Abstract: Development of multimedia systems over the past three decades has been truly revolutionary. There is a growing demand for multimedia applications in diverse application areas, such as medical imaging, telemedicine, content-based image analysis, compression, and so on. These challenges required significant innovation in computational techniques for nearly all aspects of image processing as used in the various fields, especially in extending from two-dimensional (2D) images to three-dimensional (3D) volumetric images. Of special interest are segmentation and motion estimation techniques which will be addressed in this presentation. Focus will be on presenting a novel framework for a four-dimensional medical data compression architecture based on different procedures and algorithms that detect time and spatial redundancy in the context of recorded Magnetic Resonance Imaging data.

Short Bio: Dr. Martin Žagar has PhD in Computer Science from the University of Zagreb, MBA from Cotrugli Business School, and MS from the University of Zagreb. He is an Assistant Professor at the University of Zagreb, College of Electrical Engineering and Computing, Department of Control and Computer Engineering. Dr. Žagar works in the area of multimedia applications, computer architecture and telemedicine. He is an associate editor for several research journals. Dr. Žagar has received a number of awards, including one from the Croatian Academy of Engineering.