By Topic

A low energy adaptive hardware for H.264 multiple reference frame motion estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Aydin Aysu ; Fac. of Eng. & Natural Sci., Sabanci Univ., Istanbul, Turkey ; Gokhan Sayilar ; Ilker Hamzaoglu

Multiple reference frame motion estimation (MRF ME) increases the video coding efficiency at the expense of increased computational complexity and energy consumption. Therefore, in this paper, a low complexity H.264 MRF ME algorithm and a low energy adaptive hardware for its real-time implementation are proposed. The proposed MRF ME algorithm reduces the computational complexity of MRF ME by using a dynamically determined number of reference frames for each Macroblock (MB) and early termination. The proposed H.264 MRF ME hardware is implemented in Verilog HDL. The proposed H.264 MRF ME hardware has 29-72% less energy consumption than an H.264 MRF ME hardware using 5 reference frames for all MBs with a negligible PSNR loss. Therefore, it can be used in consumer electronics products that require real-time video processing or compression with low power consumption.

Published in:

IEEE Transactions on Consumer Electronics  (Volume:57 ,  Issue: 3 )