A High Quality Adjustable Complexity Motion Estimation Algorithm For Video Encoders

Document type: Conference Papers
Peer reviewed: Yes
Full text:
Author(s): Muhammad Shahid, Andreas Rossholm, Benny Lövström
Title: A High Quality Adjustable Complexity Motion Estimation Algorithm For Video Encoders
Conference name: International Congress on Image and Signal Processing (CISP)
Year: 2011
Pagination: 507-511
ISBN: 978-1-4244-9304-3
Publisher: IEEE
City: Shanghai
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Electrical Engineering (Sektionen för ingenjörsvetenskap - Avd. för elektroteknik)
School of Engineering S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/ing/
Authors e-mail: muhammad.shahid@bth.se
Language: English
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.
Subject: Signal processing\Image and Video Processing
Keywords: Motion Estimation, Video Coding, MPEG-4
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