Paper Info
Title
The Design of Improved Motion Estimation Algorithm for H.264 Based on GA
Abstract
An improved algorithm of motion estimation is proposed based on H.264 coding standard in this paper. The basic principle of motion estimated is analyzed at first. Then the improved algorithm is designed. This algorithm makes improvements in selection of muti-reference frames, initial point of searching and process of searching. Especially an improved genetic algorithm is adopted in process of searching, and it is of important role in speeding up the motion estimation procedure. The experimental results show that compared with other fast search approaches, such as the full searching and the three steps searching, this algorithm improves coding efficiency and keeps excellent image quality. Moreover, it also has good stability. As a consequence, this improved algorithm has great practical utility.
Year
DOI
Venue
2010
10.1109/ICEE.2010.410
ICEE
Keywords
Field
DocType
h.264 coding standard,image quality,fast search approach,improved motion estimation algorithm,basic principle,h.264,genetic algorithm(ga),digital video,improved genetic algorithm,motion estimation,genetic algorithm,video coding,multi-references,genetic algorithms,motion estimation algorithm,motion estimation procedure,excellent image quality,improved algorithm,good stability,reference frame,algorithm design and analysis,computational complexity,genetics,encoding
Computer science,Knowledge management,Image quality,FSA-Red Algorithm,Artificial intelligence,Motion estimation,Population-based incremental learning,Genetic algorithm,Computer vision,Algorithmic efficiency,Algorithm design,Algorithm,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
978-0-7695-3997-3
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Qianqi Le142.07
Feng Yang2184.42
HongTao Jiang310.70