Annonce

Announcing the 9th SPRINGEROPEN EURASIP JIVP's Free Web conferencing (July 1, 2021)

8 Juin 2021

Catégorie : Autres événements

Abstract: Similar to people identification through human fingerprint analysis, multimedia forensics and security assurance through imaging device fingerprint analysis have attracted much attention amongst scientists, practitioners and law enforcement agencies around the world in the past decade. Imaging device information, such as device models and serial numbers, stored in the EXIF are useful for identifying the devices responsible for the creation of the images and videos in question. However, stored separately from the content, the metadata in the EXIF can be removed and manipulated at ease. Device fingerprints deposited in the content by the imaging devices provide a more reliable alternative to aid forensic investigations and multimedia security assurance. Various hardware or software components of the imaging devices leave model or device-specific artifacts in the content in the image acquisition process. These model or device- specific artifacts, if properly extracted, can be used as device fingerprints to identify the source devices. This talk will start with an introduction to various types of hand-crafted device fingerprints. Their applications and limitations will then be discussed. Finally, recent data-drive approaches for automatic extraction of imaging device fingerprints will be presented.

Bio.: Chang-Tsun LI is Professor of Cyber Security at Deakin University, Australia. He has had over 20 years research experience in multimedia forensics and security, biometrics, machine learning, computer vision, image processing, pattern recognition, bioinformatics and content-based image retrieval. The outcomes of his research have been translated into award-winning commercial products protected by a series of international patents and have been used by a number of law enforcement agencies, national security institutions and companies around the world, including INTERPOL (Lyon, France), UK Home Office, Metropolitan Police Service (UK), Sussex Police Service (UK), Guildford Crown Court (UK), and US Department of Homeland Security. He publishes actively in prestigious journals such as IEEE T-PAMI, IEEE T-IP, and IEEE -TIFS. He and his co-author are the winner of the Best Paper Award of 2018 IEEE AVSS. In addition to his active contribution to the advancement of his field of research through publication, Chang-Tsun Li is also enthusiastically serving the international cyber security community. He is currently Chair of Computational Forensics Technical Committee (TC-6) of the International Association of Pattern Recognition (IAPR). In the past decade, Chang-Tsun has been active in facilitating the cross-fertilisation of multimedia forensics and biometrics through his leadership in a number of multinational projects and international events. He is an associate editor of the EURASIP Journal on Image and Video Processing.