Distributed Source Coding for Multimedia Applications
Prof. Antonio Ortega
Signal and Image Processing Institute
Department of Electrical Engineering
University of Southern California
In the last few years new research has demonstrated that distributed source coding (DSC) techniques can be applied to multiple media compression scenarios and have demonstrated that these techniques have potential benefits in terms of encoding complexity and error resilience. DSC originates in the information theoretical work of Slepian, Wolf, Wyner and Ziv in the 1970s. In this talk we first provide a short introduction to the key intuitions behind DSC. We then discuss several applications of these techniques: video compression with flexible playback, scalable video coding and compression of hyperspectral imagery. These applications help us illustrate the potential of these technques as well as the very significant remaining research challenges they pose.
Antonio Ortega received the Telecommunications Engineering degree from the Universidad Politecnica de Madrid (UPM), Madrid, Spain in 1989 and the Ph.D. in Electrical Engineering from Columbia University, New York, NY in 1994. He is currently a Professor of Electrical Engineering at the University of Southern California (USC), which he joined in 1994. He has been a recipient of the National Science Foundation Career award, the 1997 IEEE Communications Society Leonard G. Abraham Prize Paper Award, the IEEE Signal Processing Society (SPS) 1999 Magazine Award and the 2006 EURASIP Journal on Advances in Signal Processing paper award. He is a Fellow of the IEEE and a former chair of the IEEE SPS Image and Multidimensional Signal Processing Technical Committee.
Currently on sabbatical leave at Tokyo Institute of Technology funded by the Japan Foundation for Promotion of Science (JSPS).