H.264/AVC deblocking filter correlation analysis in embedded systems

Yunyang Dai; Qi Zhang; Qing Li; C.-C. Jay Kuo

doi:10.1117/12.589738

8 March 2005 H.264/AVC deblocking filter correlation analysis in embedded systems

Yunyang Dai, Qi Zhang, Qing Li, C.-C. Jay Kuo

Proceedings Volume 5683, Embedded Processors for Multimedia and Communications II; (2005) https://doi.org/10.1117/12.589738
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

The performance improvement of the in-loop deblocking filter module in the H.264/AVC video coding standard in embedded systems is studied in this research. A novel prediction scheme is presented in to reduce the complexity of the filter selection process and hence increase overall performance. We first examine the H.264/AVC deblocking filters by studying their correlation in terms of the filter type and pattern among a sequence of consecutive P frames and I frames. The experimental results show a high correlation of the filter skip rate and the filter pattern between different P frames and their leading I frame. Based on the correlation analysis, a binary history table predictor (the BHT predictor) and a complete history table predictor (the CHT predictor) are proposed to facilitate the deblocking filter selection process while maintaining good subjective and objective visual quality. We further present a hybrid filter prediction scheme that integrates both BHT and CHT to further improve prediction results.

Citation Download Citation

Yunyang Dai, Qi Zhang, Qing Li, and C.-C. Jay Kuo "H.264/AVC deblocking filter correlation analysis in embedded systems", Proc. SPIE 5683, Embedded Processors for Multimedia and Communications II, (8 March 2005); https://doi.org/10.1117/12.589738

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