Backward context adaptive interframe coding

Wenqing Jiang; Antonio Ortega

doi:10.1117/12.298327

9 January 1998 Backward context adaptive interframe coding

Wenqing Jiang, Antonio Ortega

Proceedings Volume 3309, Visual Communications and Image Processing '98; (1998) https://doi.org/10.1117/12.298327
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

This paper presents a backward context adaptive coder for motion-compensated difference frames based on a mixture density model. In this model, each pixel is assumed to be generated from a random source with probability distribution conditioned on the interframe context which consists of the local intensity context and the local displacement vector context. To estimate this conditional probability distribution, a backward adaptive nonparametric approach is chosen in our work due to its fast adaptivity to the input data characteristics. Once this probability distribution is found, each pixel can then be coded by using the corresponding entropy coder. As an application, we modified Telenor's TMN5 H.263 algorithm based on this context adaptive coding idea and implemented a hybrid interframe coder. Our simulation results show that the coding performance at 8kbps is comparable to that of H.263 without obvious blocking effects and our coder can also be implemented with lower complexity.

Citation Download Citation

Wenqing Jiang and Antonio Ortega "Backward context adaptive interframe coding", Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); https://doi.org/10.1117/12.298327

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available