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What You See Is What You Learn- Video Processing Education

Professor Al Bovik's research interests broadly span the areas of digital video, image processing, and computational aspects of biological visual perception. In the September issue of IEEE Signal Processing Magazine, Dr. Bovik published a 7 page-long article, not on his exciting research, but on how to optimize the educational experience of students learning the subject of video processing.

Activity Report from the Design and Implementation of Signal Processing Systems (DISPS) Technology Committee

The purpose of the Designa and Implementation of Signal Processing Systems Technical Committee (DISPS TC) is to promote and support activities of the IEEE Signal Processing Society in the areas of: Design, development and implementation of signal processing systems; Design of algorithms with implementation in mind; Design of software tools and methodologies to support the design of signal processing systems.

Ping-Hao Wu (University of Southern California), “Efficient Management Techniques for Large Scale Video” (2010)

Ping-Hao Wu (University of Southern California), “Efficient Management Techniques for Large Scale Video” Advisor: C.-C. Jay Kuo (2010) In this dissertation, two techniques regarding the management of large video collections are investigated. First, a fast and robust duplicate video detection system is proposed. It matches video clips according to their temporal structures, which can be represented by frames that mark important events. Camera transitional behaviors are used to indicate such events.