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Efficient intra mode decision Via statistical learning
Conference paper   Peer reviewed

Efficient intra mode decision Via statistical learning

Chiuan Hwang and Shang-Hong Lai
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.4810 LNCS, pp.148-157
2007

Abstract

Image analysis Image coding Intra prediction Video codec Video coding Video compression
Intra mode selection and motion estimation for spatial and temporal prediction play important roles for achieving high video compression ratio in the latest video coding standards, such as H.264/AVC However, both components take most of the computational cost in the video encoding process. In this paper, we propose an efficient intra mode prediction algorithm based on using the mode conditional probability learned from a large amount of training video sequences with the ground truth modes of each block to be encoded and its neighboring block modes as well as its associated image content features. By applying the proposed intra-mode selection algorithm into the H.264 reference code, we show significant reduction of the computation time with negligible video quality degradation for H.264 video encoding. © Springer-Verlag Berlin Heidelberg 2007.

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