Abstract: A memory consolidation controller includes: an acquisition unit configured to acquire brain activity information indicating a state of brain activity of a subject; a determination unit configured to determine a sleep level indicating a depth of sleep of the subject and determine an activity state in a predetermined region of the subject's brain based on the acquired brain activity information; and a reproduction control unit configured to cause a reproduction device to reproduce a content that stimulates an auditory sense of the subject based on a determination result of the determination unit.

Abstract: A picture coding device includes: a block vector candidate derivation unit that derives block vector candidates of a target block in a target picture from coding information stored in coding information storage memory; a selector that selects a selected block vector from the block vector candidates; and a reference position correction unit that performs a correction regarding a reference block to be referred to by the selected block vector so that a reference position of the reference block is to be corrected to refer to an inside of a referenceable region, in which a decoded sample in the target picture is acquired from decoded picture memory as a prediction value of the target block based on the reference position of the reference block.

Abstract: A learning data generation apparatus includes an object extraction unit configured to extract an object image from an image; a classification evaluation unit configured to evaluate the object possireimage based on a learned model, and to calculate reliability indicating a degree of posibility that the object image is classified as a candidate label; a classification determination unit configured to, if the reliability is smaller than a first threshold and equal to or larger than a second threshold which is smaller than the first threshold, associate a temporary label different from the candidate label with the object image; and a learning data generation unit configured to generate learning data based on the object image that is associated with the temporary label.

Abstract: Technology for improving coding efficiency by performing a block split suitable for picture coding and decoding is provided. A moving-picture coding device for performing an affine transform in units of coding blocks includes an affine inheritance merging candidate derivation unit configured to derive an affine inheritance merging candidate for inheriting an affine model of blocks neighboring a coding target block in a space domain, an affine construction merging candidate derivation unit configured to derive an affine construction merging candidate from a plurality of motion information elements of blocks neighboring the coding target block in a space or time domain, and an affine fixation merging candidate derivation unit configured to derive an affine fixation merging candidate in which motion information of an affine control point is fixed. A motion vector of each affine control point is fixed to (0, 0) in the affine fixation merging candidate.

Abstract: A prediction information deriving unit derives the inter-prediction information candidates from inter-prediction information of a prediction block neighboring to a coding target prediction block or a prediction block present at the same position as or near the coding target prediction block in a coded picture at a temporally different position from the coding target prediction block. A candidate supplementing unit supplements inter-prediction information candidates having the same prediction mode, reference index, and motion vector until the number of inter-prediction information candidates reaches the designated number of candidates when the number of inter-prediction information candidates is smaller than the designated number of candidates.

Abstract: A motion vector decoding unit derives a motion vector of a prediction block subject to decoding on the basis of a motion vector of a candidate block included in candidate blocks selected from neighboring blocks. The motion compensation prediction unit performs motion compensation prediction using the derived motion vector. In case a motion vector number of a first block and a motion vector number of a second block are identical with each other, the motion vector decoding unit determines whether or not to set the second block as a candidate block in accordance with whether or not a reference index indicating a reference picture that the motion vector of the first block refers to and a reference index indicating a reference picture that the motion vector of the second block refers to are identical with each other.

Abstract: There is provided a technique that includes a triangle merging candidate list constructor structured to construct a triangle merging candidate list including spatial merging candidates, a first triangle merging candidate selector structured to select, from the triangle merging candidate list, a first triangle merging candidate that is uni-prediction, and a second triangle merging candidate selector structured to select, from the triangle merging candidate list, a second triangle merging candidate that is uni-prediction, in which in a region where motion compensation by weighted averaging by the first triangle merging candidate and the second triangle merging candidate is performed, uni-prediction motion information of one of the first triangle merging candidate or the second triangle merging candidate is saved.

Abstract: A normal merge mode derivation unit further includes a merging candidate selector structured to add a merge motion vector difference defined by a direction index indicating a direction and a distance index indicating a distance to a motion vector of a merging candidate list, and select one candidate from the merging candidate list as a selected merging candidate on the basis of a merge index, in which, when the motion vector of the selected merging candidate is smaller than a distance indicated by an arbitrary index of the distance index, the merging candidate selector sets a direction of a merge motion vector difference defined by the distance index indicating a larger distance than the motion vector of the selected merging candidate as a diagonal direction, or changes the distance indicated by the distance index.

Abstract: In order to provide efficient coding technology with a low load, a picture decoding device includes a spatial motion information candidate derivation unit configured to derive a spatial motion information candidate from motion information of a block neighboring a decoding target block in a space domain, a temporal motion information candidate derivation unit configured to derive a temporal motion information candidate from motion information of a block neighboring a decoding target block in a time domain, and a history-based motion information candidate derivation unit configured to derive a history-based motion information candidate from a memory for retaining motion information of a decoded block, wherein the temporal motion information candidate is compared with neither the spatial motion information candidate nor the history-based motion information candidate with respect to the motion information.

Abstract: An initialization rate determination unit determines, in accordance with a depth of a layer in a neural network model, a first initialization rate for initializing weights in the neural network model on a first task. A machine learning execution unit generates a neural network model trained on a first task by training on the first task by machine learning. An initialization unit initializes weights in the neural network model trained on the first task, based on the first initialization rate, to generate an initialized neural network model trained on the first task, the initialized neural network trained on the first task being used in a second task.

Abstract: A domain adaptation data richness determination unit determines, when a first model trained by using training data of a first domain is trained by transfer learning by using training data of a second domain, a domain adaptation data richness based on the number of items of training data of the second domain, the first model being a neural network. A learning layer determining unit determines a layer in the second model, which is a duplicate of the first model, targeted for training, based on the domain adaptation data richness. A transfer learning unit applies transfer learning to the layer in the second model targeted for training, by using the training data of the second domain.

Abstract: A prediction information deriving unit derives the inter-prediction information candidates from inter-prediction information of a prediction block neighboring to a coding target prediction block or a prediction block present at the same position as or near the coding target prediction block in a coded picture at a temporally different position from the coding target prediction block. A candidate supplementing unit supplements inter-prediction information candidates having the same prediction mode, reference index, and motion vector until the number of inter-prediction information candidates reaches the designated number of candidates when the number of inter-prediction information candidates is smaller than the designated number of candidates.

Abstract: A weight storage unit stores weights of a plurality of filters used to detect a feature of a task. A continual learning unit trains the weights of the plurality of filters in response to an input task in continual learning. A filter control unit compares, after a predetermined epoch number has been learned in continual learning, the weight of a filter that has learned the task with the weight of a filter that is learning the task, extracts overlap filters having a similarity in weight equal to or greater than a predetermined threshold value as shared filters shared by tasks, and leaves one of the overlap filters as the shared filter and initializes the weights of filters other than the shared filter.

Abstract: A merge candidate list is generated, a merge candidate is selected from the merge candidate list as a merge candidate, a bitstream is decoded to derive a motion vector difference, and a corrected merge candidate is derived by adding the motion vector difference to a motion vector of the selected merge candidate for a first prediction without scaling and subtracting the motion vector difference from a motion vector of the selected merge candidate for a second prediction without scaling.

Abstract: Technology for improving coding efficiency by performing a block split suitable for picture coding and decoding is provided.

Abstract: A motion vector decoding unit derives a motion vector of a prediction block subject to decoding on the basis of a motion vector of a candidate block included in candidate blocks selected from neighboring blocks. The motion compensation prediction unit performs motion compensation prediction using the derived motion vector. In case a motion vector number of a first block and a motion vector number of a second block are identical with each other, the motion vector decoding unit determines whether or not to set the second block as a candidate block in accordance with whether or not a reference index indicating a reference picture that the motion vector of the first block refers to and a reference index indicating a reference picture that the motion vector of the second block refers to are identical with each other.

Abstract: A weight storage unit stores weights of a plurality of filters used to detect a feature of a task. A continual learning unit trains the weights of the filters in response to an input task in continual learning. A filter processing unit locks, of a plurality of filters that have learned one task, the weights of a proportion of the filters to prevent the proportion of the filters from being used to learn a further task and initializes the weights of other filters to use the other filters to learn a further task. A comparison unit compares the weights of a plurality of filters that have learned two or more tasks, extracts overlap filters having a similarity in weight over a threshold value as shared filters shared by tasks, leaves one of the overlap filters as the shared filter, and initializes the weights of filters other than the shared filter.

Abstract: There is provided a technique that includes a triangle merging candidate list constructor structured to construct a triangle merging candidate list including spatial merging candidates, a first triangle merging candidate selector structured to select, from the triangle merging candidate list, a first triangle merging candidate that is uni-prediction, and a second triangle merging candidate selector structured to select, from the triangle merging candidate list, a second triangle merging candidate that is uni-prediction, in which in a region where motion compensation by weighted averaging by the first triangle merging candidate and the second triangle merging candidate is performed, uni-prediction motion information of one of the first triangle merging candidate or the second triangle merging candidate is saved.

Abstract: In order to provide efficient coding technology with a low load, a picture decoding device includes a spatial motion information candidate derivation unit configured to derive a spatial motion information candidate from motion information of a block neighboring a decoding target block in a space domain, a temporal motion information candidate derivation unit configured to derive a temporal motion information candidate from motion information of a block neighboring a decoding target block in a time domain, and a history-based motion information candidate derivation unit configured to derive a history-based motion information candidate from a memory for retaining motion information of a decoded block, wherein the temporal motion information candidate is compared with neither the spatial motion information candidate nor the history-based motion information candidate with respect to the motion information.

Abstract: A picture coding device, for coding a moving picture using inter prediction based on inter prediction information in units of blocks and forming a bitstream, includes a coding information storage unit configured to store inter prediction information used in the inter prediction of a coded block in a history-based motion vector predictor candidate list, a spatial merging candidate derivation unit configured to derive a spatial merging candidate from inter prediction information of a block spatially neighboring a coding target block and to add the spatial merging candidate to a merging candidate list, and a history-based merging candidate derivation unit configured to derive a history-based merging candidate from the inter prediction information stored in the history-based motion vector predictor candidate list and to add the history-based merging candidate to the merging candidate list.