Academic Journals Database
Disseminating quality controlled scientific knowledge

Block-Based Motion Estimation Using the Pixelwise Classification of the Motion Compensation Error

Author(s): Jun-Yong Kim | Rae-Hong Park | Seungjoon Yang

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 3;
Issue: 5;
Start page: 01;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Block Matching Algorithm | Motion Estimation | Brightness Constancy Constraint | Pixel Classification | Overlapped Block Motion Compensation

In this paper, we propose block-based motion estimation (ME) algorithms based on the pixelwise classification of two different motion compensation (MC) errors: 1) displaced frame difference (DFD) and 2) brightness constraint constancy term (BCCT). Block-based ME has drawbacks such as unreliable motion vectors (MVs) and blocking artifacts, especially in object boundaries. The proposed block matching algorithm (BMA)-based methods attempt to reduce artifacts in object-boundary blocks caused by incorrect assumption of a single rigid (translational) motion. They yield more appropriate MVs in boundary blocks under the assumption that there exist up to three nonoverlapping regions with different motions. The proposed algorithms also reduce the blocking artifact in the conventional BMA, in which the overlappedblock motion compensation (OBMC) is employed especially to the selected regions to prevent the degradation of details. Experimental results with several test sequences show the effectiveness of theproposed algorithms.
RPA Switzerland

Robotic Process Automation Switzerland


Tango Jona
Tangokurs Rapperswil-Jona