JP2022044588A - Image encoding device, image encoding method, image encoding program, image decoding device, image decoding method, and image decoding program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique to improve encoding efficiency by performing block division suitable for image encoding and decoding.

SOLUTION: There is provided a technique to improve encoding efficiency by performing block division suitable for image encoding and decoding. A dynamic image decoding device comprises: a motion information history memory that stores the history of a plurality of pieces of motion information; a predicted motion vector candidate derivation unit that derives predicted motion vector candidates including a history predicted motion vector candidate from a memory holding motion information on a decoded block; and a merge candidate derivation unit that derives merge candidates including a history merge candidate from the memory holding the motion information on the decoded block. When the dynamic image decoding device decodes the predicted motion vector candidates, it stores the motion information in the motion information history memory, and when decoding the merge candidates, it does not store the motion information in the motion information history memory.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2022,JPO&INPIT

Description

The present invention relates to an image coding and decoding technique for dividing an image into blocks and performing prediction.

In image coding and decoding, an image to be processed is divided into blocks which are a set of a predetermined number of pixels, and processing is performed in block units. Coding efficiency is improved by dividing into appropriate blocks and appropriately setting in-screen prediction (intra prediction) and inter-screen prediction (inter-prediction).

In the coding / decoding of moving images, the coding efficiency is improved by inter-prediction that predicts from the coded / decoded pictures. Patent Document 1 describes a technique for applying an affine transformation at the time of inter-prediction. It is not uncommon for an object to be deformed such as enlargement / reduction and rotation in a moving image, and efficient coding becomes possible by applying the technique of Patent Document 1.

Japanese Unexamined Patent Publication No. 9-172644

However, since the technique of Patent Document 1 involves image conversion, there is a problem that the processing load is large. In view of the above problems, the present invention provides a low-load and efficient coding technique.

A motion information history memory that stores the history of a plurality of motion information, a predictive motion vector candidate derivation unit that derives a predictive motion vector candidate including a historical predictive motion vector candidate, and a subblock unit in which a coded block is divided into a predetermined size. A sub-block merge candidate derivation unit for deriving sub-block merge candidates having different motion information is provided, and when the predicted motion vector candidate is encoded, motion information is stored in the motion information history memory and the sub-block is provided. Disclosed is a motion image coding device characterized in that motion information is not stored in the motion information history memory when a merge candidate is encoded.

A motion information history memory that stores the history of a plurality of motion information, a step for deriving a predicted motion vector candidate including a history predicted motion vector candidate, and a subblock unit in which a coded block is divided into a predetermined size. It has a sub-block merge candidate derivation step for deriving sub-block merge candidates having different motion information, and when the predicted motion vector candidate is encoded, motion information is stored in the motion information history memory and the sub. Disclosed is a motion image coding method characterized in that motion information is not stored in the motion information history memory when a block merge candidate is encoded.

A motion information history memory that stores the history of a plurality of motion information, a step for deriving a predicted motion vector candidate including a history predicted motion vector candidate, and a subblock unit in which a coded block is divided into a predetermined size. When the computer is made to execute the sub-block merge candidate derivation step for deriving the sub-block merge candidates having different motion information, and the predicted motion vector candidate is encoded, the motion information is stored in the motion information history memory. Disclosed is a motion image coding program characterized in that motion information is not stored in the motion information history memory when the sub-block merge candidate is encoded.

A motion information history memory that stores the history of multiple motion information, a predictive motion vector candidate derivation unit that derives predictive motion vector candidates including historical motion vector candidates, and a sub-block unit that divides the decoding block into predetermined sizes. It is equipped with a sub-block merge candidate derivation unit that derives sub-block merge candidates with different motion information, and when the predicted motion vector candidate is decoded, motion information is stored in the motion information history memory, and the sub-block merge candidate is provided. Disclosed is a motion image decoding device characterized in that motion information is not stored in the motion information history memory when the motion vector is decoded.

A motion information history memory that stores the history of multiple motion information, a predictive motion vector candidate derivation step that derives a predictive motion vector candidate including a history predictive motion vector candidate, and a subblock unit that divides a decoding block into a predetermined size. It has a sub-block merge candidate derivation step for deriving sub-block merge candidates with different motion information, and when the predicted motion vector candidate is decoded, the motion information is stored in the motion information history memory and the sub-block merge. Disclosed is a motion image decoding method characterized in that motion information is not stored in the motion information history memory when the candidate is decoded.

History prediction from the motion information history memory that stores the history of multiple motion information, the predictive motion vector candidate derivation step that derives the predicted motion vector candidate including the historical predicted motion vector candidate, and the memory that holds the motion information of the decoded block. A computer is made to execute a predictive motion vector candidate derivation step for deriving a predicted motion vector candidate including a motion vector candidate, and when the predicted motion vector candidate is decoded, motion information is stored in the motion information history memory.
Disclosed is a moving image decoding program characterized in that motion information is not stored in the motion information history memory when the subblock merge candidate is decoded.

This description is an example. The scope of the present application and the present invention is not limited or limited by this description. Further, it should be understood that the description of "the present invention" in the present specification does not limit the scope of the present invention or the present application, but is used for illustration purposes.

According to the present invention, highly efficient image coding / decoding processing can be realized with a low load.

It is a block diagram of the image coding apparatus which concerns on embodiment of this invention. It is a block diagram of the image decoding apparatus which concerns on embodiment of this invention. It is a flowchart for demonstrating the operation which divides a tree block. It is a figure which shows how the input image is divided into a tree block. It is a figure explaining z-scan. It is a figure which shows the division shape of a block. It is a figure which shows the division shape of a block. It is a figure which shows the division shape of a block. It is a figure which shows the division shape of a block. It is a figure which shows the division shape of a block. It is a flowchart for demonstrating the operation which divides a block into four. It is a flowchart for demonstrating the operation which divides a block into two or three. It is a syntax for expressing the shape of block division. It is a figure for demonstrating an intra prediction. It is a figure for demonstrating an intra prediction. It is a figure for demonstrating the reference block of an inter-prediction. It is a syntax for expressing the coded block prediction mode. It is a figure which shows the correspondence of a syntax element and a mode about inter prediction. It is a figure for demonstrating the affine transformation motion compensation of two control points. It is a figure for demonstrating the affine transformation motion compensation of three control points. It is a block diagram of the detailed structure of the inter prediction unit 102 of FIG. It is a block diagram of the detailed structure of the normal prediction motion vector mode derivation unit 301 of FIG. It is a block diagram of the detailed structure of the normal merge mode derivation part 302 of FIG. It is a flowchart for demonstrating the normal predictive motion vector mode derivation process of the normal predictive motion vector mode derivation unit 301 of FIG. It is a flowchart which shows the processing procedure of the normal prediction motion vector mode derivation process. It is a flowchart explaining the processing procedure of the normal merge mode derivation process. It is a block diagram of the detailed structure of the inter-prediction unit 203 of FIG. It is a block diagram of the detailed structure of the normal prediction motion vector mode derivation unit 401 of FIG. 22. It is a block diagram of the detailed structure of the normal merge mode derivation unit 402 of FIG. 22. It is a flowchart for demonstrating the normal predictive motion vector mode derivation process of the normal predictive motion vector mode derivation unit 401 of FIG. 22. It is a figure explaining the history prediction motion vector candidate list initialization / update processing procedure. It is a flowchart of the same element confirmation processing procedure in the history prediction motion vector candidate list initialization / update processing procedure. It is a flowchart of the element shift processing procedure in the history prediction motion vector candidate list initialization / update processing procedure. It is a flowchart explaining the history prediction motion vector candidate derivation processing procedure. It is a flowchart explaining the history merge candidate derivation processing procedure. It is a figure for demonstrating an example of the history prediction motion vector candidate list update process. It is a figure for demonstrating an example of the history prediction motion vector candidate list update process. It is a figure for demonstrating an example of the history prediction motion vector candidate list update process. It is a figure for demonstrating motion compensation prediction at the time of L0 prediction, and the reference picture (RefL0Pic) of L0 is at the time before the processing target picture (CurPic). It is a figure for demonstrating motion compensation prediction in the case of L0 prediction and the reference picture of L0 prediction is at the time after the processing target picture. To explain the prediction direction of motion compensation prediction when the reference picture of the L0 prediction is at a time before the processing target picture in the bi-prediction and the reference picture of the L1 prediction is at a time after the processing target picture. It is a figure. It is a figure for demonstrating the prediction direction of the motion compensation prediction in the case of the bi-prediction, when the reference picture of L0 prediction and the reference picture of L1 prediction are at the time before the picture to be processed. It is a figure for demonstrating the prediction direction of the motion compensation prediction in the case of the bi-prediction, when the reference picture of L0 prediction and the reference picture of L1 prediction are at the time after the picture to be processed. It is a figure for demonstrating an example of the hardware composition of the coding decoding apparatus of embodiment of this invention. It is a figure for demonstrating the temporal context of a picture. It is a figure for demonstrating the positional relationship of a coded block. It is a flowchart for demonstrating the derivation process of the time prediction motion vector candidate in a normal prediction motion vector mode derivation unit 301. It is a table which shows another example of the history prediction motion vector candidate added by the initialization of the history prediction motion vector candidate list. It is a table which shows another example of the history prediction motion vector candidate added by the initialization of the history prediction motion vector candidate list. It is a table which shows another example of the history prediction motion vector candidate added by the initialization of the history prediction motion vector candidate list. It is a flowchart explaining the history prediction motion vector candidate derivation processing procedure with additional restrictions. It is a flowchart explaining the history prediction motion vector candidate derivation processing procedure when the same candidate determination is not performed.

The technology and technical terms used in this embodiment are defined.

<Tree block>
In the embodiment, the image to be encoded / decoded is evenly divided into a predetermined size. This unit is defined as a tree block. In FIG. 4, the size of the tree block is 128 x 128 pixels, but the size of the tree block is not limited to this, and any size may be set. The tree block of the processing target (corresponding to the coding target in the coding process and the decoding target in the decoding process) is switched in the raster scan order, that is, in the order of left to right and top to bottom. The inside of each tree block can be further recursively divided.
The block to be coded / decoded after the tree block is recursively divided is defined as a coded block. In addition, tree blocks and coded blocks are collectively defined as blocks. Efficient coding is possible by performing appropriate block division. The size of the tree block may be a fixed value previously agreed between the coding device and the decoding device, or the size of the tree block determined by the coding device may be transmitted to the decoding device. Here, the maximum size of the tree block is 128x128 pixels, and the minimum size of the tree block is 16x16 pixels. Also, the maximum size of the coded block is 64x64.
The minimum size of pixels and coded blocks is 4x4 pixels.

<Prediction mode>
Intra prediction (MODE_INTRA) that makes predictions from the processed image signals of the processed image, and inter-prediction (MO) that makes predictions from the image signals of the processed image in units of processing target coding blocks.
DE_INTER) is switched.
The processed image is used for an image, an image signal, a tree block, a block, a coded block, etc. obtained by decoding a signal whose coding is completed in the coding process, and an image, an image signal, which has been decoded in the decoding process. Used for tree blocks, blocks, coded blocks, etc.
The mode that distinguishes between the intra prediction (MODE_INTRA) and the inter prediction (MODE_INTER) is defined as the prediction mode (PredMode). Prediction mode (PredMode) is intra prediction (MODE_INTRA)
) Or inter-prediction (MODE_INTER) as a value.

<Inter prediction>
In the inter-prediction that predicts from the image signal of the processed image, a plurality of processed images can be used as a reference picture. In order to manage a plurality of reference pictures, two types of reference lists, L0 (reference list 0) and L1 (reference list 1), are defined, and the reference picture is specified by using the reference index for each. L0 prediction (Pred_L0) is available for P slices. For B slices, L0 prediction (Pred_L0), L1 prediction (Pred_L1), and dual prediction (Pred_BI)
) Is available. The L0 prediction (Pred_L0) is an inter-prediction that refers to a reference picture managed by L0, and the L1 prediction (Pred_L1) is an inter-prediction that refers to a reference picture managed by L1. In the bi-prediction (Pred_BI), both L0 prediction and L1 prediction are performed.
It is an inter-prediction that refers to one reference picture managed in each of L0 and L1. Information that identifies L0 prediction, L1 prediction, and bi-prediction is defined as an inter-prediction mode. For constants and variables with the subscript LX attached to the output in the subsequent processing, L0 and L1
It is assumed that processing is performed for each process.

<Predicted motion vector mode>
The predicted motion vector mode is a mode in which an index for specifying a predicted motion vector, a differential motion vector, an inter-predicted mode, and a reference index are transmitted to determine inter-predicted information of a block to be processed. The predicted motion vector is a predicted motion vector candidate derived from a processed block adjacent to the processed block or a block belonging to the processed image and located at the same position as or near (near) the processed block, and the predicted motion. Derived from the index to identify the vector.

<Merge mode>
In the merge mode, the processed block adjacent to the processed block or the block belonging to the processed image and located at the same position as or near (near) the processed block without transmitting the differential motion vector and the reference index. In this mode, the inter-prediction information of the block to be processed is derived from the inter-prediction information of.

The processed block adjacent to the processing target block and the inter-prediction information of the processed block are defined as spatial merge candidates. Blocks that belong to the processed image and are located at the same position as or near (near) the block to be processed, and inter-prediction information derived from the inter-prediction information of that block are defined as time merge candidates. Each merge candidate is registered in the merge candidate list, and the merge index identifies the merge candidate used in the prediction of the block to be processed.

<Adjacent block>
FIG. 11 is a diagram illustrating a reference block referred to for deriving inter-prediction information in the predicted motion vector mode and the merge mode. A0, A1, A2, B0, B1, B2
B3 is a processed block adjacent to the processing target block. T0 is a block belonging to the processed image, and is at or near the same position as the processing target block in the processing target image (
It is a block located in the vicinity).

A1 and A2 are blocks located on the left side of the processing target coding block and adjacent to the processing target coding block. B1 and B3 are blocks located above the processing target coding block and adjacent to the processing target coding block. A0, B0, and B2 are blocks located at the lower left, upper right, and upper left of the coded block to be processed, respectively.

The details of how to handle adjacent blocks in the predicted motion vector mode and the merge mode will be described later.

<Affine transformation motion compensation>
In the affine transformation motion compensation, the coded block is divided into sub-blocks of a predetermined unit, and the motion vector is individually determined for each of the divided sub-blocks to perform motion compensation.
The motion vector of each subblock is a processed block adjacent to the processed block, or a block belonging to the processed image and at the same position as or near (near) the processed block.
It is derived based on one or more control points derived from the inter-prediction information of the block located at. In the present embodiment, the size of the subblock is 4x4 pixels, but the size of the subblock is not limited to this, and the motion vector may be derived in pixel units.

FIG. 14 shows an example of affine transformation motion compensation when there are two control points. In this case, the two control points have two parameters, a horizontal component and a vertical component. Therefore, the affine transformation when there are two control points is called a four-parameter affine transformation. CP1 in FIG.
CP2 is the control point.
FIG. 15 shows an example of affine transformation motion compensation when there are three control points. In this case, the three control points have two parameters, a horizontal component and a vertical component. Therefore, the affine transformation when there are three control points is called a 6-parameter affine transformation. CP1 in FIG.
CP2 and CP3 are control points.

Affine transformation motion compensation is available in both predictive motion vector mode and merge mode. The mode in which the affine transformation motion compensation is applied in the predicted motion vector mode is defined as the subblock predicted motion vector mode, and the mode in which the affine transformation motion compensation is applied in the merge mode is defined as the subblock merge mode.

<Inter-prediction syntax>
The syntax for interprediction will be described with reference to FIGS. 12 and 13.
The merge_flag in FIG. 12 is a flag indicating whether the coded block to be processed is in the merge mode or the predicted motion vector mode. merge_affine_flag is a flag indicating whether or not to apply the subblock merge mode in the coded block to be processed in the merge mode.
inter_affine_flag is a flag indicating whether or not the subblock predictive motion vector mode is applied in the coded block to be processed in the predictive motion vector mode. cu_affine_type_flag
Is a flag for determining the number of control points in the subblock predictive motion vector mode.
FIG. 13 shows the values of each syntax element and the corresponding prediction methods. merge_fl
ag = 1, merge_affine_flag = 0 corresponds to normal merge mode. Normal merge mode is a merge mode that is not a subblock merge. merge_flag = 1, merge_affine_flag = 1 corresponds to the subblock merge mode. merge_flag = 0 and inter_affine_flag = 0 correspond to the normal predicted motion vector mode. The normal predictive motion vector mode is a predictive motion vector merge that is not a subblock predictive motion vector mode. merge_flag = 0, inter_affine_flag = 1
Corresponds to the subblock predictive motion vector mode. merge_flag = 0, inter_affine_flag
If = 1, further cu_affine_type_flag is transmitted to determine the number of control points.

<POC>
The POC (Picture Order Count) is a variable associated with the encoded picture, and a value that increases by 1 according to the output order of the pictures is set. Depending on the value of POC, it is possible to determine whether the pictures are the same, determine the context between the pictures in the output order, and derive the distance between the pictures. For example, if the POCs of two pictures have the same value, it can be determined that they are the same picture. If the POCs of the two pictures have different values, it can be determined that the picture with the smaller POC value is the picture to be output first, and the difference between the POCs of the two pictures is the distance between the pictures in the time axis direction. show.

(First Embodiment)
The image coding device 100 and the image decoding device 200 according to the first embodiment of the present invention will be described.

FIG. 1 is a block diagram of the image coding apparatus 100 according to the first embodiment. The image coding device 100 of the embodiment includes a block division unit 101, an inter-prediction unit 102, an intra-prediction unit 103, a decoded image memory 104, a prediction method determination unit 105, a residual generation unit 106, and an orthogonal transformation / quantization unit 107. , A bit string coding unit 108, an inverse quantization / inverse orthogonal transformation unit 109, a decoded image signal superimposition unit 110, and a coding information storage memory 111.

The block division unit 101 recursively divides the input image to generate a coded block. The block division unit 101 includes a 4-division unit that divides the block to be divided in the horizontal direction and a vertical direction, and a 2-3 division unit that divides the block to be divided into either the horizontal direction or the vertical direction. include. The block division unit 101 uses the generated coded block as a processing target coded block, and supplies the image signal of the processing target coded block to the inter prediction unit 102, the intra prediction unit 103, and the residual generation unit 106. Further, the block partitioning unit 101 supplies information indicating the determined recursive partitioning structure to the bit string coding unit 108. The detailed operation of the block dividing unit 101 will be described later.

The inter-prediction unit 102 performs inter-prediction of the coded block to be processed. The inter-prediction unit 102 derives a plurality of inter-prediction information candidates from the inter-prediction information stored in the coded information storage memory 111 and the decoded image signal stored in the decoded image memory 104. A suitable inter-prediction mode is selected from the plurality of derived candidates, and the selected inter-prediction mode and the prediction image signal corresponding to the selected inter-prediction mode are supplied to the prediction method determination unit 105. The detailed configuration and operation of the inter-prediction unit 102 will be described later.

The intra prediction unit 103 performs intra prediction of the coded block to be processed. The intra prediction unit 103 refers to the decoded image signal stored in the decoded image memory 104 as a reference pixel, and makes an intra prediction based on the coding information such as the intra prediction mode stored in the coding information storage memory 111. Generates a predicted image signal. In intra-prediction, the intra-prediction unit 103 selects a suitable intra-prediction mode from a plurality of intra-prediction modes, and predicts the selected intra-prediction mode and the predicted image signal according to the selected intra-prediction mode. It is supplied to the determination unit 105.
10A and 10B show examples of intra-prediction. FIG. 10A shows the correspondence between the prediction direction of the intra prediction and the intra prediction mode number. For example, intra prediction mode 5
0 generates an intra-predicted image by copying the reference pixel in the vertical direction. The intra prediction mode 1 is a DC mode, and is a mode in which all the pixel values of the processing target block are set as the average value of the reference pixels. The intra prediction mode 0 is a Planar mode, which is a mode for creating a two-dimensional intra prediction image from reference pixels in the vertical and horizontal directions. FIG. 10B is an example of generating an intra-prediction image in the case of the intra-prediction mode 40. The intra prediction unit 103 copies the value of the reference pixel in the direction indicated by the intra prediction mode to each pixel of the processing target block. When the reference pixel in the intra prediction mode is not an integer position, the intra prediction unit 103 determines the reference pixel value by interpolation from the reference pixel values at the peripheral integer positions.

The decoded image memory 104 stores the decoded image generated by the decoded image signal superimposing unit 110.
The decoded image memory 104 supplies the stored decoded image to the inter prediction unit 102 and the intra prediction unit 103.

The prediction method determination unit 105 evaluates each of the intra prediction and the inter prediction by using the coding information, the code amount of the residual, the amount of distortion between the predicted image signal and the image signal to be processed, and the like. , Determine the optimal prediction mode. In the case of intra prediction, the prediction method determination unit 10
5 is a bit string coding unit 1 using intra prediction information such as an intra prediction mode as coding information.
Supply to 08. In the case of the merge mode of inter-prediction, the prediction method determination unit 105 uses the inter-prediction information such as the merge index and the information indicating whether or not the sub-block merge mode (sub-block merge flag) is used as the coding information in the bit string coding unit 108. Supply to. In the case of the inter-prediction predicted motion vector mode, the prediction method determination unit 105 indicates whether or not the inter-prediction mode, the predicted motion vector index, the reference indexes of L0 and L1, the differential motion vector, and the sub-block predicted motion vector mode. Inter-prediction information such as (subblock prediction motion vector flag) is supplied to the bit string coding unit 108 as coding information. Further, the prediction method determination unit 105 stores the determined coding information in the coding information storage memory 11.
Supply to 1. The prediction method determination unit 105 supplies the residual generation unit 106 and the prediction image signal to the decoded image signal superimposition unit 110.

The residual generation unit 106 generates a residual by subtracting the predicted image signal from the image signal to be processed, and supplies the residual to the orthogonal transformation / quantization unit 107.

The orthogonal transformation / quantization unit 107 performs orthogonal transformation and quantization on the residual according to the quantization parameter to generate an orthogonal transformation / quantized residual, and the generated residual is used as a bit string coding unit 10.
It is supplied to 8 and the inverse quantization / inverse orthogonal transformation unit 109.

The bit string coding unit 108 encodes the coding information according to the prediction method determined by the prediction method determination unit 105 for each coding block, in addition to the information in units of sequences, pictures, slices, and coding blocks. Specifically, the bit string coding unit 108 encodes the prediction mode PredMode for each coding block. When the prediction mode is inter-prediction (MODE_INTER), the bit string coding unit 108 uses a flag for determining whether or not the merge mode is used, a subblock merge flag, a merge index in the case of the merge mode, and an inter-prediction mode in the case of not the merge mode. Coding information (inter-predicted information) such as a predicted motion vector index, information about a differential motion vector, and a subblock predicted motion vector flag is encoded according to a specified syntax (bit string syntax rule) to generate a first bit string. When the prediction mode is intra prediction (MODE_INTRA), the coding information (intra prediction information) such as the intra prediction mode is encoded according to the specified syntax (syntax rule of the bit string) to generate the first bit string. Further, the bit string coding unit 108 entropy-codes the orthogonal transformation and the quantized residual according to the specified syntax to generate a second bit string. The bit string coding unit 108 multiplexes the first bit string and the second bit string according to a specified syntax, and outputs a bit stream.

The inverse quantization / inverse orthogonal transformation unit 109 calculates the residual by inverse quantizing and inverse orthogonal transformation of the orthogonal transformation / quantized residual supplied from the orthogonal transformation / quantization unit 107, and the calculated residual. The difference is supplied to the decoded image signal superimposing unit 110.

The decoded image signal superimposition unit 110 superimposes the predicted image signal according to the determination by the prediction method determination unit 105 and the residuals dequantized and inversely orthogonally transformed by the inverse quantization / inverse orthogonal transformation unit 109 to obtain the decoded image. Generated and stored in the decoded image memory 104. The decoded image signal superimposing unit 110 may store the decoded image in the decoded image memory 104 after performing a filtering process on the decoded image to reduce distortion such as block distortion due to encoding.

The coding information storage memory 111 stores coding information such as a prediction mode (inter-prediction or intra-prediction) determined by the prediction method determination unit 105. In the case of inter-prediction, the coding information stored in the coding information storage memory 111 includes inter-prediction information such as a determined motion vector, a reference index of reference lists L0 and L1, and a history prediction motion vector candidate list. In the case of the merge mode of inter-prediction, the coding information stored in the coding information storage memory 111 includes the merge index and information indicating whether or not the sub-block merge mode is used (sub-block merge flag) in addition to the above-mentioned information. ) Inter-prediction information is included. Further, in the case of the predicted motion vector mode of inter-prediction, in addition to the above-mentioned information, the coded information stored in the coded information storage memory 111 includes the inter-predicted mode, the predicted motion vector index, the differential motion vector, and the sub-block prediction. Inter-prediction information such as information indicating whether or not the motion vector mode is set (subblock prediction motion vector flag) is included. In the case of intra-prediction, the coded information stored in the coded information storage memory 111 includes intra-prediction information such as the determined intra-prediction mode.

FIG. 2 is a block showing a configuration of an image decoding device according to an embodiment of the present invention corresponding to the image coding device of FIG. The image decoding device of the embodiment includes a bit string decoding unit 201, a block division unit 202, an inter prediction unit 203, an intra prediction unit 204, a coded information storage memory 205, an inverse quantization / inverse orthogonal transformation unit 206, and a decoded image signal superimposition. A unit 207 and a decoded image memory 208 are provided.

Since the decoding process of the image decoding device of FIG. 2 corresponds to the decoding process provided inside the image coding device of FIG. 1, the coded information storage memory 205 of FIG. Each configuration of the orthogonal transformation unit 206, the decoded image signal superimposing unit 207, and the decoded image memory 208 includes the coding information storage memory 111 of the image coding apparatus of FIG. 1, the inverse quantization / inverse orthogonal transformation unit 109, and the decoded image signal. It has a function corresponding to each configuration of the superimposing unit 110 and the decoded image memory 104.

The bit stream supplied to the bit string decoding unit 201 is separated according to a specified syntax rule. The bit string decoding unit 201 decodes the separated first bit string and obtains the sequence, the picture, the slice, the information in the coded block unit, and the coded information in the coded block unit. Specifically, the bit string decoding unit 201 decodes the prediction mode PredMode for determining whether it is inter-prediction (MODE_INTER) or intra-prediction (MODE_INTRA) for each coded block. When the prediction mode is inter-prediction (MODE_INTER), the bit string decoding unit 201
Flag to determine whether it is in merge mode, merge index in merge mode, subblock merge flag, inter prediction mode in predictive motion vector mode, predictive motion vector index, differential motion vector, subblock predictive motion vector flag The coded information (inter-prediction information) related to the above is decoded according to the specified syntax, and the coded information (inter-prediction information) is supplied to the coded information storage memory 205 via the inter-prediction unit 203 and the block division unit 202. .. When the prediction mode is intra prediction (MODE_INTRA), the coded information (intra prediction information) such as the intra prediction mode is decoded according to the specified syntax, and the coded information (intra prediction information) is decoded in the inter prediction unit 203 or the intra prediction unit. It is supplied to the coded information storage memory 205 via the 204 and the block division unit 202. The bit string decoding unit 201 decodes the separated second bit string, calculates the orthogonal transformation / quantized residual, and supplies the orthogonal transformation / quantized residual to the inverse quantization / inverse orthogonal transformation unit 206. do.

The inter-prediction unit 203 is a coded information storage memory 205 when the prediction mode PredMode of the coded block to be processed is inter-prediction (MODE_INTER) and the prediction motion vector mode.
Using the coded information of the image signal already decoded stored in, multiple predictive motion vector candidates are derived, and the derived predictive motion vector candidates are added to the predictive motion vector candidate list described later. to register. The inter-prediction unit 203 selects a predicted motion vector corresponding to the predicted motion vector index decoded and supplied by the bit string decoding unit 201 from a plurality of predicted motion vector candidates registered in the predicted motion vector candidate list. A motion vector is calculated from the differential motion vector decoded by the bit string decoding unit 201 and the selected predicted motion vector, and the calculated motion vector is stored together with other coding information in the coding information storage memory 205.
Store in. The coding information of the coding block supplied and stored here is the prediction mode PredMode.
, L0 prediction, and flags indicating whether to use L1 prediction predFlag L0 [xP] [yP], predFlag
Reference indexes of L1 [xP] [yP], L0, L1 refIdxL0 [xP] [yP], refIdxL1 [xP] [yP], L0
, L1 motion vector mvL0 [xP] [yP], mvL1 [xP] [yP], etc. Here, xP and yP are indexes indicating the positions of the upper left pixels of the coding block in the picture. Prediction mode PredMo
When de is inter-prediction (MODE_INTER) and the inter-prediction mode is L0 prediction (Pred_L0), the flag predFlagL0 indicating whether to use L0 prediction is 1 and the flag predFlag L1 indicating whether to use L1 prediction is 0. Is. When the inter prediction mode is L1 prediction (Pred_L1)
The flag predFlag L0 indicating whether or not to use the L0 prediction is 0, and the flag predFlag L1 indicating whether or not to use the L1 prediction is 1. L0 when the inter-prediction mode is bi-prediction (Pred_BI)
Flags indicating whether to use prediction predFlagL0, L1 Flags indicating whether to use prediction
predFlagL1 is 1 for both. Further, when the prediction mode PredMode of the coded block to be processed is inter-prediction (MODE_INTER) and the merge mode, the merge candidate is derived. Using the coding information of the already decoded coding block stored in the coding information storage memory 205, a plurality of merge candidates are derived, registered in the merge candidate list described later, and registered in the merge candidate list. A flag indicating whether to use the L0 prediction and the L1 prediction of the selected merge candidate by selecting the merge candidate corresponding to the merge index decoded and supplied by the bit string decoding unit 201 from the plurality of merge candidates. predFlagL0 [xP] [yP], predFlagL1 [xP] [yP], L0
, L1 reference index refIdxL0 [xP] [yP], refIdxL1 [xP] [yP], L0, L1 motion vector mvL0 [xP] [yP], mvL1 [xP] [yP], etc. It is stored in the information storage memory 205. Here, xP and yP are indexes indicating the positions of the upper left pixels of the coding block in the picture. The detailed configuration and operation of the inter-prediction unit 203 will be described later.

The intra prediction unit 204 performs intra prediction when the prediction mode PredMode of the coded block to be processed is intra prediction (MODE_INTRA). The coded information decoded by the bit string decoding unit 201 includes an intra prediction mode. The intra prediction unit 204 generates a predicted image signal by intra prediction from the decoded image signal stored in the decoded image memory 208 according to the intra prediction mode included in the coded information decoded by the bit string decoding unit 201. Then, the generated predicted image signal is supplied to the decoded image signal superimposing unit 207. Since the intra prediction unit 204 corresponds to the intra prediction unit 103 of the image coding device 100, the same processing as the intra prediction unit 103 is performed.

The inverse orthogonal transformation / inverse orthogonal transformation unit 206 performs inverse orthogonal transformation and inverse quantization on the orthogonal transformation / quantized residual decoded by the bit string decoding unit 201, and the inverse orthogonal transformation / inverse quantization is performed. Get the residuals.

The decoded image signal superimposition unit 207 is an inverse quantization / inverse orthogonal transformation unit 206 with the predicted image signal inter-predicted by the inter-prediction unit 203 or the predicted image signal intra-predicted by the intra-prediction unit 204. The decoded image signal is decoded by superimposing the inversely quantized residual, and the decoded image signal is stored in the decoded image memory 208. When storing in the decoded image memory 208, the decoded image signal superimposing unit 207 may store the decoded image in the decoded image memory 208 after performing a filtering process for reducing block distortion or the like due to coding. ..

Next, the operation of the block dividing unit 101 in the image coding apparatus 100 will be described.
FIG. 3 is a flowchart showing an operation of dividing an image into tree blocks and further dividing each tree block. First, the input image is divided into tree blocks of a predetermined size (step S1001). Each tree block is scanned in a predetermined order, that is, in the order of raster scan (step S1002), and the inside of the tree block to be processed is divided (step S1003).

FIG. 7 is a flowchart showing the detailed operation of the division process of step S1003. First, it is determined whether or not to divide the block to be processed into four (step S1101).

If it is determined that the processing target block is divided into four, the processing target block is divided into four (step S1102). For each block that divides the block to be processed, Z scan order,
That is, scanning is performed in the order of upper left, upper right, lower left, and lower right (step S1103). FIG. 5 is an example of the Z scan order, and FIG. 601 of FIG. 6A is an example of dividing the processing target block into four. Figure 6
Numbers 0 to 3 of 601 of A indicate the order of processing. Then, the division process of FIG. 7 is recursively executed for each block divided in step S1101 (step S1104).
).

If it is determined that the block to be processed is not divided into four, it is divided into 2-3 (step S1).
105).

FIG. 8 is a flowchart showing the detailed operation of the 2-3 division process of step S1105. First, it is determined whether or not the block to be processed is divided into 2-3, that is, whether or not to perform either 2-division or 3-division (step S1201).

If it is not determined that the block to be processed is divided into 2-3, that is, if it is determined not to be divided, the division is terminated (step S1211). That is, the block divided by the recursive division process is not further recursively divided.

If it is determined that the block to be processed is divided into 2-3, the block to be processed is further divided into 2.
It is determined whether or not to divide (step S1202).

When it is determined that the processing target block is divided into two, it is determined whether or not to divide the processing target block vertically (vertical direction) (step S1203), and based on the result, the processing target block is vertically divided (vertically). It is divided into two (step S1204) or the processing target block is divided into two in the left-right (horizontal direction) (step S1205). As a result of step S1204, the processing target block is divided into upper and lower (vertical) two divisions as shown in 602 of FIG. 6B, and as a result of step S1205, the processing target block is left and right (horizontal) as shown in 604 of FIG. 6D. Direction) Divided into two parts.

If it is not determined in step S1202 that the block to be processed is divided into two, that is, if it is determined to be divided into three, it is determined whether or not to divide the block to be processed into upper, middle and lower (vertical direction) (step S1206). ), Based on the result, the processing target block is divided into three in the upper, middle, and lower (vertical direction) (step S1207), or the processing target block is divided into left, middle, and right (step S1207).
(Horizontal direction) is divided into three (step S1208). As a result of step S1207, the processing target block is divided into upper, middle and lower (vertical) three divisions as shown in 603 of FIG. 6C, and as a result of step S1208, the processing target block is left as shown in 605 of FIG. 6E. It is divided into three parts on the right (horizontal direction).

Step S1204, Step S1205, Step S1207, Step S1208
After executing any of the above, each block obtained by dividing the block to be processed is scanned in the order of left to right and top to bottom (step S1209). Numbers 0 to 602 to 605 of FIGS. 6B to E
2 indicates the order of processing. For each of the divided blocks, the 2-3 division process of FIG. 8 is recursively executed (step S1210).

In the recursive block division described here, the necessity of division may be limited depending on the number of divisions, the size of the block to be processed, and the like. The information that limits the necessity of division may be realized in a configuration that does not transmit information by making an agreement in advance between the coding device and the decoding device, or the coding device limits the necessity of division. It may be realized by the configuration which transmits to the decoding apparatus by deciding the information to be performed and recording it in a bit string.

When a certain block is divided, the block before division is called a parent block, and each block after division is called a child block.

Next, the operation of the block dividing unit 202 in the image decoding device 200 will be described. The block division unit 202 divides the tree block by the same processing procedure as the block division unit 101 of the image coding device 100. However, in the block division portion 101 of the image coding apparatus 100, an optimization method such as estimation of the optimum shape by image recognition and optimization of the distortion rate is applied.
While the optimum block division shape is determined, the block division unit 202 in the image decoding device 200 is different in that the block division shape is determined by decoding the block division information recorded in the bit string.

The syntax (syntax rule of the bit string) regarding the block division of the first embodiment is shown in FIG.
Shown in. coding_quadtree () represents the syntax of the block quadtree processing. multi
_type_tree () represents the syntax for dividing the block into two or three. qt_spl
it is a flag indicating whether or not to divide the block into four. If you want to divide the block into 4 parts, qt
If _split = 1 and not divided into four, set qt_split = 0. When dividing into 4 (qt_split = 1),
Recursively divide into 4 blocks for each block divided into 4 (coding_quadtree (0), codin)
g_quadtree (1), coding_quadtree (2), coding_quadtree (3), arguments 0 to 3 are 6 in Fig. 6A.
Corresponds to the number 01. ). When not dividing into four (qt_split = 0), the subsequent division is determined according to multi_type_tree (). mtt_split is a flag indicating whether or not to further divide.
When further dividing (mtt_split = 1), mtt_split_vertical, which is a flag indicating whether to divide vertically or horizontally, and mtt_split_binary, which is a flag determining whether to divide into two or three, are transmitted. mtt_split_vertical = 1 indicates splitting in the vertical direction, and mtt_split_vertical = 0 indicates splitting in the horizontal direction. mtt_split_binary = 1 means
It indicates that it is divided into two, and mtt_split_binary = 0 indicates that it is divided into three. When dividing into two (m
tt_split_binary = 1) Recursively divide each block divided into two (multi_t)
ype_tree (0), multi_type_tree (1), arguments 0 to 1 correspond to the numbers 602 or 604 in FIGS. 6B to 6D. ). When dividing into 3 (mtt_split_binary = 0), recursively divide each block divided into 3 (multi_type_tree (0), multi_type_tree (1), multi_type_
tree (2), 0-2, correspond to the numbers 603 in FIG. 6B or 605 in FIG. 6E. ). mtt_spli
Hierarchical block division is performed by recursively calling multi_type_tree until t = 0.

<Inter prediction>
The inter-prediction method according to the embodiment is the inter-prediction unit 102 of the image coding apparatus of FIG.
And, it is carried out in the inter-prediction unit 203 of the image decoding apparatus of FIG.

The inter-prediction method according to the embodiment will be described with reference to the drawings. The inter-prediction method is performed by either coding or decoding processing in units of coded blocks.

<Explanation of the inter-prediction unit 102 on the coding side>
FIG. 16 is a diagram showing a detailed configuration of the inter-prediction unit 102 of the image coding device of FIG. 1.
The normal predicted motion vector mode derivation unit 301 derives a plurality of normal predicted motion vector candidates, selects a predicted motion vector, and calculates a difference motion vector between the selected predicted motion vector and the detected motion vector. The detected inter-prediction mode, reference index, motion vector, and calculated differential motion vector are used as inter-prediction information in the normal predicted motion vector mode. This inter-prediction information is supplied to the inter-prediction mode determination unit 305. The detailed configuration and processing of the normal predicted motion vector mode derivation unit 301 will be described later.

The normal merge mode derivation unit 302 derives a plurality of normal merge candidates, selects the normal merge candidates, and obtains inter-prediction information in the normal merge mode. This inter-prediction information is supplied to the inter-prediction mode determination unit 305. The detailed configuration and processing of the normal merge mode derivation unit 302 will be described later.

The subblock predictive motion vector mode derivation unit 303 derives a plurality of subblock predictive motion vector candidates, selects a subblock predictive motion vector, and selects a differential motion vector between the selected subblock predictive motion vector and the detected motion vector. calculate. The detected inter-prediction mode, reference index, motion vector, and calculated difference motion vector become the inter-prediction information of the sub-block prediction motion vector mode. This inter-prediction information is supplied to the inter-prediction mode determination unit 305.

The sub-block merge mode derivation unit 304 derives a plurality of sub-block merge candidates, selects the sub-block merge candidates, and obtains the inter-prediction information of the sub-block merge mode. This inter-prediction information is supplied to the inter-prediction mode determination unit 305.

The inter prediction mode determination unit 305 is based on the inter prediction information supplied from the normal prediction motion vector mode derivation unit 301, the normal merge mode derivation unit 302, the subblock prediction motion vector mode derivation unit 303, and the subblock merge mode derivation unit 304. , Judge inter-prediction information. Inter-prediction mode determination unit 305 supplies inter-prediction information according to the determination result to motion compensation prediction unit 306.

The decoded image memory 1 is based on the inter-prediction information determined by the motion compensation prediction unit 306.
Inter-prediction is performed for the reference image signal stored in 04. Motion compensation prediction unit 306
The detailed configuration and processing of the above will be described later.

<Explanation of inter-prediction unit 203 on the decoding side>
FIG. 22 is a diagram showing a detailed configuration of the inter-prediction unit 203 of the image decoding device of FIG. 2.

The normal predicted motion vector mode derivation unit 401 derives a plurality of normal predicted motion vector candidates, selects a predicted motion vector, calculates an addition value between the selected predicted motion vector and the decoded differential motion vector, and uses the motion vector as a motion vector. do. The decoded inter-prediction mode, reference index, and motion vector are the inter-prediction information of the normal prediction motion vector mode. This inter-prediction information is supplied to the motion compensation prediction unit 406 via the switch 408. The detailed configuration and processing of the normal predicted motion vector mode derivation unit 401 will be described later.

The normal merge mode derivation unit 402 derives a plurality of normal merge candidates, selects the normal merge candidates, and obtains inter-prediction information in the normal merge mode. This inter-prediction information is supplied to the motion compensation prediction unit 406 via the switch 408. The detailed configuration and processing of the normal merge mode derivation unit 402 will be described later.

The sub-block predictive motion vector mode derivation unit 403 derives a plurality of sub-block predictive motion vector candidates, selects a sub-block predictive motion vector, and calculates the added value of the selected sub-block predictive motion vector and the decoded differential motion vector. Calculate and use as a motion vector. The decoded inter-prediction mode, reference index, and motion vector are the inter-prediction information of the sub-block prediction motion vector mode. This inter prediction information is switch 408
It is supplied to the motion compensation prediction unit 406 via.

The sub-block merge mode derivation unit 404 derives a plurality of sub-block merge candidates, selects the sub-block merge candidates, and obtains the inter-prediction information of the sub-block merge mode. This inter-prediction information is supplied to the motion compensation prediction unit 406 via the switch 408.

The decoded image memory 2 is based on the inter-prediction information determined by the motion compensation prediction unit 406.
Inter-prediction is performed for the reference image signal stored in 08. Motion compensation prediction unit 406
The detailed configuration and processing of the above are the same as those of the motion compensation prediction unit 306 on the coding side.

<Normal predicted motion vector mode derivation unit (normal AMVP)>
The normal prediction motion vector mode derivation unit 301 of FIG. 17 includes a spatial prediction motion vector candidate derivation unit 321, a time prediction motion vector candidate derivation unit 322, and a history prediction motion vector candidate derivation unit 3.
23, a predicted motion vector candidate supplementing unit 325, a normal motion vector detecting unit 326, a predicted motion vector candidate selection unit 327, and a motion vector subtracting unit 328 are included.

The normal prediction motion vector mode derivation unit 401 of FIG. 23 includes a spatial prediction motion vector candidate derivation unit 421, a time prediction motion vector candidate derivation unit 422, and a history prediction motion vector candidate derivation unit 4.
23, a predicted motion vector candidate supplementing unit 425, a predicted motion vector candidate selection unit 426, and a motion vector addition unit 427 are included.

The processing procedures of the normal predictive motion vector mode derivation unit 301 on the coding side and the normal predictive motion vector mode derivation unit 401 on the decoding side will be described with reference to the flowcharts of FIGS. 19 and 25, respectively. FIG. 19 is a flowchart showing a normal motion vector mode derivation processing procedure by the normal motion vector mode derivation unit 301 on the coding side, and FIG. 25 is a normal motion vector mode derivation process by the normal motion vector mode derivation unit 401 on the decoding side. It is a flowchart which shows the procedure.

<Normal predicted motion vector mode derivation part (normal AMVP): Explanation on the coding side>
A procedure for deriving the normal predicted motion vector mode on the coding side will be described with reference to FIG. In the description of the processing procedure of FIG. 19, the word "normal" shown in FIG. 19 may be omitted.

First, the normal motion vector detection unit 326 detects the normal motion vector for each inter-prediction mode and reference index (step S100 in FIG. 19).

Subsequently, the spatial prediction motion vector candidate derivation unit 321 and the time prediction motion vector candidate derivation unit 3
22, History prediction motion vector candidate derivation unit 323, prediction motion vector candidate supplementation unit 325, prediction motion vector candidate selection unit 327, motion vector subtraction unit 328, the difference motion vector of the motion vector used in the inter-prediction of the normal prediction motion vector mode. Is calculated for each of L0 and L1, respectively (steps S101 to S106 in FIG. 19). Specifically, the prediction mode PredMode of the block to be processed is inter-prediction (MODE_INTER), and the inter-prediction mode is L0 prediction (Pr).
In the case of ed_L0), the predicted motion vector candidate list mvpListL0 of L0 is calculated, the predicted motion vector mvpL0 is selected, and the differential motion vector mvdL0 of the motion vector mvL0 of L0 is calculated. When the inter-prediction mode of the processing target block is L1 prediction (Pred_L1), the predicted motion vector candidate list mvpListL1 of L1 is calculated, the predicted motion vector mvpL1 is selected, and the difference motion vector mvdL1 of the motion vector mvL1 of L1 is calculated. .. When the inter-prediction mode of the processing target block is bi-prediction (Pred_BI), L0 prediction and L1 prediction are performed together, L0 prediction motion vector candidate list mvpListL0 is calculated, L0 prediction motion vector mvpL0 is selected, and L0. The motion vector mvL0 of the motion vector mvL0 is calculated, the predicted motion vector candidate list mvpListL1 of L1 is calculated, the predicted motion vector mvpL1 of L1 is calculated, and the differential motion vector mvdL1 of the motion vector mvL1 of L1 is calculated. do.

The difference motion vector calculation process is performed for each of L0 and L1, but both L0 and L1 are common processes. Therefore, in the following description, L0 and L1 are represented as a common LX. In the process of calculating the differential motion vector of L0, X of LX is 0, and in the process of calculating the differential motion vector of L1, X of LX is 1. Further, when the information of the other list is referred to instead of the LX during the process of calculating the differential motion vector of the LX, the other list is represented as LY.

When using the motion vector mvLX of LX (step S102: YES in FIG. 19), LX
Predictive motion vector candidate list mvpListLX of LX is constructed by calculating the candidate of the predicted motion vector of FIG. 19 (step S103 of FIG. 19). Multiple predicted motions in the space predicted motion vector candidate derived section 321 in the normal predicted motion vector mode derived section 301, the time predicted motion vector candidate derived section 322, the historical predicted motion vector candidate derived section 323, and the predicted motion vector candidate supplement section 325. Derivation of vector candidates and construction of predicted motion vector candidate list mvpListLX. FIG. 19
The detailed processing procedure of step S103 will be described later with reference to the flowchart of FIG.

Subsequently, the predicted motion vector candidate selection unit 327 selects the LX predicted motion vector mvpLX from the LX predicted motion vector candidate list mvpListLX (step S104 in FIG. 19).
.. Here, in the predicted motion vector candidate list mvpListLX, one element (the i-th element counting from 0) is represented as mvpListLX [i]. Calculate each difference motion vector which is the difference between the motion vector mvLX and the candidate mvpListLX [i] of each predicted motion vector stored in the predicted motion vector candidate list mvpListLX. The code amount when these difference motion vectors are encoded is calculated for each element (predicted motion vector candidate) of the predicted motion vector candidate list mvpListLX. Then, in each element registered in the predicted motion vector candidate list mvpListLX,
The candidate mvpListLX [i] of the predicted motion vector that minimizes the sign amount for each candidate of the predicted motion vector is selected as the predicted motion vector mvpLX, and its index i is acquired. When there are multiple candidates for the predicted motion vector with the minimum generated code in the predicted motion vector candidate list mvpListLX, the index i in the predicted motion vector candidate list mvpListLX is represented by a small number. Select the candidate mvpListLX [i] as the optimal predicted motion vector mvpLX and get its index i.

Subsequently, the motion vector subtraction unit 328 subtracts the selected LX predicted motion vector mvpLX from the LX motion vector mvLX.
mvdLX = mvLX --mvpLX
The difference motion vector mvdLX of LX is calculated as (step S105 in FIG. 19).

<Normal predicted motion vector mode derivation unit (normal AMVP): Explanation on the decoding side>
Next, the normal predicted motion vector mode processing procedure on the decoding side will be described with reference to FIG. 25. On the decoding side, the spatial prediction motion vector candidate derivation unit 421 and the time prediction motion vector candidate derivation unit 4
22, history prediction motion vector candidate derivation unit 423, prediction motion vector candidate supplementation unit 425,
The motion vector used in the inter-prediction of the normal prediction motion vector mode is calculated for each L0 and L1 (steps S201 to S206 in FIG. 25). Specifically, when the prediction mode PredMode of the processing target block is inter-prediction (MODE_INTER) and the inter-prediction mode of the processing target block is L0 prediction (Pred_L0), the prediction motion vector candidate list mvpListL0 of L0 is calculated and the prediction motion is predicted. Select the vector mvpL0 and calculate the motion vector mvL0 of L0. When the inter-prediction mode of the processing target block is L1 prediction (Pred_L1), the predicted motion vector candidate list mvpListL1 of L1 is calculated, the predicted motion vector mvpL1 is selected, and the motion vector mvL1 of L1 is calculated. When the inter-prediction mode of the block to be processed is bi-prediction (Pred_BI), both L0 prediction and L1 prediction are performed, L0 prediction motion vector candidate list mvpListL0 is calculated, L0 prediction motion vector mvpL0 is selected, and L0. The motion vector mvL0 of L1 is calculated, the predicted motion vector candidate list mvpListL1 of L1 is calculated, the predicted motion vector mvpL1 of L1 is calculated, and the motion vector mvL1 of L1 is calculated respectively.

Similar to the coding side, the decoding side also performs motion vector calculation processing for each of L0 and L1, but both L0 and L1 are common processing. Therefore, in the following description, L0,
L1 is represented as a common LX. LX represents an inter-prediction mode used for inter-prediction of the coded block to be processed. In the process of calculating the motion vector of L0, X is 0 and L1
X is 1 in the process of calculating the motion vector of. Further, when the information of the other reference list is referred to instead of the same reference list as the LX to be calculated during the process of calculating the motion vector of the LX, the other reference list is represented as LY.

When using the motion vector mvLX of LX (step S202: YES in FIG. 25), LX
LX predicted motion vector candidate list mvpListLX is constructed by calculating the predicted motion vector candidates of LX (step S203 in FIG. 25). A plurality of predicted motions in the space predicted motion vector candidate derived section 421, the time predicted motion vector candidate derived section 422, the historical predicted motion vector candidate derived section 423, and the predicted motion vector candidate supplement section 425 in the normal predicted motion vector mode derivation section 401. Calculate vector candidates and build a predicted motion vector candidate list mvpListLX. FIG. 25
The detailed processing procedure of step S203 will be described later with reference to the flowchart of FIG.

Then, the predicted motion vector candidate selection unit 426 uses the predicted motion vector candidate list mvpListLX.
Index mv of the predicted motion vector decoded and supplied by the bit string decoding unit 201 from
The candidate mvpListLX [mvpIdxLX] of the predicted motion vector corresponding to pIdxLX is extracted as the selected predicted motion vector mvpLX (step S204 in FIG. 25).

Subsequently, the LX difference motion vector mvdLX and the LX predicted motion vector mvpLX decoded and supplied by the bit string decoding unit 201 by the motion vector addition unit 427 are added.
mvLX = mvpLX + mvdLX
The motion vector mvLX of LX is calculated as (step S205 in FIG. 25).

<Normal prediction motion vector mode derivation unit (normal AMVP): Motion vector prediction method>
FIG. 20 shows a normal predictive motion vector mode derivation unit having a function common to the normal predictive motion vector mode derivation unit 301 of the image coding device and the normal predictive motion vector mode derivation unit 401 of the image decoding device according to the embodiment of the present invention. It is a flowchart which shows the processing procedure of processing.

Normal predicted motion vector mode derivation unit 301 and normal prediction motion vector mode derivation unit 40
In No. 1, a predicted motion vector candidate list mvpListLX is provided. The predicted motion vector candidate list mvpListLX has a list structure, and is provided with a storage area for storing the predicted motion vector index indicating the location inside the predicted motion vector candidate list and the predicted motion vector candidate corresponding to the index as elements. .. The number of the predicted motion vector index starts from 0, and the predicted motion vector candidate is stored in the storage area of the predicted motion vector candidate list mvpListLX. In the present embodiment, the predicted motion vector candidate list mvpListLX can register at least two predicted motion vector candidates (inter-prediction information). Further, 0 is set in the variable numCurrMvpCand indicating the number of predicted motion vector candidates registered in the predicted motion vector candidate list mvpListLX.

Spatial predicted motion vector candidate derivation units 321 and 421 derive predictive motion vector candidates from adjacent blocks on the left side. In this process, the inter-prediction information of the block (A0 or A1 in FIG. 11) adjacent to the left side, that is, the flag indicating whether or not the predicted motion vector candidate can be used, the motion vector, the reference index, and the like are referred to for the predicted motion. Vector mv
LXA is derived, and the derived mvLXA is added to the predicted motion vector candidate list mvpListLX (Fig. 20).
Step S301). In addition, X is 0 in the case of L0 prediction, and X is 1 in the case of L1 prediction (the same applies hereinafter). Subsequently, the spatial prediction motion vector candidate derivation units 321 and 421 derive the prediction motion vector candidates from the adjacent blocks on the upper side. In this process, the inter-prediction information of the block adjacent to the upper side (B0, B1, or B2 in FIG. 11), that is, the flag indicating whether or not the predicted motion vector candidate is available, the motion vector, the reference index, and the like are referred to. The predicted motion vector mvLXB is derived, and if the derived mvLXA and mvLXB are not equal, mvLXB is added to the predicted motion vector candidate list mvpListLX (step S3 in FIG. 20).
02). The processing of steps S301 and S302 in FIG. 20 is common except that the position and number of adjacent blocks to be referred to are different, and the flag availableFlagLXN indicating whether or not the predicted motion vector candidate of the coded block can be used, and the motion vector mvLXN. , Reference index refIdxN (
N indicates A or B, and so on).

Subsequently, the time prediction motion vector candidate derivation units 322 and 422 derive candidates for the prediction motion vector from the block in the picture whose time is different from the current processing target picture. In this process, the flag availableFlagLXCol indicating whether the predicted motion vector candidates of the coded blocks of the pictures at different times are available, and the motion vector mvLXCol, the reference index refIdxCol, and the reference list listCol are derived, and the mvLXCol is the predicted motion vector candidate. List m
Add to vpListLX (step S303 in FIG. 20).

It should be noted that the processing of the time prediction motion vector candidate derivation units 322 and 422 can be omitted in units of sequence (SPS), picture (PPS), or slice.

Subsequently, the history prediction motion vector candidate derivation units 323 and 423 add the history prediction motion vector candidates registered in the history prediction motion vector candidate list HmvpCandList to the prediction motion vector candidate list mvpListLX. (Step S304 in FIG. 20). This step S304
The details of the registration processing procedure will be described later with reference to the flowchart of FIG.

Subsequently, the predicted motion vector candidate supplementing units 325 and 425 are the predicted motion vector candidate list mv.
Add predictive motion vector candidates with a given value, such as (0,0), until pListLX is satisfied (
S305 in FIG. 20).

<Normal merge mode derivation section (normal merge)>
The normal merge mode derivation unit 302 of FIG. 18 has a spatial merge candidate derivation unit 341, a time merge candidate derivation unit 342, an average merge candidate derivation unit 344, a history merge candidate derivation unit 345, a merge candidate replenishment unit 346, and a merge candidate selection unit 347. including.

The normal merge mode derivation unit 402 in FIG. 24 includes a spatial merge candidate derivation unit 441, a time merge candidate derivation unit 442, an average merge candidate derivation unit 444, a history merge candidate derivation unit 445, a merge candidate replenishment unit 446, and a merge candidate selection unit 447. including.

FIG. 21 describes a procedure for a normal merge mode derivation process having a function common to the normal merge mode derivation unit 302 of the image coding device and the normal merge mode derivation unit 402 of the image decoding device according to the embodiment of the present invention. It is a flowchart.

The various processes will be explained step by step below. In the following description, unless otherwise specified, the case where the slice type slice_type is B slice is described, but it can also be applied to the case of P slice. However, when the slice type slice_type is P slice, there is only L0 prediction (Pred_L0) as an inter prediction mode, and L1 prediction (Pred_L1) and double prediction (Pred_BI).
Since there is no such thing, the process related to L1 can be omitted.

The normal merge mode derivation unit 302 and the normal merge mode derivation unit 402 include a merge candidate list mergeCandList. Merge candidate list mergeCandList has a list structure and
A merge index indicating the location inside the merge candidate list and a storage area for storing the merge candidates corresponding to the index as elements are provided. The number in the merge index is 0
The merge candidates are stored in the storage area of the mergeCandList. In the subsequent processing, the merge index i registered in the merge candidate list mergeCandList
The merge candidate of is represented by mergeCandList [i]. In the present embodiment, the merge candidate list mergeCandList can register at least 6 merge candidates (inter-prediction information). Further, 0 is set in the variable numCurrMergeCand indicating the number of merge candidates registered in the merge candidate list mergeCandList.

In the space merge candidate derivation unit 341 and the space merge candidate derivation unit 441, the processing target block is obtained from the coding information stored in the coding information storage memory 111 of the image coding device or the coding information storage memory 205 of the image decoding device. Each block adjacent to (B in FIG. 11)
Spatial merge candidates from 1, A1, B0, A0, B2) are derived in the order of B1, A1, B0, A0, B2, and the derived spatial merge candidates are registered in the merge candidate list mergeCandList (step in FIG. 21). S401). Here, N indicating any of B1, A1, B0, A0, B2 or a time merge candidate Col is defined. Flags availableFlagN indicating whether the inter-prediction information of block N can be used as a spatial merge candidate, L0 reference index refIdxL0N of L0 of spatial merge candidate N, and L0 prediction indicating whether L0 prediction is performed. The L1 prediction flags predFlagL1N and L0 motion vectors mvL0N and L1 motion vectors mvL1N, which indicate whether or not the flags predFlag L0N and L1 prediction are performed, are derived. However, in the present embodiment, since the merge candidate is derived without referring to the inter-prediction information of the block included in the coded block to be processed, the inter-prediction information of the block included in the coded block to be processed is derived. Do not derive spatial merge candidates that use.

Subsequently, the time merge candidate derivation unit 342 and the time merge candidate derivation unit 442 derive the time merge candidates from the pictures at different times and register the derived time merge candidates in the merge candidate list mergeCandList (FIG. 21). Step S402). Flags availableFlagCol indicating whether time merge candidates are available, L0 prediction flags predFlagL0Col indicating whether L0 prediction of time merge candidates is performed, L1 prediction flags predFlagL1Col indicating whether L1 prediction is performed, and L0. The motion vector mvL0Col and the motion vector mvL1Col of L1 are derived.

It should be noted that the processing of the time merge candidate derivation unit 342 and the time merge candidate derivation unit 442 can be omitted in units of sequence (SPS), picture (PPS), or slice.

Subsequently, the history merge candidate derivation unit 345 and the history merge candidate derivation unit 445 register the history prediction motion vector candidates registered in the history prediction motion vector candidate list HmvpCandList in the merge candidate list mergeCandList (step S403 in FIG. 21). ..
The number of merge candidates registered in the merge candidate list mergeCandList numCurrMergeC
If and is less than the maximum number of merge candidates, MaxNumMergeCand, then the merge candidate list mergeCandL
Number of merge candidates registered in ist numCurrMergeCand is the maximum number of merge candidates MaxNumMergeCa
History merge candidates are derived with nd as the upper limit and registered in the merge candidate list mergeCandList.

Subsequently, the average merge candidate derivation unit 344 and the average merge candidate derivation unit 444 derive the average merge candidate from the merge candidate list mergeCandList and add the derived average merge candidate to the merge candidate list mergeCandList (step of FIG. 21). S404).
The number of merge candidates registered in the merge candidate list mergeCandList numCurrMergeC
If and is less than the maximum number of merge candidates, MaxNumMergeCand, then the merge candidate list mergeCandL
Number of merge candidates registered in ist numCurrMergeCand is the maximum number of merge candidates MaxNumMergeCa
Average merge candidates are derived with nd as the upper limit and registered in the merge candidate list mergeCandList.
Here, the average merge candidate has a motion vector obtained by averaging the motion vectors of the first merge candidate and the second merge candidate registered in the merge candidate list mergeCandList for each L0 prediction and L1 prediction. Candidate for merge.

Subsequently, in the merge candidate replenishment unit 346 and the merge candidate replenishment unit 446, the merge candidate list
The maximum number of merge candidates numCurrMergeCand registered in the mergeCandList is M.
If it is smaller than axNumMergeCand, the number of merge candidates registered in the merge candidate list mergeCandList numCurrMergeCand derives additional merge candidates up to the maximum number of merge candidates MaxNumMergeCand and registers them in the merge candidate list mergeCandList (step S4 in FIG. 21).
05). With the maximum number of merge candidates MaxNumMergeCand as the upper limit, in the P slice, merge candidates whose motion vector has a value of (0,0) and whose prediction mode is L0 prediction (Pred_L0) are added.
In the B slice, the prediction mode in which the motion vector has a value of (0,0) is bi-prediction (Pred_BI).
Add merge candidates for. The reference index when adding a merge candidate is different from the reference index already added.

Subsequently, in the merge candidate selection unit 347 and the merge candidate selection unit 447, the merge candidate list
Select a merge candidate from the merge candidates registered in the mergeCandList. The merge candidate selection unit 347 on the coding side selects the merge candidate by calculating the code amount and the strain amount, and displays the merge index indicating the selected merge candidate and the inter-prediction information of the merge candidate.
It is supplied to the motion compensation prediction unit 306 via the inter prediction mode determination unit 305. On the other hand, the merge candidate selection unit 447 on the decoding side selects the merge candidate based on the decoded merge index, and supplies the selected merge candidate to the motion compensation prediction unit 406.

<Time prediction motion vector>
Prior to the explanation of the time prediction motion vector, the temporal context of the picture will be described. FIG. 38A shows the relationship between the coded block to be processed and the picture when the picture to be processed is different in time. A specific processed picture referred to in the processing of the time prediction motion vector for the processed picture is defined as ColPic. ColPic is identified by syntax. Further, FIG. 38B shows the processed coded blocks existing at the same position as the coded block to be processed and in the vicinity thereof in ColPic.

Next, the operation of the time prediction motion vector candidate derivation unit 322 in the normal prediction motion vector mode derivation unit 301 of FIG. 17 will be described with reference to FIG. 39.

First, ColPic is derived (step S4201). Next, the coding block colCb is derived and the coding information is acquired (step S4202). colCb is a coded block existing in the lower right of the same position as the coded block to be processed in ColPic. This coded block is
Corresponds to the coding block T0 in FIG. 38B. However, if the prediction mode PredMode of this colCb is not available or is intra-prediction (MODE_INTRA), the coded block existing in the lower right of the center at the same position as the coded block to be processed in ColPic is set as colCb. This coded block corresponds to the coded block T1 in FIG. 38B.

Next, inter-prediction information is derived for each reference list (S4203, S4204).
Here, for the coded block colCb, the motion vector mvLXCol for each reference list and the flag availableFlagLXCol indicating whether or not the coded information is valid are derived. LX indicates a reference list, LX is L0 in the derivation of reference list 0, and LX is L1 in the derivation of reference list 1. AvailableFlagLXCol = 0, mvLXCol = (0,0) if inter-prediction information is not available
Will be. On the other hand, if inter-prediction information is available, availableFlagLXCol = 1. Further, mvLXCol is obtained by selecting a motion vector of L0 or L1 of colCb according to the prediction mode of the coding block colCb and scaling the motion vector. Scaling is calculated based on the ratio of POC between the picture to be processed and the reference picture, and the ratio of POC between ColPic and the reference picture referenced by the selected motion vector.

Then, if availableFlagLXCol = 1, mvLXCol is added as a candidate to the predicted motion vector candidate list mvpListLX in the above-mentioned normal predicted motion vector mode derivation unit 301 (.
S4205). As a result, the processing of the time prediction motion vector candidate derivation unit 322 is completed.

Since the operation of the time prediction motion vector candidate derivation unit 422 in the normal prediction motion vector mode derivation unit 401 of FIG. 23 is the same as that of the time prediction motion vector candidate derivation unit 322 described above, the description thereof will be omitted.

The operation of the time merge candidate derivation unit 342 in the normal merge mode derivation unit 302 of FIG. 18 is substantially the same as the operation of the time prediction motion vector candidate derivation unit 322 described above. However, in S4205 of FIG. 39, only the following operations are performed. Flag availableFlagL0C
When ol or the flag availableFlagL1Col is 1, mvL0Col and mvL1Col are added as candidates to the merge candidate list mergeCandList in the above-mentioned normal merge mode derivation part (
S4205).

Since the operation of the time merge candidate derivation unit 442 in the normal merge mode derivation unit 402 of FIG. 24 is the same as that of the time merge candidate derivation unit 342 described above, the description thereof will be omitted.

<Update of history prediction motion vector candidate list>
Next, the coding information storage memory 111 on the coding side and the coding information storage memory 20 on the decoding side
The method of initializing and updating the history prediction motion vector candidate list HmvpCandList prepared for No. 5 will be described in detail. FIG. 26 is a flowchart illustrating a procedure for initializing / updating the history prediction motion vector candidate list.

In the present embodiment, the history prediction motion vector candidate list HmvpCandList is updated by the coded information storage memory 111 and the coded information storage memory 205. The history prediction motion vector candidate list update unit may be installed in the inter prediction unit 102 and the inter prediction unit 203 to update the history prediction motion vector candidate list HmvpCandList.

Initialize the history prediction motion vector candidate list HmvpCandList at the beginning of the slice, and on the coding side, the history prediction motion vector candidate list HmvpCandList is set when the normal prediction motion vector mode or the normal merge mode is selected by the prediction method determination unit 105. On the decoding side, the history prediction motion vector candidate list HmvpCandList is updated when the prediction information decoded by the bit string decoding unit 201 is in the normal prediction motion vector mode or the normal merge mode.

The inter-prediction information used when performing inter-prediction in the normal prediction motion vector mode or the normal merge mode is registered in the historical prediction motion vector candidate list HmvpCandList as the inter-prediction information candidate hMvpCand. The inter-prediction information candidate hMvpCand includes the reference index refIdxL0 of L0 and the reference index refIdxL1 of L1.
The motion vector mvL0 of agL1 and L0 and the motion vector mvL1 of L1 are included.

Inter-prediction information candidates among the elements (that is, inter-prediction information) registered in the history prediction motion vector candidate list HmvpCandList provided in the coding information storage memory 111 on the coding side and the coding information storage memory 205 on the decoding side. If there is inter-prediction information with the same value as hMvpCand, delete the element from the historical prediction motion vector candidate list HmvpCandList. On the other hand, if there is no inter-prediction information with the same value as the inter-prediction information candidate hMvpCand, the first element of the historical prediction motion vector candidate list HmvpCandList is deleted, and the inter-prediction information candidate is at the end of the historical prediction motion vector candidate list HmvpCandList. Add hMvpCand.

The coding information storage memory 111 on the coding side and the coding information storage memory 2 on the decoding side of the present invention.
The number of elements in the history prediction motion vector candidate list HmvpCandList prepared for 05 is 6.

First, the history prediction motion vector candidate list HmvpCandList is initialized for each slice. Add history prediction motion vector candidates to all elements of the history prediction motion vector candidate list HmvpCandList at the beginning of the slice, and the number of history prediction motion vector candidates registered in the history prediction motion vector candidate list HmvpCandList The value of NumHmvpCand is 6. Set (step S2101 in FIG. 26). In addition, such a numerical value is an example. In actual implementation, for example on a computer system, the numerical values may be changed as needed. The same applies to other numerical values.

Although the initialization of the history prediction motion vector candidate list HmvpCandList is performed in slice units (the first coded block of the slice), it may be performed in picture units, tile units, or tree block line units.

FIG. 40 is a table showing an example of the history prediction motion vector candidates added by the initialization of the history prediction motion vector candidate list HmvpCandList. An example is shown when the slice type is B slice and the number of reference pictures is 4. History prediction motion vector index is from (number of history prediction motion vector candidates NuMHmvpCand-1) to 0, and inter-prediction information with motion vector value (0, 0) according to slice type is used as history prediction motion vector candidates. Add to the predicted motion vector candidate list HmvpCandList to fill the historical predicted motion vector candidate list with history candidates. At this time, the history prediction motion vector index is started from (number of history prediction motion vector candidates NumHmvpCand-1), and the reference index refIdxLX (X is 0 or 1) is 1 from 0 to (number of reference pictures numRefIdx-1). Set the incremented value in increments. After that, the history prediction motion vector candidates are allowed to overlap, and the value of 0 is set in refIdxLX.
By setting a value for all of the number of historical prediction motion vector candidates and setting the value of the number of historical prediction motion vector candidates to a fixed value, invalid historical prediction motion vector candidates are eliminated. In this way, by assigning a small value of the reference index, which generally has a high selectivity, from a candidate whose historical predicted motion vector index has a high probability of being added to the predicted motion vector candidate list or the merge candidate list, the code is coded. It is possible to improve the efficiency of conversion.

Further, by filling the history prediction motion vector candidate list with the history prediction motion vector candidates in slice units, the number of history prediction motion vector candidates can be treated as a fixed value. Therefore, for example, the history prediction motion vector candidate derivation process. And history merge candidate derivation process can be simplified.

Here, the value of the motion vector is generally set to have a high selection probability (0, 0), but it may be a predetermined value. For example, the coding efficiency of the differential motion vector may be improved by setting values such as (4,4), (0,32), (-128,0), or setting a plurality of predetermined values for the differential motion. The coding efficiency of the vector may be improved.

Also, the history prediction motion vector index (number of history prediction motion vector candidates NumHmvpC
Starting from and-1), the reference index refIdxLX (X is 0 or 1) is set to a value incremented by 1 from 0 to (number of reference pictures numRefIdx-1), but the historical prediction motion vector index is set to 0. You may start from.

FIG. 41 is a table showing another example of the history prediction motion vector candidates added by the initialization of the history prediction motion vector candidate list HmvpCandList. An example is shown when the slice type is B slice and the number of reference pictures is 2. In this example, historical prediction motion vector candidate list Hmv
History prediction motion vector candidate list by adding inter-prediction information with different reference index or motion vector value as history prediction motion vector candidates so that each element of pCandList does not overlap with each other. Fill. At this time, the history prediction motion vector index starts from (number of history prediction motion vector candidates NumHmvpCand-1), and the reference index refIdxLX (X is 0 or 1) starts from 0 (number of reference pictures numRefI).
Set the value incremented by 1 up to dx-1). After that, motion vectors with different values at 0 are added to refIdxLX as history prediction motion vector candidates. Eliminate invalid historical prediction motion vector candidates by setting all values for the number of historical prediction motion vector candidates and setting the value of the number of historical prediction motion vector candidates to a fixed value.

In this way, by filling the history prediction motion vector candidate list with non-overlapping history prediction motion vector candidates in slice units, the history merge candidates in the normal merge mode derivation unit 302 described later, which is performed in coded block units, are further executed. The processing of the merge candidate replenishment unit 346 after the derivation unit 345 can be omitted, and the processing amount can be reduced.

Here, the value of the motion vector is set to a small value such as (0, 0) or (1, 0), but the value of the motion vector may be increased as long as the historical prediction motion vector candidates do not overlap.

Also, the history prediction motion vector index (number of history prediction motion vector candidates NumHmvpC
Starting from and-1), the reference index refIdxLX (X is 0 or 1) is set to a value incremented by 1 from 0 to (number of reference pictures numRefIdx-1), but the historical prediction motion vector index is set to 0. You may start from.

FIG. 42 is a table showing another example of the historical prediction motion vector candidates added by the initialization of the historical prediction motion vector candidate list HmvpCandList.

An example is shown when the slice type is B slice. In this example, inter-prediction information with a reference index of 0 and different motion vector values is added as a history prediction motion vector candidate so that each element of the history prediction motion vector candidate list HmvpCandList does not overlap with each other. Then, the history prediction motion vector candidate list is filled. At this time, the history prediction motion vector index is started from (the number of history prediction motion vector candidates NuMHmvpCand-1), and the reference index refIdxLX (X is 0 or 1) is set to 0. Number of historically predicted motion vector candidates Set all values in NumHmvpCand, and the number of historically predicted motion vector candidates NumHmvpCa
By setting the value of nd to a fixed value, invalid historical prediction motion vector candidates are eliminated.

In this way, by setting the reference index to 0, the initialization can be performed without considering the number of reference pictures, so that the processing can be simplified.

Here, the value of the motion vector is set to a multiple of 2, but other values may be used as long as the reference index is 0 and the historical prediction motion vector candidates do not overlap with each other.

Also, the history prediction motion vector index (number of history prediction motion vector candidates NumHmvpC
Starting from and-1), the reference index refIdxLX (X is 0 or 1) is set to a value incremented by 1 from 0 to (number of reference pictures numRefIdx-1), but the historical prediction motion vector index is set to 0. You may start from.

Then, for each coded block in the slice, the following history prediction motion vector candidate list Hmvp
The CandList update process is repeated (steps S2102 to S2107 in FIG. 26).

First, the initial setting is performed for each coded block. A FALSE (false) value is set in the flag identicalCandExist indicating whether or not the same candidate exists, and 0 is set in the removal target index removeIdx indicating the deletion target candidate (step S2103 in FIG. 26).

It is determined whether or not the inter-prediction information candidate hMvpCand to be registered exists (step S2104 in FIG. 26). When the prediction method determination unit 105 on the coding side determines the normal predicted motion vector mode or the normal merge mode, or when the bit string decoding unit 201 on the decoding side decodes the decoding as the normal predicted motion vector mode or the normal merge mode, the mode is determined. Let the inter-prediction information be the inter-prediction information candidate hMvpCand to be registered. Prediction method determination unit 105 on the coding side
When it is determined in the intra prediction mode, the subblock prediction motion vector mode or the subblock merge mode, or the intra prediction mode in the bit string decoding unit 201 on the decoding side,
When decoded in the sub-block prediction motion vector mode or the sub-block merge mode, the history prediction motion vector candidate list HmvpCandList is not updated, and the inter-prediction information candidate hMvpCand to be registered does not exist. If the inter-prediction information candidate hMvpCand to be registered does not exist, steps S2105 to S2106 are skipped (step S in FIG. 26).
2104: NO). If the inter-prediction information candidate hMvpCand to be registered exists, the process of step S2105 or less is performed (step S2104: YES in FIG. 26).

Here, in the present embodiment, when encoded / decoded as the normal predicted motion vector mode, the inter-predicted mode is set to hMvpCand and the historical predicted motion vector candidate list HmvpCand.
When the List is updated and encoded / decoded in the normal merge mode, the history prediction motion vector candidate list HmvpCandList is not updated. Step S2104 of FIG. 26 is a step S2404 and a step S240 of the flowchart of FIG. 43.
The determination process may be separated as in 5. In step S2404, if it is not in the normal merge mode, the process proceeds to step S2405, and if it is in the normal merge mode, the process proceeds to step S2408.

In step S2405 of FIG. 43, when the prediction method determination unit 105 on the coding side determines the normal predicted motion vector mode, or when the bit string decoding unit on the decoding side decodes the normal predicted motion vector mode, the inter-prediction is performed. Set the mode to hMvpCand. When the prediction method determination unit 105 on the coding side determines the intra prediction mode, subblock prediction motion vector mode or subblock merge mode, or the bit string decoding unit on the decoding side determines the intra prediction mode, subblock prediction motion vector mode or When decoded as a subblock merge mode, the history prediction motion vector candidate list HmvpCandList is not updated and is not updated.
There is no inter-prediction information candidate hMvpCand to be registered. If the inter-prediction information candidate hMvpCand to be registered does not exist, the process proceeds to step S2408. If the inter-prediction information candidate hMvpCand to be registered exists, the process of step S2406 or less is performed. From step S2101 to step S2103 in FIG. 26, and from step S2401 to step S in FIG. 43.
Up to 2403, the same processing may be performed, so the description thereof will be omitted. Step S21 of FIG. 26
From 05 to step S2107, and from step S2406 to step S240 in FIG. 43.
Up to 8, the same processing may be performed, so the description thereof will be omitted.

In this way, by updating the history prediction motion vector candidate list only when it is encoded / decoded as the normal prediction motion vector mode, the motion information in the history prediction motion vector candidate list can be compared with the existing candidates. There is no need to do this, and the processing load is reduced. In the normal predicted motion vector mode, the differential motion vector is added to generate new motion information that is not in the peripheral block, so the existing historical predicted motion vector candidates and motion information can be obtained without comparing the motion information. The possibility of duplication is low.

Returning to the description after step S2104 in FIG. 26.

Next, it is determined whether or not an element having the same value as the registration target inter-prediction information candidate hMvpCand (inter-prediction information), that is, the same element exists in each element of the historical prediction motion vector candidate list HmvpCandList (Fig.). 26 steps S2105). FIG. 27 is a flowchart of the same element confirmation processing procedure. Number of historical prediction motion vector candidates NuMHmvpCand value is 0
(Step S2121: NO in FIG. 27), history prediction motion vector candidate list HmvpCa
Since ndList is empty and the same candidate does not exist, steps S2122 to S2125 in FIG. 27 are skipped, and the same element confirmation processing procedure ends. Number of historical prediction motion vector candidates NumHmvpC
When the value of and is larger than 0 (YES in step S2121 in FIG. 27), the process of step S2123 is repeated from 0 to NuMHmvpCand-1 in the history prediction motion vector index hMvpIdx (steps S2122 to S2125 in FIG. 27). First, the hMvpIdxth element HmvpCandList [hMvpIdx] counting from 0 in the historical prediction motion vector candidate list is the inter-prediction information candidate hM.
Compare whether they are the same as vpCand (step S2123 in FIG. 27). If they are the same (step S2123: YES in FIG. 27), the flag identicalCandE indicating whether or not the same candidate exists.
Set xist to a TRUE value and delete target index remo to indicate the position of the element to be deleted
Set the value of the current history prediction motion vector index hMvpIdx in veIdx, and end this same element confirmation process. If they are not the same (step S2123: NO in FIG. 27), hMvpIdx is incremented by 1, and if the history prediction motion vector index hMvpIdx is NumHmvpCand-1 or less, the processing after step S2123 is performed.

Here, by filling the history prediction motion vector candidate list with the history prediction motion vector candidates, step S2121 in FIG. 27 can be omitted.

Returning to the flowchart of FIG. 26 again, the elements of the historical prediction motion vector candidate list HmvpCandList are shifted and added (step S2106 of FIG. 26). FIG. 28 is a flowchart of the element shift / addition processing procedure of the history prediction motion vector candidate list HmvpCandList in step S2106 of FIG. First, it is determined whether to add a new element after removing the element stored in the history prediction motion vector candidate list HmvpCandList, or to add a new element without removing the element. Specifically, a flag identicalCandE indicating whether or not the same candidate exists.
Compare whether xist has TRUE (true) or NumHmvpCand of 6 (step S2141 in FIG. 28).
). When the flag indicating whether or not the same candidate exists, TRUE (true) in the electricalCandExist, or when the current number of candidates, NuMHmvpCand, satisfies either of 6 (step S2141 in FIG. 28).
YES), remove the elements stored in the historical prediction motion vector candidate list HmvpCandList, and then add a new element. Set the initial value of index i to the value of removeIdx + 1. The element shift process of step S2143 is repeated from this initial value to NumHmvpCand. (Steps S2142 to S2144 in FIG. 28). HmvpCandList [i -1] to HmvpCandList [i]
By copying the element of, the element is shifted forward (step S2143 in FIG. 28), and i is incremented by 1 (steps S2142 to S2144 in FIG. 28). Then, counting from 0 corresponding to the end of the historical prediction motion vector candidate list (NumHmvpCand-1) th HmvpCandLis
Add the inter-prediction information candidate hMvpCand to t [NumHmvpCand-1] (step S214 in FIG. 28).
5) Finish the element shift / addition process of this history prediction motion vector candidate list HmvpCandList. On the other hand, when TRUE (true) and NumHmvpCand do not satisfy any of the conditions 6 in the flag identicalCandExist indicating whether or not the same candidate exists (step S2141: NO in FIG. 28).
), Add the inter-prediction information candidate hMvpCand to the end of the history prediction motion vector candidate list without removing the elements stored in the history prediction motion vector candidate list HmvpCandList (Fig. 2).
Step S2146 of step 8). Here, the end of the history prediction motion vector candidate list is the HmvpCandList [NumHmvpCand] which is the NumHmvpCand th from 0. Also, NumHmvpCand is 1
Increment and end the element shift and addition processing of this history prediction motion vector candidate list HmvpCandList.

Here, the historical predicted motion vector candidate list is applied to both the predicted motion vector mode and the merge mode, but it may be applied to only one of them.

FIG. 31 is a diagram illustrating an example of the update process of the history prediction motion vector candidate list. History prediction motion vector candidate list with 6 elements (inter prediction information) registered HmvpCandList
When adding a new element to the history prediction motion vector candidate list HmvpCandList, the new element is compared with the new inter-prediction information in order from the front element of the history prediction motion vector candidate list HmvpCandList (Fig. 31A). If the value is the same as the third element HMVP2, delete the element HMVP2 from the historical prediction motion vector candidate list HmvpCandList and the rear elements HMVP3 to HM.
Shift (copy) VP5 forward one by one, history prediction motion vector candidate list HmvpCandLis
Add a new element at the end of t (Fig. 31B), history prediction motion vector candidate list HmvpCan
The update of dList is completed (Fig. 31C).

<History prediction motion vector candidate derivation process>
Next, in common processing in the history prediction motion vector candidate derivation unit 323 of the normal prediction motion vector mode derivation unit 301 on the coding side and the history prediction motion vector candidate derivation unit 423 of the normal prediction motion vector mode derivation unit 401 on the decoding side. A method of deriving the history prediction motion vector candidate from the history prediction motion vector candidate list HmvpCandList, which is the processing procedure of step S304 in FIG. 20, will be described in detail. FIG. 29 is a flowchart illustrating a history prediction motion vector candidate derivation processing procedure.

Current number of predicted motion vector candidates numCurrMvpCand is the predicted motion vector candidate list mvpLis
The number of tLX maximum element number (here, 2) or more or the number of historical prediction motion vector candidates is NumHm
When the value of vpCand is 0 (NO in step S2201 in FIG. 29), step S22 in FIG. 29.
The processing of S2209 is omitted from 02, and the history prediction motion vector candidate derivation processing procedure is terminated. Current number of predicted motion vector candidates numCurrMvpCand is the predicted motion vector candidate list mvpLis
If it is smaller than 2, which is the maximum number of elements of tLX, and the number of historical prediction motion vector candidates NumHmvpCa
When the value of nd is larger than 0 (YES in step S2201 in FIG. 29), the processes of steps S2202 to S2209 in FIG. 29 are performed.

Next, the index i is 1 to 4, and the number of historical prediction motion vector candidates is numCheckedHMVP.
The process of steps S2203 to S2208 of FIG. 29 is repeated until the smaller value of Cand is reached (steps S2202 to S2209 of FIG. 29). Number of current predicted motion vector candidates nu
When mCurrMvpCand is 2 or more, which is the maximum number of elements of the predicted motion vector candidate list mvpListLX (step S2203: NO in FIG. 29), the processing of steps S2204 to S2209 in FIG. To finish. If the current number of predicted motion vector candidates numCurrMvpCand is less than 2, which is the maximum number of elements in the predicted motion vector candidate list mvpListLX (step S2203: YES in FIG. 29), step S2 in FIG.
The process after 204 is performed.

Subsequently, the processes from steps S2205 to S2207 are performed for each of 0 and 1 (L0 and L1) in Y (steps S2204 to S2208 in FIG. 29). If the current number of predicted motion vector candidates numCurrMvpCand is 2 or more, which is the maximum number of elements in the predicted motion vector candidate list mvpListLX (step S2205: NO in FIG. 29), the processing of steps S2206 to S2209 in FIG. 29 is omitted. The history prediction motion vector candidate derivation processing procedure ends. Current number of predicted motion vector candidates numCurrMvpCand is the predicted motion vector candidate list mvpListLX
If it is smaller than 2, which is the maximum number of elements of (step S2205: YES in FIG. 29), FIG. 29
The processing after step S2206 of the above is performed.

Next, in the historical predicted motion vector candidate list HmvpCandList, the element has the same reference index as the reference index refIdxLX of the encoded / decoded motion vector, and is different from any element of the predicted motion vector list mvpListLX (FIG. 29). Step S2206
: YES), numCurrMvpCand th element mvpL counting from 0 in the predicted motion vector candidate list
LY of history prediction motion vector candidate HmvpCandList [NumHmvpCand --i] in istLX [numCurrMvpCand]
The motion vector of (step S2207 in FIG. 29) is added, and the number of current predicted motion vector candidates numCurrMvpCand is incremented by 1. Historical prediction motion vector candidate list HmvpCand
If there is no element in the List that has the same reference index as the reference index refIdxLX of the motion vector to be encoded / decoded and is different from any element of the predicted motion vector list mvpListLX (step S2206: NO in FIG. 29), step. The additional processing of S2207 is skipped.

Here, in the normal predicted motion vector mode, the historical predicted motion vector candidate list HmvpCandLi
Update st, and in normal merge mode, history prediction motion vector candidate list HmvpCandLi
When it is configured not to perform the update process of st, as shown in FIG. 44, step S of FIG. 29
The configuration may be such that the determination process of the same candidate, which is the process of 2206, is not performed. This is because the history prediction motion vector candidate list HmvpCandList is not updated in the normal merge mode, so that the same or highly correlated candidates are less likely to be included.

With such a configuration, it is not necessary to perform the determination processing of the same candidate, so that the processing amount can be suppressed.

The processes of steps S2205 to S2207 of FIG. 29 are performed at both L0 and L1 (steps S2204 to S2208 of FIG. 29). If the index i is incremented by 1 and the index i is 4 and the number of historical prediction motion vector candidates, NuMHmvpCand, whichever is smaller or less, the processing of step S2203 and subsequent steps is performed again (steps S2202 to FIG. 29).
S2209).

<History merge candidate derivation process>
Next, the process of step S404 in FIG. 21, which is a process common to the history merge candidate derivation unit 345 of the normal merge mode derivation unit 302 on the coding side and the history merge candidate derivation unit 445 of the normal merge mode derivation unit 402 on the decoding side. The procedure for deriving the history merge candidate from the history merge candidate list HmvpCandList will be described in detail. FIG. 30 is a flowchart illustrating a history merge candidate derivation processing procedure.

First, an initialization process is performed (step S2301 in FIG. 30). isPruned [i] from 0 to (numCu
rrMergeCand -1) Set the value of FALSE to each element of the th th element, and set the variable numOrigMergeCand to the number of elements registered in the current merge candidate list numCurrMergeCand.

Subsequently, the initial value of the index hMvpIdx is set to 1, and the additional processing from step S2303 to step S2310 in FIG. 30 is repeated from this initial value to NuMHmvpCand (FIG. 3).
Steps S2302 to S2311 of 0). If the number of elements registered in the current merge candidate list numCurrMergeCand is not less than or equal to (maximum number of merge candidates MaxNumMergeCand-1), merge candidates have been added to all elements in the merge candidate list. The process is terminated (NO in step S2303 in FIG. 30). If the number of elements registered in the current merge candidate list numCurrMergeCand is (maximum number of merge candidates MaxNumMergeCand-1) or less, the processing after step S2304 is performed. Set the sameMotion to a FALSE value (Fig. 30)
Step S2304). Then, set the initial value of index i to 0, and from this initial value
The processes of steps S2306 and S2307 of FIG. 30 are performed up to numOrigMergeCand-1 (FIG. 30).
S2305 to S2308). Counting from 0 in the historical motion vector prediction candidate list (NumHmvp
Cand --hMvpIdx) Compare whether the th element HmvpCandList [NumHmvpCand- hMvpIdx] has the same value as the i-th element mergeCandList [i] counting from 0 in the merge candidate list (step S2306 in FIG. 30).

The same value of the merge candidate means that the merge candidate has the same value when the values of all the components (inter-prediction mode, reference index, motion vector) of the merge candidate are the same. When the merge candidates have the same value and isPruned [i] is FALSE (YES in step S2306 of FIG. 30).
Set TRUE (true) for both sameMotion and isPruned [i] (step S2307 in FIG. 30).
). If the values are not the same (NO in step S2306 of FIG. 30), the process of step S2307 is skipped. After the iterative processing from step S2305 to step S2308 in FIG. 30 is completed, it is compared whether or not sameMotion is FALSE (false) (step S230 in FIG. 30).
9) When sameMotion is FALSE (YES in step S2309 in FIG. 30), that is, the (NumHmvpCand --hMvpIdx) th element HmvpCandList [NumHmvpCand --hMvpIdx] counted from 0 in the historical prediction motion vector candidate list becomes mergeCandList. Since it does not exist, the numCurrMergeCand th mergeCandList [numCurrMergeCand] in the merge candidate list counts from 0 in the historical prediction motion vector candidate list (NumHmvpCand --hMvpIdx) th element HmvpCandList [NumHmv
pCand --hMvpIdx] is added, and numCurrMergeCand is incremented by 1 (step S2310 in FIG. 30). The index hMvpIdx is incremented by 1 (step S23 in FIG. 30).
02) Repeat the process of steps S2302 to S2311 of FIG. 30.

When the confirmation of all the elements in the history prediction motion vector candidate list is completed or the merge candidate is added to all the elements in the merge candidate list, the derivation process of this history merge candidate is completed.

<Motion compensation prediction processing>
The motion compensation prediction unit 306 acquires the position and size of the block currently subject to the prediction processing in coding. Further, the motion compensation prediction unit 306 acquires the inter-prediction information from the inter-prediction mode determination unit 305. The reference index and motion vector are derived from the acquired inter-prediction information, and the reference picture specified by the reference index in the decoded image memory 104 is moved from the same position as the image signal of the prediction block by the motion vector. After acquiring the image signal, the prediction signal is generated.

When the inter-prediction mode in inter-prediction is prediction from a single reference picture such as L0 prediction or L1 prediction, the prediction signal acquired from one reference picture is used as the motion compensation prediction signal, and the inter-prediction mode is BI. When the prediction mode is prediction from two reference pictures such as prediction, the weighted average of the prediction signals acquired from the two reference pictures is used as the motion compensation prediction signal, and the motion compensation prediction signal is used to determine the prediction method. Supply to unit 105. Here, the ratio of the weighted averages of the biprediction is 1: 1, but weighted averages may be performed using other ratios. For example, the weighting ratio may be increased as the distance between the picture to be predicted and the reference picture is closer. Further, the weighting ratio may be calculated using a correspondence table between the combination of picture intervals and the weighting ratio.

The motion compensation prediction unit 406 has the same function as the motion compensation prediction unit 306 on the coding side. The motion compensation prediction unit 406 obtains inter-prediction information from the normal prediction motion vector mode derivation unit 401,
It is acquired from the normal merge mode derivation unit 402, the subblock prediction motion vector mode derivation unit 403, and the subblock merge mode derivation unit 404 via the switch 408. The motion compensation prediction unit 406 supplies the obtained motion compensation prediction signal to the decoded image signal superimposition unit 207.

<About inter-prediction mode>
The process of making a prediction from a single reference picture is defined as a simple prediction, and in the case of a single prediction, one of the two reference pictures registered in the reference lists L0 and L1, which is L0 prediction or L1 prediction, is used. Make a prediction.

FIG. 32 shows a case where the reference picture (RefL0Pic) of L0 is at a time before the processing target picture (CurPic) in a simple prediction. FIG. 33 shows a case where the reference picture of the L0 prediction is at a time after the processing target picture in the simple prediction. Similarly, the reference picture for the L0 prediction in FIGS. 32 and 33 is referred to as the reference picture for the L1 prediction (RefL1Pi).
It is also possible to make a simple prediction by replacing it with c).

The process of making a prediction from two reference pictures is defined as bi-prediction, and in the case of bi-prediction, both L0 prediction and L1 prediction are used and expressed as BI prediction. FIG. 34 shows a case where the reference picture of the L0 prediction is at a time before the processing target picture and the reference picture of the L1 prediction is at a time after the processing target picture in the bi-prediction. FIG. 35 shows a case where the reference picture of the L0 prediction and the reference picture of the L1 prediction are at the time before the picture to be processed in the bi-prediction. FIG. 36 shows a case where the reference picture of the L0 prediction and the reference picture of the L1 prediction are at a time after the processing target picture in the bi-prediction.

As described above, the relationship between the prediction type of L0 / L1 and the time can be used without limiting L0 to the past direction and L1 to the future direction. Further, in the case of bi-prediction, L0 prediction and L1 prediction may be performed using the same reference picture. It should be noted that the determination of whether the motion compensation prediction is performed by single prediction or double prediction is determined based on, for example, information (for example, a flag) indicating whether or not to use L0 prediction and whether or not to use L1 prediction. To.

<About the reference index>
In the embodiment of the present invention, in order to improve the accuracy of motion compensation prediction, it is possible to select the optimum reference picture from a plurality of reference pictures in motion compensation prediction. for that reason,
The reference picture used in the motion compensation prediction is used as the reference index, and the reference index is encoded in the bitstream together with the differential motion vector.

<Motion compensation processing based on normal predicted motion vector mode>
As shown in the inter-prediction unit 102 on the coding side of FIG. 16, the motion compensation prediction unit 306 is used when the inter-prediction information by the normal prediction motion vector mode derivation unit 301 is selected in the inter-prediction mode determination unit 305. Acquires this inter-prediction information from the inter-prediction mode determination unit 305, derives the inter-prediction mode, reference index, and motion vector of the block currently being processed, and generates a motion compensation prediction signal. The generated motion compensation prediction signal is supplied to the prediction method determination unit 105.

Similarly, in the motion compensation prediction unit 406, as shown by the inter-prediction unit 203 on the decoding side of FIG. 22, the switch 408 sets the normal prediction motion vector mode derivation unit 40 in the decoding process.
When connected to 1, the inter-prediction information by the normal prediction motion vector mode derivation unit 401 is acquired, the inter-prediction mode, reference index, and motion vector of the block currently being processed are derived, and the motion compensation prediction is performed. Generate a signal. The generated motion compensation prediction signal is supplied to the decoded image signal superimposing unit 207.

<Motion compensation processing based on normal merge mode>
As shown in the inter-prediction unit 102 on the coding side of FIG. 16, the motion compensation prediction unit 306 is used when the inter-prediction information by the normal merge mode derivation unit 302 is selected in the inter-prediction mode determination unit 305. This inter-prediction information is acquired from the inter-prediction mode determination unit 305, and the inter-prediction mode of the block currently being processed,
The reference index and motion vector are derived, and the motion compensation prediction signal is generated. The generated motion compensation prediction signal is supplied to the prediction method determination unit 105.

Similarly, the motion compensation prediction unit 406 is in the normal merge mode when the switch 408 is connected to the normal merge mode derivation unit 402 in the process of decoding, as shown by the inter prediction unit 203 on the decoding side of FIG. The inter-prediction information by the derivation unit 402 is acquired, the inter-prediction mode, the reference index, and the motion vector of the block currently being processed are derived, and the motion compensation prediction signal is generated. The generated motion compensation prediction signal is supplied to the decoded image signal superimposing unit 207.

<Motion compensation processing based on subblock prediction motion vector mode>
As shown in the inter-prediction unit 102 on the coding side of FIG. 16, the motion compensation prediction unit 306 is the case where the inter-prediction information by the sub-block prediction motion vector mode derivation unit 303 is selected in the inter-prediction mode determination unit 305. The inter-prediction information is acquired from the inter-prediction mode determination unit 305, the inter-prediction mode, the reference index, and the motion vector of the block currently being processed are derived, and the motion compensation prediction signal is generated. The generated motion compensation prediction signal is supplied to the prediction method determination unit 105.

Similarly, the motion compensation prediction unit 406 is shown in the inter-prediction unit 203 on the decoding side of FIG. 22 when the switch 408 is connected to the subblock prediction motion vector mode derivation unit 403 in the process of decoding. The inter-prediction information by the sub-block prediction motion vector mode derivation unit 403 is acquired, the inter-prediction mode, the reference index, and the motion vector of the block currently being processed are derived, and the motion compensation prediction signal is generated. The generated motion compensation prediction signal is supplied to the decoded image signal superimposing unit 207.

<Motion compensation processing based on subblock merge mode>
As shown in the inter-prediction unit 102 on the coding side of FIG. 16, the motion compensation prediction unit 306 is used when the inter-prediction information by the sub-block merge mode derivation unit 304 is selected in the inter-prediction mode determination unit 305. , This inter-prediction information is acquired from the inter-prediction mode determination unit 305, the inter-prediction mode, the reference index, and the motion vector of the block currently being processed are derived, and the motion compensation prediction signal is generated. The generated motion compensation prediction signal is supplied to the prediction method determination unit 105.

Similarly, in the motion compensation prediction unit 406, as shown by the inter-prediction unit 203 on the decoding side of FIG. 22, the switch 408 sets the subblock merge mode derivation unit 404 in the decoding process.
When connected to, the inter-prediction information by the sub-block merge mode derivation unit 404 is acquired, the inter-prediction mode, reference index, and motion vector of the block currently being processed are derived, and the motion compensation prediction signal is obtained. Generate. The generated motion compensation prediction signal is supplied to the decoded image signal superimposing unit 207.

<Motion compensation processing based on affine transformation prediction>
In the normal predicted motion vector mode and the normal merge mode, motion compensation by the affine model can be used based on the following flags. The following flags are reflected in the following flags based on the inter-prediction conditions determined by the inter-prediction mode determination unit 305 in the coding process, and are encoded in the bit stream. In the decoding process, it is specified whether or not motion compensation by the affine model is performed based on the following flags in the bit stream.

sps_affine_enabled_flag indicates whether or not motion compensation by the affine model can be used in inter-prediction. If sps_affine_enabled_flag is 0, it is suppressed so that it is not motion compensation by the affine model in sequence units. Also, with inter_affine_flag
The cu_affine_type_flag is not transmitted in the CU (coded block) syntax of the coded video sequence. If sps_affine_enabled_flag is 1, motion compensation by the affine model can be used in the coded video sequence.

sps_affine_type_flag indicates whether motion compensation by the 6-parameter affine model can be used in inter-prediction. If sps_affine_type_flag is 0, it is suppressed so that it is not motion compensation by the 6-parameter affine model. Also, cu_affine_type_flag
Is not transmitted in the CU syntax of the encoded video sequence. sps_affine_typ
If e_flag is 1, motion compensation with a 6-parameter affine model can be used in the coded video sequence. If sps_affine_type_flag does not exist, it shall be 0.

If the P or B slice is being decrypted, inte in the CU currently being processed
If r_affine_flag is 1, motion compensation by the affine model is used to generate the motion compensation prediction signal of the CU currently being processed. If inter_affine_flag is 0, the affine model is not used for the CU currently being processed. inter_affine_f
If lag does not exist, it shall be 0.

If the P or B slice is being decrypted, cu_a in the CU currently being processed
If ffine_type_flag is 1, motion compensation by the 6-parameter affine model is used to generate motion compensation prediction signals for the CU currently being processed. cu_affine_typ
If e_flag is 0, motion compensation by the 4-parameter affine model is used to generate the motion compensation prediction signal of the CU currently being processed.

In motion compensation by the affine model, since the reference index and motion vector are derived in subblock units, the motion compensation prediction signal is generated using the reference index and motion vector to be processed in subblock units.

The four-parameter affine model is a mode in which the motion vector of a subblock is derived from the four parameters of the horizontal component and the vertical component of the motion vector of each of the two control points, and the motion is compensated for each subblock.

According to the first embodiment described above, in the history prediction motion vector candidate derivation process, the process is branched between the case of the normal prediction motion vector mode and the case of the normal merge mode, and in the case of the normal merge mode. By not performing the update processing of the history prediction motion vector candidate list HmvpCandList, the processing amount required for the update processing can be reduced. Furthermore, by not updating the history prediction motion vector candidate list HmvpCandList in the normal merge mode, it is possible to suppress the addition of the same or highly correlated candidates to the history prediction motion vector candidate list HmvpCandList. In the derivation process, it is not necessary to perform the determination process of the same candidate, so that the processing amount can be further suppressed.

A plurality of embodiments described above may be combined.

In all the embodiments described above, the bitstream output by the image coding apparatus has a specific data format so that it can be decoded according to the coding method used in the embodiments. There is. Also, the image decoding device corresponding to this image coding device can decode the bitstream of this particular data format.

When a wired or wireless network is used to exchange a bitstream between an image encoding device and an image decoding device, the bitstream may be converted and transmitted in a data format suitable for the transmission form of the communication path. good. In that case, a transmission device that converts the bitstream output by the image coding device into coded data in a data format suitable for the transmission mode of the communication path and sends it to the network, and a transmission device that receives the coded data from the network and sends the bitstream. A receiving device that is restored to and supplied to the image decoding device is provided. The transmission device includes a memory for buffering a bitstream output by the image coding device, a packet processing unit for packetizing the bitstream, and a transmission unit for transmitting the encoded data packetized via the network. The receiving device receives the encoded data packetized via the network, a memory for buffering the received encoded data, and packet-processes the encoded data to generate a bit stream for image decoding. Includes a packet processing unit provided to the device.

Further, the display device may be used by adding a display unit for displaying the image decoded by the image decoding device to the configuration. In that case, the display unit reads out the decoded image signal generated by the decoded image signal superimposing unit 207 and stored in the decoded image memory 208 and displays it on the screen.

Further, by adding an image pickup unit to the configuration and inputting the captured image to the image coding device, the image pickup device may be used. In that case, the image pickup unit inputs the captured image signal to the block division unit 101.

FIG. 37 shows an example of the hardware configuration of the coding / decoding device of the present embodiment. The coding / decoding device includes the configuration of the image coding device and the image decoding device according to the embodiment of the present invention. The coding / decoding device 9000 is a CPU 9001, a codec IC 9002, and an I /.
It has an O interface 9003, a memory 9004, an optical disk drive 9005, a network interface 9006, and a video interface 9009, and each part is connected by a bus 9010.

The image coding unit 9007 and the image decoding unit 9008 are typically implemented as a codec IC9002. The image coding process of the image coding device according to the embodiment of the present invention is executed by the image coding unit 9007, and the image decoding process in the image decoding device according to the embodiment of the present invention is performed by the image decoding unit 9008. Will be executed. The I / O interface 9003 is
For example, it is realized by a USB interface, an external keyboard 9104, a mouse 91.
Connect with 05 etc. The CPU 9001 is a coding / decoding device 90 so as to execute a user's desired operation based on a user operation input via the I / O interface 9003.
Control 00. User operations using the keyboard 9104, mouse 9105, and the like include selection of whether to execute a coding or decoding function, setting of coding quality, bitstream input / output destination, image input / output destination, and the like.

When the user desires an operation of playing back an image recorded on the disc recording medium 9100, the optical disc drive 9005 reads a bit stream from the inserted disc recording medium 9100 and reads the read bit stream via the bus 9010. Codec I
It is sent to the image decoding unit 9008 of C9002. The image decoding unit 9008 executes the image decoding process in the image decoding device according to the embodiment of the present invention on the input bit stream, and sends the decoded image to the external monitor 9103 via the video interface 9009. again,
The coding / decoding device 9000 has a network interface 9006, and can be connected to an external distribution server 9106 or a mobile terminal 9107 via the network 9101. The user changes the image recorded on the disk recording medium 9100 to the distribution server 9106.
If it is desired to reproduce the image recorded on the mobile terminal 9107 or the mobile terminal 9107, the network interface 9006 acquires the bitstream from the network 9101 instead of reading the bitstream from the input disc recording medium 9100. .. again,
If the user wants to play back the image recorded in memory 9004, memory 9
The image decoding process in the image decoding device according to the embodiment of the present invention is executed on the bit stream recorded in 004.

When the user desires an operation of encoding an image captured by an external camera 9102 and recording it in the memory 9004, the video interface 9009 inputs an image from the camera 9102, and the image coding unit 9007 of the codec IC 9002 is input via the bus 9010. Send to. The image coding unit 9007 executes image coding processing in the image coding device according to the embodiment of the present invention on an image input via the video interface 9009 to create a bit stream. Then, the bit stream is sent to the memory 9004 via the bus 9010. If the user desires to record the bitstream on the disc recording medium 9100 instead of the memory 9004, the optical disc drive 9005 writes the bitstream to the inserted disc recording medium 9100.

It is also possible to realize a hardware configuration having an image coding device and no image decoding device, or a hardware configuration having an image decoding device and no image decoding device. Such a hardware configuration is realized, for example, by replacing the codec IC9002 with an image coding unit 9007 or an image decoding unit 9008, respectively.

The above processing related to encoding and decoding may be realized as a transmission, storage, and receiving device using hardware, and is stored in a ROM (read only memory), a flash memory, or the like. It may be realized by firmware or software such as a computer. The firmware program or software program may be recorded on a recording medium readable by a computer or the like and provided, or may be provided from a server via a wired or wireless network, or terrestrial or satellite digital broadcasting data broadcasting. May be provided as.

The present invention has been described above based on the embodiments. It is understood by those skilled in the art that the embodiments are exemplary and that various modifications are possible for each of these components and combinations of processing processes, and that such modifications are also within the scope of the present invention. ..

100 image coding device, 101 block division unit, 102 inter-prediction unit,
103 Intra Prediction Unit, 104 Decoded Image Memory, 105 Prediction Method Determination Unit, 10
6 Residual generation unit, 107 Orthogonal transformation / quantization unit, 108-bit string coding unit, 10
9 Inverse quantization / inverse orthogonal transformation unit, 110 decoded image signal superimposition unit, 111 coded information storage memory, 200 image decoding device, 201 bit string decoding unit, 202 block division unit, 203 inter prediction unit 204 intra prediction unit, 205 code Information storage memory 206 Inverse quantization / inverse orthogonal transformation unit, 207 Decoded image signal superimposition unit, 208
Decoded image memory.

Claims (6)

A motion information history memory that stores the history of multiple motion information,
A predictive motion vector candidate derivation unit that derives predictive motion vector candidates including historical predictive motion vector candidates, and
A sub-block merge candidate derivation unit that derives sub-block merge candidates with different motion information for each sub-block obtained by dividing the coded block into predetermined sizes.
Equipped with
When the predicted motion vector candidate is encoded, the motion information is stored in the motion information history memory, and when the subblock merge candidate is encoded, the motion information is not stored in the motion information history memory. Motion image coding device. A motion information history memory that stores the history of multiple motion information,
Predictive motion vector candidate derivation step for deriving predicted motion vector candidates including historical predicted motion vector candidates, and
A sub-block merge candidate derivation step that derives sub-block merge candidates with different motion information for each sub-block obtained by dividing the coded block into predetermined sizes.
Have,
When the predicted motion vector candidate is encoded, the motion information is stored in the motion information history memory, and when the subblock merge candidate is encoded, the motion information is not stored in the motion information history memory. Motion image coding method. A motion information history memory that stores the history of multiple motion information,
Predictive motion vector candidate derivation step for deriving predicted motion vector candidates including historical predicted motion vector candidates, and
A sub-block merge candidate derivation step that derives sub-block merge candidates with different motion information for each sub-block obtained by dividing the coded block into predetermined sizes.
Let the computer run
When the predicted motion vector candidate is encoded, the motion information is stored in the motion information history memory, and when the subblock merge candidate is encoded, the motion information is not stored in the motion information history memory. Motion image coding program. A motion information history memory that stores the history of multiple motion information,
A predictive motion vector candidate derivation unit that derives predictive motion vector candidates including historical predictive motion vector candidates, and
A sub-block merge candidate derivation unit that derives sub-block merge candidates with different motion information for each sub-block obtained by dividing the decrypted block into predetermined sizes.
Equipped with
When the predicted motion vector candidate is decoded, the motion information is stored in the motion information history memory, and when the subblock merge candidate is decoded, the motion information is not stored in the motion information history memory. Motion vector decoder. A motion information history memory that stores the history of multiple motion information,
Predictive motion vector candidate derivation step for deriving predicted motion vector candidates including historical predicted motion vector candidates, and
A sub-block merge candidate derivation step that derives sub-block merge candidates with different motion information for each sub-block obtained by dividing the decrypted block into predetermined sizes.
Have,
When the predicted motion vector candidate is decoded, the motion information is stored in the motion information history memory, and when the subblock merge candidate is decoded, the motion information is not stored in the motion information history memory. Motion vector decoding method. A motion information history memory that stores the history of multiple motion information,
Predictive motion vector candidate derivation step for deriving predicted motion vector candidates including historical predicted motion vector candidates, and
A predictive motion vector candidate derivation step for deriving a predictive motion vector candidate including a historical predictive motion vector candidate from a memory that holds motion information of the decoded block, and a step for deriving the predictive motion vector candidate.
Let the computer run
When the predicted motion vector candidate is decoded, the motion information is stored in the motion information history memory, and when the subblock merge candidate is decoded, the motion information is not stored in the motion information history memory. Motion vector decoding program.

Images