BrainSurge

Speaker: Parisa Behnamfar

Topic: An introduction to the motion estimation techniques in video codecs

Widespread application of digital video images has increased the demand to store such data in finite memory space and to transmit them over channels with limited bandwidth. This increasing demand represents a critical need to compress video images. Since in most cases, successive video frames contain the same objects, “motion estimation” techniques examin the movement of objects in an image to define the differences between two consecutive frames. Then the compression algorithms store the first frame and then just the extra information produced by the motion estimation technique. In this way, lots of the temporal redundancy due to the high correlation between consecutive frames would be eliminated, resulting in a very high compression ratio. This talk is going to introduce some of the most common motion estimation techniques, their advantages and their drawbacks.

BIOGRAPHY
Parisa Behnamfar has got her B.Sc. and M.Sc. both in Electrical Engineering from Isfahan University of Technology, Isfahan, Iran. She is now PhD student and research assistant in the System on Chip lab of the Electrical and Computer Engineering Department, University of British Columbia.