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A support vector machine based fast planar prediction mode decision algorithm for versatile video coding
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DOI：10.1007/s11042-022-12582-z.png)
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Abstract
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Versatile Video Coding (VVC/H.266) expands the intra-frame prediction modes from 35 of H.265 to 67, which not only improves the prediction accuracy and coding efficiency of the encoder but also increases its encoding complexity. In response to this problem, this paper proposes a support vector machine-based fast planar prediction mode decision algorithm for VVC/H.266, which is used to quickly determine the Planar or non-Planar prediction modes during intra coding, avoiding the rate-distortion optimization calculation of multiple intra prediction modes, and thus reducing the encoding time. The contributions of this paper are: 1) It proposes a novel feature based on Statistical Oriented Gradient (SOG) to extract the feature information of the coding block; 2) Based on the SOG feature, a support vector machine-based method is proposed to make the decision between the Planar and non-Planar modes for intra coding of VVC/H.266. The proposed algorithm has been integrated into the VVC/H.266 standard coder, VTM5.0. The experimental results show that, compared with VTM5.0, the encoding time of the proposed algorithm is reduced by 18.0% on average, while the Bjontegaard-Delta -Rate (BD-RATE) increased by only 1.3%.
Keywords:
Versatile video coding
Support vector machine
Mode decision
Intra prediction
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