By Topic

A New Video Compression Scheme Combining Conditional Replenishment and Address Event Representation

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)
Harry. L. Hu ; Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology ; Amine Bermak ; Dominique Martinez

A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where image signals are compressed on the sensor level by employing the conditional replenishment algorithm. The intensity value of each pixel is compared to the last replenished frame. If the magnitude of the difference exceeds a certain threshold, the pixel value is quantized by 1-bit Fast Boundary Adaptation Rule (FBAR), while the address of the pixel is located and read-out by the AER method. Simulation result shows that a compression ratio of 11.73 can be achieved while obtaining a PSNR value of 35.22dB. Bandwidth requirement is reduced since pixel intensity levels are ordered before applying 1-bit adaptive quantization. Simulation was also performed on the raster scanning read-out case for the sake of comparison.

Published in:

2007 IEEE Workshop on Signal Processing Systems

Date of Conference:

17-19 Oct. 2007