Learn More
This paper presents an overview of the Visual Privacy Task (VPT) of MediaEval 2014, its objectives, related dataset, and evaluation approaches. Participants in this task were required to implement a privacy filter or a combination of filters to protect various personal information regions in video sequences as provided. The challenge was to achieve an(More)
Driven by new network and middleware technologies such as mobile broadband, near-field communication, and context awareness the so-called ambient lifestyle will foster innovative use cases in different domains. In the EU project Hydra high-level security, trust and privacy concerns such as loss of control, profiling and surveillance are considered at the(More)
In this paper, we describe a privacy filter proposed for the Visual Privacy Task (VPT) 2013, as a case study to validate the efficacy of the User-Intimate Requirements and Evaluation Methodology (UI-REF). This comprises an automated objective evaluation phase supported by a subjective user study to crossvalidate and complement the results of the objective(More)
In this paper, we present a novel Holistic Framework for Privacy Protection Level Performance Evaluation and Impact Assessment (H-PIA) to support the design and deployment of privacy-preserving filtering techniques as may be co-evolved for video surveillance through user-centred participative engagement and collectively negotiated solution seeking for(More)
This paper represents the first step in an on-going work for designing an unsupervised method based on genetic algorithm for intrusion detection. Its main role in a broader system is to notify of an unusual traffic and in that way provide the possibility of detecting unknown attacks. Most of the machinelearning techniques deployed for intrusion detection(More)
This paper describes the findings arising from ongoing qualitative usability evaluation studies on mobile companion robotics in smart home environments from two research projects focused on socio-technical innovation to support independent living (CompanionAble and Mobiserv). Key findings are described, and it is stated that the robotic companion, the smart(More)
With the growing need for privacy-aware and privacy-respecting CCTV systems, it becomes crucial to develop workflows and architectures that can support and enhance privacy protection. Recent advances in image processing enable the automation of many surveillance tasks, increasing the risks of privacy infringements. Fortunately, image processing and pattern(More)