Fast prediction direction decision method for efficient video coding
A high-efficiency video coding and prediction direction technology, applied in the field of video coding, can solve the problem of high coding complexity, achieve the effect of improving coding speed, reducing the number of prediction directions, and saving coding time
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specific Embodiment approach 1
[0027] Specific implementation mode 1: This implementation mode describes the implementation process of a fast prediction direction decision-making method for high-efficiency video coding. The flow chart is as follows Figure 4 Shown; A kind of fast prediction direction decision-making method for high-efficiency video coding that the present invention proposes comprises the following steps:
[0028] Step 1. Determine whether the coding depth of the coding layer where the current PU is located in the tree coding structure is 0; if yes, construct the initial candidate prediction direction list CL 0 , then, go to step 3; otherwise, go to step 2; where, the initial list of candidate prediction directions CL 0Including Planar mode, DC mode, and prediction directions with even numbers (see figure 1 ), as shown in formula (3):
[0029] CL 0 ={0,1}∪{2,4,...,34} (3)
[0030] In the formula, 0 means Planar mode, 1 means DC mode, 2, 4, ..., 34 means 17 prediction directions with even...
specific Embodiment approach 2
[0048] Embodiment 2: This embodiment differs from Embodiment 1 in that the value of λ in step 5 is set to 1.5. This setting is to ensure that the encoding performance of the HEVC standard is not lost, and at the same time save as much encoding time as possible.
[0049] Validate the method of invention
[0050] A fast prediction direction decision-making method for high-efficiency video coding proposed in the present invention is integrated into the HM13.0 open source reference software developed by JCT-VC. In order to verify the effectiveness of the present invention, 17 standard video sequences recommended by JCT-VC covering 5 resolutions (Class A-Class E) were used in the test. Among them, Class A is an ultra-clear video sequence with a resolution of 2560×1600; Class B and Class E are 1080P (with a resolution of 1920×1080) and 720P (with a resolution of 1280×720) high-definition video sequences; Class D is respectively WVGA (resolution is 832×480) and WQVGA (resolution is...
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Abstract
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