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Visual Data Encryption for Privacy Enhancement in Surveillance Systems

Abstract

In this paper a methodology for employing reversible visual encryption of data is proposed. The developed algorithms are focused on privacy enhancement in distributed surveillance architectures. First, motivation of the study performed and a short review of preexisting methods of privacy enhancement are presented. The algorithmic background, system architecture along with a solution for anonymization of sensitive regions of interest are described. An analysis of efficiency of the developed encryption approach with respect to visual stream resolution and the number of protected objects is performed. Experimental procedures related to stream processing on a single core, single node and multiple nodes of the supercomputer platform are also provided. The obtained results are presented and discussed. Moreover, possible future improvements of the methodology are suggested.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
Advanced Concepts for Intelligent Vision Systems strony 13 - 24
Language:
English
Publication year:
2013
Bibliographic description:
Cichowski J., Czyżewski A., Kostek B..: Visual Data Encryption for Privacy Enhancement in Surveillance Systems, W: Advanced Concepts for Intelligent Vision Systems, 2013, Springer International Publishing,.
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-02895-8_2
Verified by:
Gdańsk University of Technology

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