Title :
Bit-inverted Gray coded bit-plane matching for low complexity motion estimation
Author :
Changryoul Choi;Jechang Jeong
Author_Institution :
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea
Abstract :
In this paper, a bit-inverted Gray coded bit-plane matching algorithm is proposed for low complexity motion estimation. Unlike the typical Gray coded bit-plane matching algorithms, the proposed algorithm uses bit-inverted Gray codes for transforming image frames and a corresponding extended matching criterion to enhance the motion estimation accuracy. Experimental results show that the proposed algorithm outperforms other bit-plane matching based motion estimation algorithms while preserving the binary matching characteristic.
Keywords :
"Measurement","Motion estimation","Algorithm design and analysis","Computational complexity","Reflective binary codes","Transforms"
Conference_Titel :
Pervasive and Embedded Computing and Communication Systems (PECCS), 2015 International Conference on
