A high quality adjustable complexity motion estimation algorithm for video encoders

Author

Shahid, Muhammad ; Rossholm, Andreas ; Lövström, Benny

Author_Institution

Sch. of Eng., Dept. of Electr. Eng., Blekinge Inst. of Technol., Karlskrona, Sweden

Volume

1

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

507

Lastpage

511

Abstract

In the video encoding process, the motion estimation usually consumes a large part of the encoder computations. This paper presents motion estimation techniques, targeted mainly for MPEG-4 video encoding but also applicable for other video codecs e.g. H.264. A high quality adaptive algorithm with adjustable complexity, based on partially blind prediction for motion estimation, is proposed. The computational complexity of motion estimation is reduced with minor loss in the video quality. In the paper, the quality metrics PSNR, BD PSNR and PEVQ are used, and the possible trade off between complexity and visual quality is studied.

Keywords

computational complexity; motion estimation; video coding; BD PSNR quality metrics; H.264 video codec; MPEG-4 video encoding; PEVQ quality metrics; adaptive algorithm; adjustable complexity motion estimation algorithm; computational complexity; partially blind prediction; video encoder; video encoding process; video quality; visual quality; Complexity theory; Encoding; Measurement; Motion estimation; PSNR; Prediction algorithms; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100015

Filename

6100015