Novel intermode decision algorithm in H.264/AVC

Liquan Shen; Zhi Liu; Zhao-Yang Zhang; Leirui Wang; Guozhong Wang

doi:10.1117/1.2841715

1 January 2008 Novel intermode decision algorithm in H.264/AVC

Liquan Shen, Zhi Liu, Zhao-Yang Zhang, Leirui Wang, Guozhong Wang

Author Affiliations +

Journal of Electronic Imaging, Vol. 17, Issue 1, 013006 (January 2008). https://doi.org/10.1117/1.2841715

Abstract

H.264/AVC employs variable-size motion compensation with multiple reference frames that can significantly improve the coding performance compared with the previous video coding standards. However, the computational complexity of the H.264/AVC encoder increases dramatically due to the various size modes used. One of the most challenging problems in implementing this encoder is mode decision. We propose a novel intermode decision algorithm (NIMDA) to reduce the candidate mode set, which utilizes two basic elements, the sum absolute difference (SAD) of each 4×4 block from the initial test of the inter-16×16 and the texture characteristic. Simulation results show that our proposed algorithm can save about 46% in computational complexity, with negligible loss of coding efficiency.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Liquan Shen, Zhi Liu, Zhao-Yang Zhang, Leirui Wang, and Guozhong Wang "Novel intermode decision algorithm in H.264/AVC," Journal of Electronic Imaging 17(1), 013006 (1 January 2008). https://doi.org/10.1117/1.2841715

Published: 1 January 2008

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