Low-Complexity DC-Compensated Weighted 2BT-Based Motion Estimation

Author

Choi, Changryoul ; Jeong, Jechang

Author_Institution

Dept. of Electron. & Commun. Eng., Hanyang Univ., Seoul, South Korea

fYear

2010

fDate

15-17 Oct. 2010

Firstpage

268

Lastpage

271

Abstract

A low complexity DC-compensated weighted two-bit transform (2BT) based multiple candidate motion estimation algorithm is proposed in this paper. By exploiting almost the identical operations in two different matching error criteria and incorporating the DC-term into them, we can efficiently determine two best motion vectors according to the respective matching criteria and can enhance the overall motion estimation accuracy. Experimental results show that the proposed algorithm achieves peak-to-peak signal-to-noise ratio (PSNR) gains about 0.83 dB on average compared with the conventional 2BT-based motion estimation with negligible complexity increase.

Keywords

motion estimation; transforms; video coding; Low-Complexity DC-Compensated Weighted 2BT-based Motion Estimation; matching error; motion vector; multiple candidate motion estimation algorithm; peak-to-peak signal-to-noise ratio; two-bit transform; video coding; Accuracy; Artificial neural networks; Computational complexity; Motion estimation; PSNR; Transforms; block matching; full-search; motion estimation; two-bit transform; video coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on

Conference_Location

Darmstadt

Print_ISBN

978-1-4244-8378-5

Electronic_ISBN

978-0-7695-4222-5

Type

conf

DOI

10.1109/IIHMSP.2010.74

Filename

5638027