期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2013
卷号：4
期号：6
页码：13
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper, we present a novel Holistic Framework for Privacy Protection Level Performance Evaluationand Impact Assessment (H-PIA) to support the design and deployment of privacy-preserving filteringtechniques as may be co-evolved for video surveillance through user-centred participative engagement andcollectively negotiated solution seeking for privacy protection. The proposed framework is based on theUI-REF normative ethno-methodological framework for Privacy-by-Co-Design which is based oncollective-interpretivist and socio-psycho-cognitively rooted Human Judgment and Decision Making (JDM)theory including Pleasure-Pain-Recall (PPR)-theoretic opinion elicitation and analysis. This supports notonly the socio-ethically reflective conflicts resolution, prioritisation and traceability of privacy-preservingrequirements evolving through user-centred co-design but also the integration of Key HolisticPerformance Indicators (KPIs) comprising a number of objective and subjective evaluation metrics for thedesign and operational deployment of surveillance data/-video-analytics from a system-of-system-scalecontext-aware accountability engineering perspective. For the objective tests, we have proposed fivecrucial criteria to be evaluated to assess the optimality of the balance of privacy protection and securityassurance as may be negotiated with end-users through co-design of a privacy filtering solution. Thisevaluation is supported by a process of quantitative assessment of some of the KPIs through an automatedobjective measurement of the functional performance of the given filter. Additionally, a subjectivequalitative user study has been conducted to correlate with, and cross-validate, the results obtained fromthe objective assessment of the KPIs. The simulation results have confirmed the sufficiency, necessity andefficacy of the UI-REF-based methodologically-guided framework for Privacy Protection evaluation toenable optimally balanced Privacy Filtering of the video frame whilst retaining the minimum of theinformation as negotiated per agreed process logic. Insights from this study have served the co-design anddeployment optimisation of privacy-preserving video filtering solutions. This UI-REF-based frameworkhas been successfully applied to the evaluation of MediaEval 2012-2013 Privacy Filtering and as such hasserved to motivates further innovation in co-design and multi-level, multi-modal impact assessment ofmultimedia privacy-security-balancing risk mitigation technologies.
关键词：Privacy Preserving; Privacy Protection; Video Analytics; UI-REF; Privacy-by-Co-Design; Filtering;Evaluation; Visual Surveillance; Holistic Privacy Impact Assessment (H-PIA); Human Judgement and;Decision Making Theory (JDM); Pleasure-Pain-Recall Theory l(PPR); Context-aware Privacy Filtering.
