Paper Info
Title
Linear hashtable motion estimation algorithm for distributed video processing
Abstract
This paper presents a parallel Linear Hashtable Motion Estimation Algorithm (LHMEA). Most parallel video compression algorithms focus on Group of Picture (GOP). Based on LHMEA we proposed earlier [1][2], we developed a parallel motion estimation algorithm focus inside of frame. We divide each reference frames into equally sized regions. These regions are going to be processed in parallel to increase the encoding speed significantly. The theory and practice speed up of parallel LHMEA according to the number of PCs in the cluster are compared and discussed. Motion Vectors (MV) are generated from the first-pass LHMEA and used as predictors for second-pass Hexagonal Search (HEXBS) motion estimation, which only searches a small number of Macroblocks (MBs). We evaluated distributed parallel implementation of LHMEA of TPA for real time video compression.
Year
DOI
Venue
2006
10.1007/11823285_82
Euro-Par
Keywords
Field
DocType
linear hashtable motion estimation,motion vectors,parallel linear hashtable motion,parallel implementation,motion estimation,video processing,real time video compression,encoding speed,parallel motion estimation algorithm,first-pass lhmea,parallel lhmea,parallel video compression algorithm,real time,parallel algorithm,reference frame,distributed computing,video compression
Reference frame,Video processing,Parallel algorithm,Computer science,Parallel computing,Parallel motion,Algorithm,Real-time computing,Distributed algorithm,Motion estimation,Data compression,Image compression
Conference
Volume
ISSN
ISBN
4128
0302-9743
3-540-37783-2
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
Yunsong Wu163.07
Graham Megson2134.03