CCIS, vol. 287, pp. 369–379. Springer, Heidelberg (2012), http://dx.doi.org/10.1007/978-3-642-30721-8_36
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Leszczuk, M., Piwowarczyk, T., Grega, M. (2013). Downloading and Analysing Images from the Internet in Order to Detect Special Objects. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2013. Communications in Computer and Information Science, vol 368. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38559-9_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-38559-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38558-2
Online ISBN: 978-3-642-38559-9
eBook Packages: Computer ScienceComputer Science (R0)