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Fast Intra-Prediction Model Selection for H.264 Codec

2008-6-25 10:03

Fast Intra-Prediction Model Selection for H.264 Codec

Fast Intra-Prediction Model Selection for H.264 Codec
Chang-sung Kim, Qing Li and C.-C. Jay Kuo
Integrated Media Systems Center and Department of Electrical Engineering
University of Southern California, Los Angeles, CA 90089-2564
ABSTRACT
We investigate the encoding speed improvement for H.264 with a special focus on fast intra-prediction mode
selection in this work. It is possible to adopt the rate-distortion (RD) optimized mode in H.264 to maximize
the coding gain at the cost of a very high computational complexity. To reduce the complexity associated
with the intra-prediction mode selection, we propose a two-step fast algorithm. In the first step, we make a
course-level decision to split all possible candidate modes into two groups: the group to be examined further
and the group to be ignored. The sizes of these two groups are adaptively determined based on the block
activities. Then, in the second step, we focus on the group of interest, and consider an RD model for final
decision-making. It is demonstrated by experiment results that the proposed scheme peRForms 5 to 7 time
faster than the current H.264 encoder (JM5.0c) with little degradation in the coding gain.
Keywords: H.264/JVT, Intra prediction, encoder complexity, Intra mode decision.

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