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Antonio Ortega Wins Best Paper Award at 2011 IEEE International Conference on Image Processing

November 03, 2011 —

From left to right: Eduardo Martínez-Enríquez and Fernando Díaz-de-María of the Universidad Carlos III de Madrid, Spain, and Antonio Ortega, USC.
Antonio Ortega of the Ming Hsieh Department of Electrical Engineering received the best paper award from the 2011 IEEE International Conference on Image Processing (ICIP) held in Brussels, Belgium in September 2011. Sponsored by the IEEE Signal Processing Society, this conference is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. Highlighted topics range from traditional image processing applications to evolving multimedia and video technologies. ICIP 2011, the 18th in the series that has been held annually since 1994, brought together leading engineers and scientists in image processing from around the world.

The winning paper, entitled “Video Encoder Based on Lifting Transforms on Graphs," was a collaboration between Professor Ortega, Ph.D. student Eduardo Martínez-Enríquez and Professor Fernando Díaz-de-María from the Universidad Carlos III de Madrid, Spain. It was selected from 900 papers presented at the conference. The paper is based on work by Eduardo Martínez-Enríquez while he was a visiting Ph.D. student at USC, and presents a novel video compression algorithm based on graph wavelets. Unlike previously proposed wavelet transforms for video, which were based on separate spatial and temporal filtering, this approach allows joint spatio-temporal filtering to be used. This added flexibility leads to improved compression results as compared to previously proposed wavelet-based video representations.

Antonio Ortega received the Telecommunications Engineering degree from the Universidad Politecnica de Madrid, Madrid, Spain in 1989 and the Ph.D. in Electrical Engineering from Columbia University, New York, NY in 1994. At Columbia he was supported by a Fulbright scholarship. In 1994 he joined the Electrical Engineering Department at the University of Southern California (USC), where he is currently a Professor. He currently serves as Associate Chair of EE-Systems and as was previously a director of the Signal and Image Processing Institute at USC. He is a Fellow of the IEEE, and a member of ACM. He has been Chair of the Image and Multidimensional Signal Processing (IMDSP) technical committee and a member of the Board of Governors of the IEEE Signal Processing Society (2002). He has been technical program co-chair of ICIP 2008, MMSP 1998 and ICME 2002. He has been Associate Editor for the IEEE Transactions on Image Processing, the IEEE Signal Processing Letters and the EURASIP Journal on Advances in Signal Processing . He received the NSF CAREER award, the 1997 IEEE Communications Society Leonard G. Abraham Prize Paper Award, the IEEE Signal Processing Society 1999 Magazine Award, the 2006 EURASIP Journal of Advances in Signal Processing Best Paper Award, and the ICIP 2011 best paper award. His research interests are in the areas of multimedia compression, communications and signal analysis. His recent work is focusing on distributed compression, multiview coding, error tolerant compression, wavelet-based signal analysis and information representation in wireless sensor networks. His work at USC has been or is being funded by agencies such as NSF, NASA, DOE, as well as a number of companies. More than 30 Ph.D. students have completed their Ph.D. thesis under his supervision at USC and his work has led to more than 250 publications in international conferences and journals.

Alexander (Sandy) Sawchuk, Systems Chair of the Ming Hsieh Department of Electrical Engineering, said: "Our department joins me in congratulating Antonio Ortega and his research collaborators for their Best Paper Award at 2011 IEEE International Conference on Image Processing (ICIP). This award is an important confirmation of the quality and significance of his research in compression, signal processing and communications."