Motion Estimation in
Video Coding using Simplified Optical Flow Technique
Eskinder Ayele and Sanjay
Dhok Center for VLSI and Nanotechnology,
Visvesvaraya National Institute of Technology, India
Abstract: We propose an
interpolationfree subpixel motion estimation technique that particularly aims
at providing accurate motion vectors, where conventional subpixel
interpolation motion estimation algorithms used in video coding are too complex
and time consuming. The proposed algorithm is a combination of block matching
algorithms and simplified optical flow, which is Taylor approximation. The
technique does not require any pixel interpolation and it is much faster than
conventional motion estimation methods. Statistical results illustrate that the
new technique performs quickly and accurately with a compatible performance
with respect to the benchmarking full search algorithm.
Keywords: Subpixel motion
estimation, block matching, interpolation, interpolationfree, optical flow.
Received November
11, 2013; accepted November 25, 2014