This paper explores in which ways privacy (in particular, data protection principles) comes to the fore in the day-to-day operation of a public video surveillance system. Starting from current European legal perspectives on data protection, and building on an empirical case study, the meanings and management of privacy in the practice of Closed-Circuit Television (CCTV) will be discussed in ord...

In this chapter we describe the privacy issues surrounding the proliferation of digital imagery, in surveillance video, online photo-sharing, medical records and online navigable street imagery. We highlight the growing capacity for computer systems to process, recognize and index face images and outline some of the techniques that have been used to protect privacy while maintaining usefulness ...

Common surveillance of citizens by various intelligence services every year becomes more dangerous threat to our privacy. Recently, number of security enrichment was developed that allows to increase privacy protection during pervasive network use. In this article we present a novel approach that uses telecommunications OpenMiddleware APIs to provide reliable public key exchange protocol.

Drift error is a critical issue in video scrambling which is widely used to protect privacy in surveillance video. However, how to improve video coding efficiency while preventing drift error in video scrambling has not been covered in most studies. Proposed is a prediction restricted scheme for H.264/AVC privacy protected video scrambling. Experiments show that the proposed scheme dramatically...

Data-driven practices, such as personalized communication, computational advertising, and algorithmic decision making, are now commonplace. However, they have been criticized for (mis)uses of personal data invasions people’s privacy. Recently, scholars started to examine the concept perceived surveillance obtain more insight into perceptions effectiveness data-driven communication. Despite grow...

Article history: Received 28 October 2015 Received in revised form 8 June 2016 Accepted 9 June 2016 Available online xxxx In this paper a framework is constructed to hypothesize if and how smart city technologies and urban big data produce privacy concerns among the people in these cities (as inhabitants, workers, visitors, and otherwise). The framework is built on the basis of two recurring di...