دانلود مقاله ISI انگلیسی شماره 138393
ترجمه فارسی عنوان مقاله

کار با شناسایی منبع ویدیو در شبکه های اجتماعی

عنوان انگلیسی
Dealing with video source identification in social networks
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
138393 2017 22 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Signal Processing: Image Communication, Volume 57, September 2017, Pages 1-7

پیش نمایش مقاله
پیش نمایش مقاله  کار با شناسایی منبع ویدیو در شبکه های اجتماعی

چکیده انگلیسی

Certainly detecting the source of a digital video it is a crucial task to be tackled by the image forensic scientific community; in fact, knowing the brand and model of the device used for the video acquisition could be very useful to focus investigations in a specific direction. Nowadays, videos are mostly acquired through a smartphone and then shared on Social Networks (SNs). On such a basis, this paper proposes an analysis for the source identification of a video uploaded on social networks, specifically, Twitter and Facebook. Furthermore, the paper evaluates different methods to build a reliable fingerprint and also introduces a novel method to generate a composite fingerprint by resorting to the use of PRNU noise. A tool to examine videos, oriented to forensic analysts, is also presented. Experimental results carried out on various videos, firstly uploaded and then downloaded from Facebook or Twitter, witness that the identification is still possible and under which conditions.