Title :
A novel motion estimation method for mesh-based video motion tracking
Author :
Sayed, Mohammed ; Badawy, Wael
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Abstract :
This paper presents a novel motion estimation method for mesh-based video motion tracking. The proposed method has been called the mesh-based square-matching (MB-SM) motion estimation method. The MB-SM method outperforms the commonly used motion estimation methods in terms of computational cost reduction, efficiency and image quality (i.e. peak signal to noise ratio (PSNR)). It yields comparable PSNR values to the hexagonal matching method while it has lower computation complexity.
Keywords :
image matching; mesh generation; motion estimation; video signal processing; MB-SM method; PSNR; computation complexity reduction; computational cost reduction; estimation efficiency; hexagonal matching method; image quality; mesh-based square-matching motion estimation method; mesh-based video motion tracking; motion estimation method; peak signal to noise ratio; Computational efficiency; Computational modeling; Decoding; Drives; Image quality; Motion control; Motion estimation; PSNR; Topology; Tracking;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326550