An implementation method for quick conversion and quantification of video coding
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A technology of fast conversion and implementation method, applied in the field of video coding, which can solve the problems of difficult real-time processing of the encoder and no all-zero block detection, etc., and achieve the effects of reducing computational complexity, increasing encoding speed, and improving encoding efficiency
Inactive Publication Date: 2008-06-04
SICHUAN PANOVASIC TECH
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[0012] The implementation process of transform and quantization in the existing coding standards does not have all-zero block detection, and the complexity of 25% makes it difficult to realize the real-time processing of the encoder
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Embodiment 1
[0051] Process such as figure 1 Shown:
[0052] 1. Get the current 4x4 residual block;
[0053] 2. Perform all-zero block prediction on the residual block:
[0054] 2.1 First obtain the threshold value threshlod in advance according to the quantization parameter QP adopted by the current frame, at this time m takes a value of 19, k takes a value of 10, and E takes a value of 0.25; threshold=QPstep[QP]*19 / 6;
[0055] 2.2 Calculate the SAD value of the residual block, as follows:
[0056] Suppose Or is the original block, Pr is the prediction block, and Rr is the residual block; the size of the block is M x N; Rr=Or-Pr; SAD=|Rrij| where i=0...M, j=0...N ;
[0057] 3. Compare the SAD value with the threshold threshold, if the SAD value ≤ the threshold threshold, then judge the current block as a zero block, and skip to step 7 to start execution; if the SAD value>threshold threshold, then go to step 4;
[0058] 4. Transform and quantize the current block;
[0059] 5. If the ...
Embodiment 2
[0068] In steps 1-7, except that in step 4, the method of adjusting the threshold value threshold is different when there is a missed judgment, other steps are the same.
[0069] This embodiment adopts a simpler threshold threshold adjustment method, and directly adjusts the threshold threshold = QPstep [ QP ] * m 12 * E (The value of k is 10) in the adjustment coefficient m, that is, after a missed judgment occurs, the value of m is appropriately increased in steps or other ways to increase the threshold value threshold.
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Abstract
The invention pertains to video coding technique, in particular relates to a transformation and quantization method. The technical problem to be solved by the invention is providing a transformation and quantization method which reduces the video coding complexity. The invention can detect the situation in which a residual block system is zero after transformation and quantization in advanced through prediction before the transformation and quantization, thus saving the transformation and quantization process of an all-zero block. The proposal has an outstanding meaning for video coding with a low bit rate, as the proportion of the all-zero block is lager in the situation of low bit rate. Detecting most parts of the all-zero block in advance can greatly reduce the calculating complexity of transformation and quantization, further increase the coding efficiency. Furthermore, the invention can real-timely adjust the judging conditions for the all-zero block, further enhance the coding speed and quality and avoid occurrence of missed judgment.
Description
technical field [0001] The invention belongs to video coding technology, and in particular relates to a transformation and quantization method. Background technique [0002] Because the encoder needs to determine the encoding mode, the computational complexity is very high, making it very difficult for the encoder to implement real-time encoding. The inter-frame part accounts for about 70% of the complexity. After the inter-frame part has been optimized to a great extent, the computational complexity of the transformation and quantization part becomes particularly prominent, accounting for about 25% of the overall complexity of the encoder. , inter-frame prediction is the key technology to improve the compression ratio of video coding. [0003] The usual coding process is as follows: [0004] 1. Input the current frame and perform macroblock division; [0005] 2. By comparing the current frame with the reference frame, use the motion estimation algorithm to obtain the mot...
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