JP2015027022A - Video encoder, video coding method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To achieve high coding performance while minimizing degradation of subjective quality.SOLUTION: A video encoder includes a pixel value evaluation unit 11, and edge analysis unit 12, and division determination unit 13. The pixel value gradient evaluation unit 11 calculates the pixel value gradient of each pixel of an input image (a). The edge analysis unit 12 detects a coding unit block including the boundary of an object, based on the pixel value gradient of each pixel calculated by the pixel value gradient evaluation unit 11. The division determination unit 13 determines the division size of a quadtree structure based on the pixel value gradient of each pixel calculated by the pixel value gradient evaluation unit 11, for a coding unit block including the boundary of an object determined to include the boundary of an object by the edge analysis unit 12.

Description

  The present invention relates to a moving image encoding device, a moving image encoding method, and a program.

  Non-Patent Document 1 discloses a technique for performing video compression encoding processing for each encoding processing block. Further, in Non-Patent Document 2, an upper limit of the block size is determined in advance with respect to the encoding processing block, and the encoding processing block is assigned to the upper limit block size (Coding Tree Unit; CTU) according to the quadtree structure. A method of dividing (see FIG. 3) is shown.

  In the method shown in Non-Patent Document 2, the amount of control information given to each block can be reduced by allowing an encoding process block having a larger block size compared to the method shown in Non-Patent Document 1. The encoding performance can be improved by reducing the number. In particular, in the encoding at a high resolution and a low bit rate, the method shown in Non-Patent Document 2 can realize higher encoding performance than the method shown in Non-Patent Document 1.

  When the encoding processing block is divided, for example, an RD optimization method is used (see, for example, Non-Patent Document 3). In this RD optimization method, the encoding performance is judged by evaluating the distortion caused by encoding and the amount of generated code with a cost function. For the cost function, the generated code amount is weighted according to the roughness of quantization, and the weighting is increased as the quantization becomes coarser (as the bit rate becomes lower).

Joint Video Team (JVT) of ISO / IEC MPEG and ITU-T VCEG, "Text of ISO / IEC 14496-10 Advanced Video Coding," July 2004. "High Efficiency Video Coding (HEVC) text specification draft10," JCT-VC 12th meeting, JCTVC-L1003 v34, Jan. 2013. G. Sullivan, T. Wiegand, "Rate-distortion optimization for video compression," IEEE Signal Processing Magazine, Vol. 15, issue 6, p74-90, Nov. 1998.

  By dividing the quadtree structure using the RD optimization method, a large block is easily adopted at the time of low bit rate coding. However, if a large block is used to divide a CTU that includes object boundaries, it will lead to missing edge components and noise near the edges due to improper motion reference, resulting in a significant reduction in subjective quality. Has been invited.

  In inter-coded pictures, a large weight (Lagrange multiplier) is set to the generated code amount by the RD cost function, so that a large block is easily adopted. In particular, in low bit rate encoding, a large block is likely to be adopted even near the boundary of an object. When the object is moving, an occlusion area that appears from behind the object is included in a large block near the boundary of the object, which causes a significant deterioration in subjective quality in the occlusion area.

  Accordingly, the present invention has been made in view of the above-described problems, and an object thereof is to realize high coding performance while suppressing deterioration in subjective quality.

The present invention proposes the following matters in order to solve the above problems.
(1) The present invention is a moving image encoding device (e.g., corresponding to the moving image encoding device 1 in FIG. 1) that allows an encoding processing unit block to be divided according to a tree structure, and the encoding processing A feature value of a pixel value (e.g., corresponding to a pixel value gradient described later) is evaluated for each unit block, and the encoding process is performed based on a difference in feature value of a pixel value between the encoding process unit blocks adjacent to each other. A moving picture coding apparatus has been proposed which is characterized by estimating a division type suitable for a unit block (e.g., corresponding to the number of divisions (CU depth) b described later).

  Here, the feature value of the pixel value greatly changes at the boundary of the object. Therefore, according to the present invention, the division type suitable for these encoding processing unit blocks is determined based on the difference in the feature values of the pixel values between the encoding processing unit blocks adjacent to each other. For this reason, the encoding processing unit block can be divided according to the tree structure in consideration of the boundary of the object. Therefore, high encoding performance can be realized while suppressing a decrease in subjective quality.

  (2) The present invention relates to a moving image encoding apparatus according to (1), wherein a pixel value gradient evaluation unit (for example, the pixel of FIG. 2) calculates a pixel value gradient of each pixel of the input image as the feature value of the pixel value. And an edge analysis unit that detects an encoding processing unit block including an object boundary based on the pixel value gradient of each pixel calculated by the pixel value gradient evaluation unit. 2) and an encoding processing unit block detected by the edge analysis means as including an object boundary, based on the pixel value gradient of each pixel calculated by the pixel value gradient evaluation means. In addition, there is proposed a moving picture encoding apparatus including a division determination unit (for example, equivalent to the division determination unit 13 in FIG. 2) for determining a division size of a tree structure.

  According to the present invention, in the moving image encoding apparatus according to (1), an encoding processing unit block including an object boundary is detected based on a pixel value gradient of each pixel of an input image, and the detected encoding processing unit is detected. The division size of the tree structure for the block is determined based on the pixel value gradient of each pixel. Therefore, an encoding processing unit block including an object boundary can be divided according to a tree structure in consideration of the object boundary.

  (3) In the moving image encoding device according to (2), the pixel value gradient evaluation unit applies a sobel filter or a Laplacian filter to a pixel value of each pixel of the input image, and Has proposed a moving picture coding apparatus characterized by calculating a pixel value gradient of the video.

  According to the present invention, the moving image encoding apparatus calculates the pixel value gradient of each pixel by applying a sobel filter or a Laplacian filter to the pixel value of each pixel of the input image. For this reason, the pixel value gradient of each pixel can be calculated appropriately.

  (4) The present invention relates to the moving picture coding apparatus according to (2), wherein the pixel value gradient evaluation unit performs a low-pass filter on a pixel value of each pixel of the input image, and then performs a sobel filter or a Laplacian filter. The present invention proposes a moving picture coding apparatus that is applied to calculate a pixel value gradient of each pixel.

  According to the present invention, in the moving image encoding device of (2), after applying a low-pass filter to the pixel value of each pixel of the input image, the sobel filter or Laplacian filter is applied to obtain the pixel value of each pixel. The slope was calculated. For this reason, the pixel value gradient of each pixel can be calculated appropriately.

  (5) The present invention provides the moving image encoding device according to any one of (2) to (4), wherein the edge analysis means is an average value of absolute values of pixel value gradients of respective pixels in the encoding processing unit block. Alternatively, the variance value is greater than or equal to a predetermined threshold value, and the average value or absolute value of the absolute value of the pixel value gradient with the adjacent encoding processing unit block is greater than or equal to a predetermined threshold value. A moving picture encoding apparatus is proposed, which detects an encoding processing unit block satisfying at least one of the above as an encoding processing unit block including a boundary of the object.

  According to the present invention, in any one of the moving picture encoding apparatuses according to (2) to (4), the average value or variance value of the absolute value of the pixel value gradient of each pixel in the encoding processing unit block is equal to or greater than the threshold value. An encoding processing unit block that satisfies at least one of the following: the difference in the average value or the variance value of the absolute value of the pixel value gradient from the adjacent encoding processing unit block is equal to or greater than a threshold value, The encoding process unit block including the boundary is detected. For this reason, the encoding process unit block containing the boundary of an object can be detected appropriately.

  (6) In the video encoding device according to any one of (2) to (5), the division determination unit includes an average value or a variance value of absolute values of pixel value gradients of blocks before division, If there is a block in which the absolute value of the difference between the average value or the variance value of the absolute value of the pixel value gradient of each block after the division is larger than a predetermined threshold, it is determined that the block before the division can be divided. A video encoding device characterized by the above is proposed.

  According to the present invention, in any one of the moving picture coding apparatuses according to (2) to (5), the average value or variance value of the absolute value of the pixel value gradient of the block before division, and the pixel of each block after division If there is a block in which the absolute value of the difference between the average value or the variance value of the absolute values of the value gradient is larger than the threshold, it is determined that the block before the division can be divided. Therefore, it is possible to appropriately determine which block contains the boundary of the object and can be divided.

  (7) In the moving image encoding device according to any one of (2) to (6), the present invention provides, for each block obtained by dividing an encoding processing unit block detected as including an object boundary by the edge analysis unit. The video encoding apparatus is characterized by comprising quantization parameter determining means for determining a quantization parameter based on the pixel value gradient of each pixel calculated by the pixel value gradient evaluating means.

  According to the present invention, in any one of the moving picture encoding apparatuses according to (2) to (6), the quantization parameter is determined for each block based on the pixel value gradient of each pixel. For this reason, an appropriate quantization parameter can be determined for each block.

  (8) In the moving image encoding apparatus according to (7), the quantization parameter determination unit includes a block obtained by dividing the encoding processing unit block detected by the edge analysis unit as including an object boundary. In addition, a video encoding device is proposed in which the quantization parameter is determined based on whether an average value or a variance value of the absolute value of the pixel value gradient is equal to or greater than a predetermined threshold value. Yes.

  According to the present invention, in the moving picture coding apparatus according to (7), the quantization parameter is determined for each block depending on whether the average value or the variance value of the absolute value of the pixel value gradient is equal to or greater than the threshold value. It was. For this reason, a more appropriate quantization parameter can be determined for each block.

  (9) The present invention is a moving picture coding method in a moving picture coding apparatus (for example, equivalent to the moving picture coding apparatus 1 in FIG. 1) that allows a coding processing unit block to be divided according to a tree structure. Then, a feature value of a pixel value (e.g., corresponding to a pixel value gradient described later) is evaluated for each coding processing unit block, and based on a difference in feature value of a pixel value between the coding processing unit blocks adjacent to each other. Thus, a video encoding method has been proposed in which a division type suitable for the encoding processing unit block (e.g., equivalent to the number of divisions (CU depth) b described later) is estimated.

  According to the present invention, the division type suitable for these encoding processing unit blocks is determined based on the difference in the feature values of the pixel values between the encoding processing unit blocks adjacent to each other. For this reason, the encoding processing unit block can be divided according to the tree structure in consideration of the boundary of the object. Therefore, high encoding performance can be realized while suppressing a decrease in subjective quality.

  (10) The present invention relates to a moving picture coding method in a moving picture coding apparatus (e.g., equivalent to the moving picture coding apparatus 1 in FIG. 1) that allows a coding processing unit block to be divided according to a tree structure. A program to be executed by a computer, wherein a feature value of a pixel value (e.g., corresponding to a pixel value gradient described later) is evaluated for each encoding processing unit block, and the encoding processing unit blocks adjacent to each other are evaluated. A program for estimating a division type suitable for the encoding processing unit block (e.g., equivalent to the number of divisions (CU depth) b described later) based on the difference in feature values of pixel values is proposed.

  According to the present invention, the division type suitable for these encoding processing unit blocks is determined based on the difference in the feature values of the pixel values between the encoding processing unit blocks adjacent to each other. For this reason, the encoding processing unit block can be divided according to the tree structure in consideration of the boundary of the object. Therefore, high encoding performance can be realized while suppressing a decrease in subjective quality.

  According to the present invention, it is possible to realize high coding performance while suppressing deterioration in subjective quality.

It is a block diagram of the moving image encoder which concerns on one Embodiment of this invention. It is a block diagram of the image quality control part with which the moving image encoder which concerns on the said embodiment is provided. It is a figure for demonstrating the division | segmentation of the encoding process block according to a quadtree structure.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that the constituent elements in the following embodiments can be appropriately replaced with existing constituent elements, and various variations including combinations with other existing constituent elements are possible. Accordingly, the description of the following embodiments does not limit the contents of the invention described in the claims.

[Configuration and Operation of Video Encoding Device 1]
FIG. 1 is a block diagram of a video encoding apparatus 1 according to an embodiment of the present invention. The moving picture coding apparatus 1 is a moving picture coding apparatus that allows a coding processing unit block to be divided according to a quadtree structure and can control a quantization parameter for each divided block. The moving image encoding apparatus 1 includes an image quality control unit 10, a video dividing unit 20, a predicted value generation unit 30, a DCT / quantization unit 40, an entropy encoding unit 50, an inverse DCT / inverse quantization unit 60, and a local memory. 70.

  The image quality control unit 10 receives the input image a. The image quality control unit 10 detects a CTU including an object boundary based on the evaluation value of the pixel value gradient related to the pixel value of the input image a, and obtains and outputs the number of divisions (CU depth) b allowed by the CTU. To do. Further, difference information (ΔQP) for the quantization parameter (QP) is determined for each CU (Coding Unit) based on the evaluation value of the pixel value gradient related to the pixel value of the input image a, and the difference information for the quantization parameter Output as c. The difference information (ΔQP) with respect to the quantization parameter (QP) is a difference between the quantization parameter (QP) in the processing slice and the quantization parameter used in the CU.

  FIG. 2 is a block diagram of the image quality control unit 10. The image quality control unit 10 includes a pixel value gradient evaluation unit 11, an edge analysis unit 12, a division determination unit 13, and a quantization parameter determination unit 14.

  The pixel value gradient evaluation unit 11 receives the input image a. The pixel value gradient evaluation unit 11 calculates a pixel value gradient for all pixel values of the input image a, and outputs the pixel value gradient as a pixel value gradient j of each pixel. The pixel value gradient can be calculated, for example, by applying a low-pass filter to all pixel values of the input image a and then applying a sobel filter or a Laplacian filter.

  The edge analysis unit 12 receives the pixel value gradient j of each pixel as an input. The edge analysis unit 12 detects a CTU including an object boundary based on the pixel value gradient j of each pixel. In detecting the CTU including the boundary of the object, for example, first, an average value or a variance value of the absolute value of the pixel value gradient of each pixel in each CTU is calculated, and the calculated average value or variance value is a predetermined threshold value. By determining whether or not this is the case, the magnitude of the pixel value gradient of each CTU is determined. Next, in consideration of the feature that the pixel value gradients of these CTUs are similar when the same object exists across a plurality of CTUs, the absolute value of the pixel value gradients between the adjacent CTUs is considered. It is determined whether or not the difference between the average value or the variance value is equal to or greater than a predetermined threshold value. Next, a CTU in which the average value or variance value of the absolute values of the pixel values in the CTU is greater than or equal to a threshold value, and the difference between the average value or the variance value of the pixel value gradients of adjacent CTUs is greater than or equal to the threshold value The CTU including the boundary of the object is detected, and the coordinates of the detected CTU are output as the coordinates k of the CTU including the boundary of the object.

  The division determination unit 13 receives the pixel value gradient j of each pixel and the CTU coordinates k including the boundary of the object as inputs. The division determination unit 13 determines whether or not the CTU including the object boundary can be divided into four based on the quadtree structure. Specifically, first, the absolute value of the difference between the average value or variance value of the pixel value gradient of the block before division and the average value or variance value of the absolute value of the pixel value gradient of each block after division. Calculate the value. Next, if there is a block in which the absolute value of the calculated difference is greater than a predetermined threshold, it is determined that the block before division can be divided. Then, it is determined that the division is impossible, or the calculation of the absolute value of the difference and the determination of whether the division is possible are repeated up to a predetermined maximum number of divisions. Up to a quadtree structure expression (where N is an integer satisfying N> 0) is output as the number of divisions (CU depth) b allowed by the CTU indicated by the coordinates k of the CTU including the boundary of the object.

  The quantization parameter determination unit 14 receives the pixel value gradient j of each pixel, the CTU coordinates k including the boundary of the object, and the division count b. The quantization parameter determination unit 14 also receives a quantization parameter (QP) in the processing slice (not shown). The quantization parameter determination unit 14 calculates an average value or a variance value of the absolute value of the pixel value gradient for each CU according to the division count b, and determines difference information c for the quantization parameter for each CU based on threshold determination. And output.

  Returning to FIG. 1, the video dividing unit 20 receives the input image a and the division count b. The video dividing unit 20 first divides the input image a into CTUs. Next, for each image divided into CTUs, the number of divisions is determined by the RD optimization method with the number of divisions indicated by b as the upper limit. Output as image d.

  The predicted value generation unit 30 receives the divided input image d and an encoded image i (described later) supplied from the local memory 70 as inputs. The prediction value generation unit 30 generates a prediction value based on each prediction method such as intra prediction or inter prediction, and outputs a prediction value based on a prediction method expected to have the highest coding performance as a prediction value e. .

  The DCT / quantization unit 40 receives the prediction residual signal and difference information c for the quantization parameter as inputs. The prediction residual signal is a difference signal between the divided input image d and the predicted value e. The DCT / quantization unit 40 performs orthogonal transform processing on the prediction residual signal, performs quantization processing on the transform coefficient obtained by the orthogonal transform processing, and outputs a quantized transform coefficient f. . In the quantization process, a quantization parameter value that is changed with respect to the quantization parameter (QP) of the processing slice by ΔQP as the difference information c with respect to the quantization parameter is used.

  The entropy encoding unit 50 receives the quantized transform coefficient f as an input. The entropy encoding unit 50 performs entropy encoding processing on the quantized transform coefficient f, and describes the result in the encoded data according to the description rule (encoding syntax) for the encoded data. , And output as encoded data g.

  The inverse DCT / inverse quantization unit 60 receives the quantized transform coefficient f and difference information c for the quantization parameter as inputs. The inverse DCT / inverse quantization unit 60 performs an inverse quantization process on the quantized transform coefficient f, performs an inverse transform process on the transform coefficient obtained by the inverse quantization process, and performs an inverse orthogonal transform. The converted conversion coefficient h is output. In the inverse quantization process, a quantization parameter value that is changed with respect to the quantization parameter (QP) of the processing slice by ΔQP as the difference information c with respect to the quantization parameter is used.

  The local memory 70 receives an encoded image i, which is a filtered local decoded image. The local memory 70 stores the input encoded image i. Then, when it is necessary to refer to the past encoded image i after the next encoding processing unit block, the encoded image i is supplied to the predicted value generation unit 30 as appropriate.

  According to the above moving picture coding apparatus 1, the following effects can be produced.

  The moving image encoding device 1 determines a division type suitable for these CTUs based on the average value or the difference value of the absolute values of the pixel value gradients between adjacent CTUs. Therefore, the CTU can be divided according to the quadtree structure in consideration of the object boundary. Therefore, high encoding performance can be realized while suppressing a decrease in subjective quality.

  In addition, the moving image encoding apparatus 1 detects a CTU including an object boundary based on the pixel value gradient of each pixel of the input image a, and determines the division size of the quadtree structure for the detected CTU for each pixel. Is determined based on the pixel value gradient. Therefore, the CTU including the object boundary can be divided according to the quadtree structure in consideration of the object boundary.

  In addition, the moving image encoding apparatus 1 calculates a pixel value gradient of each pixel by applying a low-pass filter to the pixel value of each pixel of the input image a and then applying a sobel filter or a Laplacian filter. For this reason, the pixel value gradient of each pixel can be calculated appropriately.

  In addition, the moving image encoding apparatus 1 determines that the average value or the variance value of the pixel value gradient of each pixel in the CTU is equal to or larger than the threshold value, and the average value of the absolute value of the pixel value gradient with the adjacent CTU. Alternatively, a CTU that satisfies at least one of the difference between variance values being equal to or greater than a threshold value is detected as a CTU that includes an object boundary. For this reason, CTU including the boundary of an object can be detected appropriately.

  In addition, the moving image encoding device 1 calculates the average value or variance value of the absolute value of the pixel value gradient of the block before division and the average value or variance value of the absolute value of the pixel value gradient of each block after division. If there is a block whose absolute value of the difference is larger than the threshold, it is determined that the block before division can be divided. Therefore, it is possible to appropriately determine which block contains the boundary of the object and can be divided.

  Further, the moving image encoding apparatus 1 determines the quantization parameter for each block depending on whether the average value or the variance value of the absolute value of the pixel value gradient is equal to or greater than a threshold value. For this reason, a more appropriate quantization parameter can be determined for each block.

  The processing of the moving picture coding apparatus 1 of the present invention is recorded on a computer-readable non-transitory recording medium, and the program recorded on the recording medium is read by the moving picture coding apparatus 1 and executed. Thus, the present invention can be realized.

  Here, for example, a nonvolatile memory such as an EPROM or a flash memory, a magnetic disk such as a hard disk, a CD-ROM, or the like can be applied to the above-described recording medium. Further, reading and execution of the program recorded on the recording medium is performed by a processor provided in the moving image encoding apparatus 1.

  Further, the above-described program may be transmitted from the moving image encoding apparatus 1 storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.

  Further, the above-described program may be for realizing a part of the above-described function. Furthermore, what can implement | achieve the above-mentioned function in combination with the program already recorded on the moving image encoder 1, what is called a difference file (difference program) may be sufficient.

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes a design that does not depart from the gist of the present invention.

  For example, in the above-described embodiment, the quadtree structure division shown in Non-Patent Document 2 is shown as an example of dividing the encoding processing block based on the tree structure. However, the present invention is not limited to this, and the present invention can be applied to division of a tree structure based on an arbitrary number of branches such as a binary tree structure.

  In the above-described embodiment, the input image a is input to the image quality control unit 10. However, the present invention is not limited to this. For example, an image including only the structural components of the input image a may be input. . According to this, the detection performance of the object boundary by the image quality control unit 10 can be improved, and as a result, the subjective quality can be further improved. As a method for extracting the structural component from the input image a, for example, Total Variation can be applied.

DESCRIPTION OF SYMBOLS 1 ... Moving image encoding apparatus 10 ... Image quality control part 11 ... Pixel value gradient evaluation part 12 ... Edge analysis part 13 ... Division determination part 14 ... Quantization parameter determination part 20 ..Video segmentation unit 30 ... predicted value generation unit 40 ... DCT / quantization unit 50 ... entropy encoding unit 60 ... inverse DCT / inverse quantization unit 70 ... local memory

Claims (10)

A video encoding device that allows an encoding processing unit block to be divided according to a tree structure,
A feature type of a pixel value is evaluated for each encoding process unit block, and a division type suitable for the encoding process unit block based on a difference in feature value of a pixel value between the encoding process unit blocks adjacent to each other A moving picture coding apparatus characterized by estimating. A pixel value gradient evaluation means for calculating a pixel value gradient of each pixel of the input image as the feature value of the pixel value;
An edge analysis unit that detects an encoding processing unit block including an object boundary based on a pixel value gradient of each pixel calculated by the pixel value gradient evaluation unit;
Division determination for determining the division size of the tree structure based on the pixel value gradient of each pixel calculated by the pixel value gradient evaluation unit for the encoding processing unit block detected by the edge analysis unit as including an object boundary The moving picture coding apparatus according to claim 1, further comprising: means.   The pixel value gradient evaluation unit calculates a pixel value gradient of each pixel by applying a sobel filter or a Laplacian filter to the pixel value of each pixel of the input image. Video encoding device.   The pixel value gradient evaluation unit calculates a pixel value gradient of each pixel by applying a low-pass filter to a pixel value of each pixel of the input image and then applying a sobel filter or a Laplacian filter. The moving picture encoding apparatus according to claim 2. The edge analysis means includes
The average value or variance value of the absolute value of the pixel value gradient of each pixel in the encoding processing unit block is equal to or greater than a predetermined threshold;
The difference between the average value or the variance value of the absolute value of the pixel value gradient with the adjacent encoding processing unit block is equal to or greater than a predetermined threshold;
5. The moving picture encoding apparatus according to claim 2, wherein an encoding processing unit block satisfying at least one of the following is detected as an encoding processing unit block including a boundary of the object.   The division determination means is the absolute value of the difference between the average value or variance value of the pixel value gradient of the block before division and the absolute value average value or variance value of the pixel value gradient of each block after division. 6. The moving picture encoding apparatus according to claim 2, wherein if there is a block larger than a predetermined threshold, it is determined that the block before the division can be divided.   A quantization parameter is determined based on the pixel value gradient of each pixel calculated by the pixel value gradient evaluation unit for each block obtained by dividing the encoding processing unit block detected as including an object boundary by the edge analysis unit. The moving picture encoding apparatus according to claim 2, further comprising a quantization parameter determining unit that performs the determination.   The quantization parameter determining means determines in advance an average value or variance value of absolute values of pixel value gradients for each block obtained by dividing the encoding processing unit block detected as including an object boundary by the edge analysis means. The moving picture coding apparatus according to claim 7, wherein the quantization parameter is determined based on whether or not the threshold value is equal to or greater than a predetermined threshold value. A moving picture coding method in a moving picture coding apparatus that allows a coding processing unit block to be divided according to a tree structure,
A feature type of a pixel value is evaluated for each encoding process unit block, and a division type suitable for the encoding process unit block based on a difference in feature value of a pixel value between the encoding process unit blocks adjacent to each other A moving picture coding method characterized by estimating. A program for causing a computer to execute a moving picture coding method in a moving picture coding apparatus that allows a coding processing unit block to be divided according to a tree structure,
A feature type of a pixel value is evaluated for each encoding process unit block, and a division type suitable for the encoding process unit block based on a difference in feature value of a pixel value between the encoding process unit blocks adjacent to each other A program for estimating.

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