Adaptive intra mode skipping algorithm for inter frame coding of H.264/AVC

Changcai Lai; Chongyang Hao; Yinglai Xi; Xiangyu Shen

doi:10.1117/12.632511

24 June 2005 Adaptive intra mode skipping algorithm for inter frame coding of H.264/AVC

Changcai Lai, Chongyang Hao, Yinglai Xi, Xiangyu Shen

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 596020 (2005) https://doi.org/10.1117/12.632511
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

Compared to contemporary video coding standards, the H.264 standard achieves higher compression efficiency at the expense of high computational complexity at the encoder to carry out rate distortion optimization (RDO). In this paper, we investigated the encoding speed improvement technology of H.264 and focus on RDO to select the encode mode for fast coding of H.264. Based on the analysis of motion activity information of the macroblock to be coded in inter frame, we proposed a methodology to simplify the computation of encoder while maintaining the coding efficiency. At first, we established the relationships between INTRA mode and motion activity in inter frame. Then the INTRA mode skipping algorithm (IMSA) is proposed and applied to RDO procedure. If the motion activity of a macroblock is small enough, then IMSA adaptively skips the whole INTRA mode decision process because the encoder benefits little from such type of macroblocks. Simulation results demonstrate its valuable efficiency of considerably reducing 30%~60% encoding complexity while incurring little even no loss in quality and increase in bit rate. Additionally, it is easier than other published fast mode decision algorithms and more efficient when working together with them.

Citation Download Citation

Changcai Lai, Chongyang Hao, Yinglai Xi, and Xiangyu Shen "Adaptive intra mode skipping algorithm for inter frame coding of H.264/AVC", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596020 (24 June 2005); https://doi.org/10.1117/12.632511

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