Cart (Loading....) | Create Account
Close category search window
 

Adaptive transform coding with multi-band vector quantization for video signals

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
$31 $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

2 Author(s)
Fong, C. ; Martin Marietta Lab., Baltimore, MD, USA ; Baraniecki, M.

A hybrid video coding algorithm based on the combination of motion compensation, the discrete cosine transform, and a bank of adaptive N-dimensional vector quantizers (AVQ) is described. The motion estimation and compensation are performed in the pixel domain on a block-by-block basis. Only the blocks with significant prediction errors are transformed and vector quantized. The blocks are decomposed into bands with variable width using zig-zag ordering. Adaptivity to input signal statistics is achieved by identification of the prediction errors and various AC-energy thresholds, which are used as keys to classify the blocks into four types and assign bits to them adaptively from frame to frame. The results of application of this image compression technique to test images are presented, showing good performance at 128 and 256 kb/s

Published in:

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Date of Conference:

11-14 Apr 1988

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.