Share Email Print

Proceedings Paper

Efficient probability based macroblock mode selection in H.264/AVC
Author(s): Yali Liu; Kun Tang; Huijuan Cui
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

To get high compress efficiency, the latest H.264/AVC international video coding standard introduced many more advanced tools than previously used standards, such as using sophisticated prediction and rate-distortion (RD) mode selection. Although these new coding tools can significantly improve video coding efficiency, the improvement in performance comes at substantially higher computational complexity as a result of more complicated mode decision. To reduce the complexity of H.264 encoding, various fast mode decision algorithms have been proposed. Many of these algorithms take advantage of motion and video content classification so as to reduce the number of modes tried during mode decision. When used for video sequences with high motion or detailed visual information, video coding e±ciency can be significantly compromised as a result of imperfect classification. In this paper, an efficient Probability Based Macroblock Mode Selection (PBMMS) algorithm is proposed. Each MB is predicted to different probability MB based on spatial and special correlation, which then leads to 50-60% computation savings and some compression performance improvements over existing H.264 fast mode decision algorithms.

Paper Details

Date Published: 31 July 2006
PDF: 9 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596037 (31 July 2006); doi: 10.1117/12.631566
Show Author Affiliations
Yali Liu, Tsinghua Univ. (China)
Kun Tang, Tsinghua Univ. (China)
Huijuan Cui, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top