Low computational complexity variable block size (VBS) partitioning for motion estimation using the Walsh Hadamard transform (WHT)
Kim, Chanyul and O'Connor, Noel E.ORCID: 0000-0002-4033-9135
(2009)
Low computational complexity variable block size (VBS) partitioning for motion estimation using the Walsh Hadamard transform (WHT).
In: ISM 2009 - IEEE International Symposium on Multimedia, 14-16 December, 2009, San Diego, California, USA.
ISBN 978-1-4244-5231-6
Variable Block Size (VBS) based motion estimation has
been adapted in state of the art video coding, such as
H.264/AVC, VC-1. However, a low complexity H.264/AVC
encoder cannot take advantage of VBS due to its power consumption
requirements. In this paper, we present a VBS partition
algorithm based on a binary motion edge map without
either initial motion estimation or Rate-Distortion (R-D)
optimization for selecting modes. The proposed algorithm
uses the Walsh Hadamard Transform (WHT) to create a binary
edge map, which provides a computational complexity
cost effectiveness compared to other light segmentation
methods typically used to detect the required region.