High-efficiency video coding (hevc), which is the latest video coding standard, is expected to have a dominant position in the market in the near future. However, most video resources are now encoded using the H.264/A...
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High-efficiency video coding (hevc), which is the latest video coding standard, is expected to have a dominant position in the market in the near future. However, most video resources are now encoded using the H.264/AVC standard. Consequently, there is a growing need for fast H.264/AVC to hevc transcoders to facilitate the migration to the updated standard. This paper proposes a fast H.264/AVC to hevc transcoding scheme, which constructs a three-level classifier using an optimised tree-augmented Naive Bayesian approach to predict the hevc coding unit depth. A feature selection method is then proposed to improve prediction accuracy. A motion vector (MV) calculation method is also proposed to reduce the complexity of MV prediction in hevc by reusing MVs from H.264/AVC. Experimental results show that, compared with other state-of-the-art transcoding algorithms, the proposed algorithm considerably reduces coding complexity while causing only negligible rate-distortion degradation.
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