A Decision Tree-Based Intra-frame Fast Coding Algorithm for HEVC Screen Content
A fast encoding and screen content technology, applied in the field of video encoding and decoding, can solve the problems of not being able to reduce the complexity of video types, and achieve the effect of reducing encoding complexity, reducing encoding time, and fast intra-frame encoding
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[0066] refer to figure 1 and figure 2 , the present invention mainly includes two modules: a CU fast division module and a PU mode selection module. The CU division includes three decision trees with depths of 0, 1, and 2. The PU mode selection includes four decision tree models with a depth of 0 to 3 and PU traversal for each layer. The model is based on the selected specific video frame, extracting the original data to form the original data set, and then generating the decision tree model through the machine learning decision tree algorithm, in which the values of each branch node are provided by the machine learning algorithm, and each value is: α 01 = 16.677, β 01 =2.069,α 11 =29.5,α 12 =73.132,β 11 =3.5,β 12 =0.709,β 21 =11.5,β 22 = 51.098, gamma 01 = 11.5, gamma 11 = 21, gamma 12 =6.34,λ 11 =21,λ 21 =20.842,λ 22 = 26.53, gamma 22 = 6.131, γ 31 =20.99,λ 31 =55.05,λ 32 = 0.988.
[0067] combine image 3 In the example diagram, the image in the diagr...
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