کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536771 870621 2016 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
De-identification for privacy protection in multimedia content: A survey
ترجمه فارسی عنوان
شناسایی برای حفاظت از حریم خصوصی در محتوای چند رسانه ای: یک نظرسنجی
کلمات کلیدی
حریم خصوصی، چند رسانه ای، شناسایی، شناسه های بیومتریک، شناسه های بیومتریک نرم. شناسه های غیر بیومتریک
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• Privacy protection in multimedia.
• Taxonomy of the personal identifiers in multimedia contents.
• De-identification of non-biometrical identifiers.
• De-identification of physiological, behavioural and soft biometric identifiers.

Privacy is one of the most important social and political issues in our information society, characterized by a growing range of enabling and supporting technologies and services. Amongst these are communications, multimedia, biometrics, big data, cloud computing, data mining, internet, social networks, and audio–video surveillance. Each of these can potentially provide the means for privacy intrusion. De-identification is one of the main approaches to privacy protection in multimedia contents (text, still images, audio and video sequences and their combinations). It is a process for concealing or removing personal identifiers, or replacing them by surrogate personal identifiers in personal information in order to prevent the disclosure and use of data for purposes unrelated to the purpose for which the information was originally obtained. Based on the proposed taxonomy inspired by the Safe Harbour approach, the personal identifiers, i.e., the personal identifiable information, are classified as non-biometric, physiological and behavioural biometric, and soft biometric identifiers. In order to protect the privacy of an individual, all of the above identifiers will have to be de-identified in multimedia content. This paper presents a review of the concepts of privacy and the linkage among privacy, privacy protection, and the methods and technologies designed specifically for privacy protection in multimedia contents. The study provides an overview of de-identification approaches for non-biometric identifiers (text, hairstyle, dressing style, license plates), as well as for the physiological (face, fingerprint, iris, ear), behavioural (voice, gait, gesture) and soft-biometric (body silhouette, gender, age, race, tattoo) identifiers in multimedia documents.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 47, September 2016, Pages 131–151
نویسندگان
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