Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100015
