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
Abstract
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.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Subjects: | Computer Science > Video compression Computer Science > Image processing |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies |
Official URL: | http://dx.doi.org/10.1109/ISM.2009.12 |
Copyright Information: | ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Funders: | Samsung Electronics, Science Foundation Ireland, SFI 07/CE/I1147 |
ID Code: | 14828 |
Deposited On: | 08 Sep 2009 14:17 by Hyowon Lee . Last Modified 09 Nov 2018 10:12 |
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