Kddi Corporation

Kddi R&d Laboratories, Inc.

Kdd Corporation

Ddi Corp.

Kiddi Corporation

Sei Naito

Kei Kawamura

Kyohei Unno

Yoshitaka Kidani

Atsushi Koike

Shuichi Matsumoto

Tomonobu Yoshino

Shigeyuki Sakazawa

Ryoichi Kawada

Haruhisa Kato

Atsushi Matsumura

Osamu Sugimoto

Mehrdad Panahpour Tehrani

Hiroshi Sankoh

Cui Wang

Qiang Yao

An image decoding device includes: a prediction signal generation unit configured to determine whether or not an application condition of Bi-Directional Optical Flow (BDOF) processing is satisfied for each block, generate a prediction signal by executing the BDOF processing in a case where it is determined that the application condition is satisfied, and set the application condition based on a weight coefficient in a case where calculation is performed using pixel values of two reference frames or values calculated from the pixel values in the BDOF processing such that the application condition includes a condition on time distances between the two reference frames and a target frame.

Image decoding device, image decoding method, and program

An image decoding device includes: a prediction signal generation unit that generates a prediction signal by intra prediction, wherein in a block to which intra sub-partitions are applied, the prediction signal generation unit refers to a pixel of a decoded block adjacent to the block when generating prediction signals of all sub-blocks in the block.

An image decoding device includes an inverse transform unit configured to generate a prediction residual signal by inverse transform, the inverse transform unit is configured to control a method of decoding a secondary transform index of a target block according to information indicating a position where a non-zero coefficient is generated in the target block.

An image decoding device includes: a motion compensation predictor configured to generate a prediction image signal of a prediction target block based on information about a motion vector in a unit of the block and a reference frame; an overlapped block motion compensator carrying out an overlapped block motion compensation process of correcting the prediction image signal of the prediction target block by subjecting the prediction image signal of the prediction target block and a prediction image signal generated based on information about a motion vector and a reference frame of an adjacent block of the prediction target block to weighted averaging; and a determinator determining whether the overlapped block motion compensation process is applied to the prediction target block or not. The determinator determines application of the overlapped block motion compensation process to the prediction target block, when unidirectional prediction is applied to the adjacent block.

Image decoding device with block motion compensator and determination mechanism

An image decoding device includes a quantization parameter deriving unit configured to correct a value of a decoded quantization parameter of a target block depending on whether or not adaptive color transform has been applied to the target block, and then set, as the quantization parameter of the target block, the larger of the corrected value of the quantization parameter and a predetermined value of '0' or more.

A point-cloud decoding deviceaccording to the present invention includes: a geometry information decoding unitconfigured to decode a flag that controls whether to apply 'Implicit QtBt' or not; and an attribute-information decoding unitconfigured to decode a flag that controls whether to apply “scalable lifting” or not; wherein, a restriction is set not to apply the “scalable lifting” when the “Implicit QtBt” is applied.

Point-cloud decoding device, point-cloud decoding method, and program

An image decoding device, includes a filter unit using, as an input, a decoded signal prior to the filtering process and output a filtered decoded signal. The filter unit performs clipping processing on the decoded signal prior to the filtering process such that the absolute value of a differential value between a reference pixel value and a pixel value of the decoded signal prior to the filtering process is less than or equal to a predefined threshold value, and to generate the filtered decoded signal through the linear weighted addition of the value after the clipping processing is performed and the pixel value of the decoded signal prior to the filtering process; and a large-small relationship between the threshold value for a luma signal and the threshold value for a chroma signal are defined such that the large-small relationship is unchanged when an internal bit depth is changed.

A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains chrominance prediction signal applying the linear prediction model based on the linear prediction parameter to the luminance reference signal. The chrominance prediction and residual signals are summed to generate a reconstructed chrominance signal.

Moving picture decoding device, moving picture decoding method, and program obtaining chrominance values from corresponding luminance values

An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Image decoding device, image encoding device, image processing system, and program

An image decoding device includes: a motion vector decoding unit that decodes a motion vector from encoded data; a refinement unit that performs refinement processing to correct the decoded motion vector; and a predictive signal generation unit that generates a predictive signal on the basis of the corrected motion vector outputted from the refinement unit. The predictive signal generation unit determines whether or not to apply BDOF processing for each block, on the basis of information calculated in the course of the refinement processing.

An image decoding device includes: a decoding unit configured to decode a first flag which is included in a slice header and controls enabling/disabling of PROF processing from encoded data; and an affine prediction signal generation unit configured to perform the PROF processing in a case where the first flag indicates that the PROF processing is enabled in a slice corresponding to the slice header, and generate a prediction signal without performing the PROF processing in a case where the first flag indicates that the PROF processing is disabled in a slice corresponding to the slice header.

Image decoding device, method, and program with prediction refinement optical flow

An image decoding device includes: a motion compensation predictor configured to generate a prediction image signal of a prediction target block based on information about a motion vector in a unit of the block and a reference frame; an overlapped block motion compensator carrying out an overlapped block motion compensation process of correcting the prediction image signal of the prediction target block by subjecting the prediction image signal of the prediction target block and a prediction image signal generated based on information about a motion vector and a reference frame of an adjacent block of the prediction target block to weighted averaging; and a determinater determining whether the overlapped block motion compensation process is applied to the prediction target block or not. The determinater determines application of the overlapped block motion compensation process to the prediction target block, when unidirectional prediction is applied to the adjacent block.

An image decoding device () includes: a prediction signal generation unit (D) configured to determine whether or not an application condition of BDOF processing is satisfied for each block, generate a prediction signal by executing the BDOF processing in a case where it is determined that the application condition is satisfied, and set the application condition based on a weight coefficient in a case where calculation is performed using pixel values of two reference frames or values calculated from the pixel values in the BDOF processing such that the application condition includes a condition on time distances between the two reference frames and a target frame.

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Saitama, Japan

Sei Naito