Share Email Print

Proceedings Paper

Comparative assessment of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders for low-delay video applications
Author(s): Dan Grois; Detlev Marpe; Tung Nguyen; Ofer Hadar
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The popularity of low-delay video applications dramatically increased over the last years due to a rising demand for realtime video content (such as video conferencing or video surveillance), and also due to the increasing availability of relatively inexpensive heterogeneous devices (such as smartphones and tablets). To this end, this work presents a comparative assessment of the two latest video coding standards: H.265/MPEG-HEVC (High-Efficiency Video Coding), H.264/MPEG-AVC (Advanced Video Coding), and also of the VP9 proprietary video coding scheme. For evaluating H.264/MPEG-AVC, an open-source x264 encoder was selected, which has a multi-pass encoding mode, similarly to VP9. According to experimental results, which were obtained by using similar low-delay configurations for all three examined representative encoders, it was observed that H.265/MPEG-HEVC provides significant average bit-rate savings of 32.5%, and 40.8%, relative to VP9 and x264 for the 1-pass encoding, and average bit-rate savings of 32.6%, and 42.2% for the 2-pass encoding, respectively. On the other hand, compared to the x264 encoder, typical low-delay encoding times of the VP9 encoder, are about 2,000 times higher for the 1-pass encoding, and are about 400 times higher for the 2-pass encoding.

Paper Details

Date Published: 23 September 2014
PDF: 10 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92170Q (23 September 2014); doi: 10.1117/12.2073323
Show Author Affiliations
Dan Grois, Fraunhofer Heinrich Hertz Institute (Germany)
Detlev Marpe, Fraunhofer Heinrich Hertz Institute (Germany)
Tung Nguyen, Fraunhofer Heinrich Hertz Institute (Germany)
Ofer Hadar, Ben-Gurion Univ. of the Negev (Israel)

Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?