Frédéric Dufaux is a Centre National de la Recherche Scientifique (CNRS) research director at Telecom ParisTech. He is also the Editor-in-Chief of Signal Processing: Image Communication.

Frédéric received his M.Sc. in physics and his Ph.D. in electrical engineering from the Swiss Federal Institute of Technology in Lausanne in 1990 and 1994, respectively. He has more than 20 years of experience in research, previously holding positions at the Swiss Federal Institute of Technology in Lausanne, Emitall Surveillance, Genimedia, Compaq, Digital Equipment, MIT, and Bell Labs. He has been involved in the standardization of digital video and imaging technologies, being a member of the MPEG and JPEG committees. He is the recipient of two ISO awards for his contributions. Frédéric is a fellow of IEEE. He was Vice General Chair of the 2014 International Conference on Image Processing. He is an elected member of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee and the IEEE Multimedia Signal Processing Technical Committee. He is also Chair of the European Association for Signal Processing (EURASIP) Special Area Team on Visual Information Processing.

His research interests include image and video coding, distributed video coding, 3D video, high dynamic range imaging, visual quality assessment, video surveillance, privacy protection, image and video analysis, multimedia content search and retrieval, and video transmission over wireless networks. He is the author or coauthor of more than 120 research publications and holds 17 patents issued or pending.

Patrick Le Callet is Professor at the University of Nantes/Polytech Nantes and leads research at the Institut de Recherche en Communications et Cybernétique de Nantes (IRCCyN)/Centre National de la Recherche Scientifique (CNRS) laboratory.

He received both an M.Sc. and a Ph.D. in image processing from École Polytechnique de l’Université de Nantes. He was also a student at École Normale Superieure de Cachan, where he sat the aggrégation (competitive examination) in electronics of the French national education system. He worked as an assistant professor from 1997 to 1999 and as a full-time lecturer from 1999 to 2003 in the Department of Electrical Engineering of the Technical Institute of the University of Nantes. Since 2003 he has taught at École Polytechnique de l’Université de Nantes (Engineering School) in the Electrical Engineering Department and the Computer Science Department, where is now a full professor. Since 2006, he has been the head of the Image and Video Communication Laboratory at CNRS IRCCyN, a group of more than 35 researchers. He is mostly engaged in research dealing with the application of human vision modeling in image and video processing. His interests currently center on 3D image and video quality assessment, watermarking techniques, and visual attention modeling and applications. He is the coauthor of more than 200 publications and communications and the co-inventor named on 13 international patents on these topics. He also cochairs within the Video Quality Expert Group, the HDR Group, and 3DTV activities. He is currently serving as an associate editor of IEEE Transactions on Image Processing, IEEE Transactions on Circuit System and Video Technology, EURASIP Journal on Image and Video Processing, and SPIE Electronic Imaging.

Rafał K. Mantiuk is a senior lecturer in the Computer Laboratory, University of Cambridge (UK). He received his Ph.D. from the Max Planck Institute for Computer Science (Germany, 2006), was a postdoctoral researcher at the University of British Columbia (Canada) and a lecturer at Bangor University (UK). He has published numerous journal articles and conference papers presented at ACM SIGGRAPH, Eurographics, IEEE Computer Vision and Pattern Recognition, and SPIE Human Vision and Electronic Imaging conferences, has been awarded several patents, and was recognized with the Heinz Billing Award (2006). He has made contributions to the field of high dynamic range imaging in the areas of video compression, tone mapping, and quality assessment. In his work he investigates how knowledge of the human visual system and perception can be incorporated within computer graphics and imaging algorithms. His recent interests focus on the design of imaging algorithms that adapt to human visual performance and viewing conditions in order to deliver the best images given limited resources, such as bandwidth, computation time, and display contrast.

Marta Mrak received Dipl. Ing. and M.Sc. in electronic engineering from the University of Zagreb, Croatia, and a Ph.D. from Queen Mary University of London, UK. Before joining the Research and Development Department at the BBC in 2010 to work on video compression research and the H.265/HEVC standardization, she was a postdoctoral researcher at the University of Surrey and Queen Mary University of London. In 2002, she was awarded a German Academic Exchange Service (DAAD) scholarship for video compression research at the Heinrich Hertz Institute, Germany. She has coauthored more than 100 articles, book chapters, and standardization contributions, and coedited the book High-Quality Visual Experience (Springer, 2010). She has been involved in several projects funded by European and UK research councils in roles ranging from researcher to scientific coordinator. She is a member of the Multimedia Signal Processing Technical Committee of the IEEE, a senior member of the IEEE, and an area editor of Signal Processing: Image Communication, and has been a guest editor of several special issues in relevant journals in the field.