Fast Motion Estimation Algorithm Based on H.264

Author

Jian Chen ; Xia Mao ; Li-jiang Chen

Author_Institution

Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China

fYear

2013

fDate

20-23 Aug. 2013

Firstpage

359

Lastpage

365

Abstract

In order to reduce the complexity and the time of motion estimation in H.264, a fast motion estimation algorithm based on H.264 is proposed. In this algorithm, suitable mode types are chosen according to texture characteristics of the macro block, and motion estimation is ended in advance according to time correlation of video images for each predication mode of the mode types. Therefore, the number, the complexity and the time of motion estimation are reduced. Experiments show that the algorithm could reduce the encoding time greatly without noticeable variation of peak signal-to-noise ratio and code flow bit rate.

Keywords

image texture; motion estimation; video coding; H.264; code flow bit rate; fast motion estimation algorithm; macroblock; peak signal-to-noise ratio; predication mode; texture characteristics; video images time correlation; Complexity theory; Correlation; Encoding; Motion estimation; Prediction algorithms; Standards; Video coding; H.24; motion estimation; texture characteristic; time correlation;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing

Conference_Location

Beijing

Type

conf

DOI

10.1109/GreenCom-iThings-CPSCom.2013.79

Filename

6682093