IEEE Seminar Announcement

Abstract: Due to the revolutionary knowledge that researchers gained in understanding the human brain in the last couple of decades, and because of the promising performance of designed models that characterizes the human visual system (HVS), designing and developing image coders that correlate well with the human perception has became very superior/promising. However there are still some parts of HVS that can be explored to enhance the image compression performance. Image classification based on HVS is also a very immature area of research. This is due to the fact that humans are the ends users of visual data.

In this talk an overview about the human visual system will be given with emphasis on its limitations when perceiving the image content. The talk will also present different methods/ approaches of exploiting HVS in image compression and classification along with examples about how HVS can be used in biometrics.

Speaker Bio: Gamal Fahmy received his Bsc and Msc from University of Assiut, Egypt in 1996 and 1998, respectively. He finished his Ph.D in May 2003 from the Electrical Engineering Department at Arizona State University. His research interests include Image Compression/Classification, Image retrieval, biometrics and Characterizing Visual Data based on Human Perception.
Dr Fahmy is currently a Research Assistant Professor at West Virginia University. He is working in Collaboration with the Federal Bureau Investigation Research Center and the Criminal Justice Information Service division on an Automated Dental Identification system, funded by the National Science Foundation and the National Institute of Justice.