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.

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

Abstract: A picture coding device for coding a moving picture using inter prediction based on inter prediction information in units of blocks into which each picture of moving pictures is divided and forming a bitstream, the picture coding device includes a coding information storage unit configured to add the inter prediction information used in the inter prediction to a history-based motion vector predictor candidate list in a FIFO scheme, a history-based motion vector predictor candidate derivation unit configured to derive history-based motion vector predictor candidates from the history-based motion vector predictor candidate list and add the history-based motion vector predictor candidates to a motion vector predictor candidate list as a motion vector predictor candidate, and a history-based merging candidate derivation unit configured to derive history-based merging candidates from the history-based motion vector predictor candidate list and add the history-based merging candidates to a merging candidate list as

Abstract: A picture coding device for coding a moving picture using inter prediction based on inter prediction information in units of blocks into which each picture of moving pictures is divided and forming a bitstream, the picture coding device includes a coding information storage unit configured to add the inter prediction information used in the inter prediction to a history-based motion vector predictor candidate list, a spatial motion vector predictor candidate derivation unit configured to derive a spatial motion vector predictor candidate from a block neighboring a target block and add the spatial motion vector predictor candidate to a motion vector predictor candidate list, and a history-based motion vector predictor candidate derivation unit configured to derive history-based motion vector predictor candidates from the history-based motion vector predictor candidate list and add the history-based motion vector predictor candidates to the motion vector predictor candidate list as a motion vector predictor can

Abstract: An object recognition unit recognizes an object in an input image by using an object recognition model. A recognition precision determination unit determines a precision of recognition of the object in the input image. A supervised image conversion unit converts the input image for which the precision of recognition of the object is lower than a predetermined threshold value into a supervised image by labeling the input image based on a feature amount of the input image. A transfer learning unit applies transfer learning to the object recognition model by using the supervised image as training data to update the object recognition model.

Abstract: A domain adaptability determination unit determines a domain adaptability based on a precision of inference from images of a second domain using a first model trained by using images of a first domain as training data, 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 adaptability. A transfer learning execution unit applied transfer learning to the layer in the second model targeted for training, by using images of the second domain as training data.

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: A far-infrared image training data acquisition unit acquires a far-infrared image in a first predetermined time zone. A visible light image training data acquisition unit acquires a visible light image in a second predetermined time zone. A visible light image generation model training unit machine-learns the far-infrared image in the first predetermined time zone and the visible light image in the second predetermined time zone as training data by a generative adversarial network, and generates a trained generation model, which generates the visible light image in the second predetermined time zone from the far-infrared image in the first predetermined time zone. Through machine learning by a generative adversarial network, the visible light image generation model training unit further generates a trained identification model, which identifies whether or not the far-infrared image is a far-infrared image captured in the first predetermined time zone.

Abstract: A far-infrared image acquisition unit acquires a far-infrared image. An image conversion unit converts the acquired far-infrared image into a visible light image. A visible light image trained model storage unit stores a first visible light image trained model having performed learning using the visible light image as training data. A transfer learning unit performs transfer learning on a first visible light image trained model by using the visible light image obtained by conversion as training data to generate a second visible light image trained model.

Abstract: A visible light image generation model learning unit generates a trained visible light image generation model that generates a visible light image in a second time zone from a far-infrared image in a first time zone. The visible light image generation model learning unit includes a first learning unit that machine-learns the far-infrared image in the first time zone and a far-infrared image in the second time zone as teacher data and generates a trained first generation model that generates the far-infrared image in the second time zone from the far-infrared image in the first time zone, and a second learning unit that machine-learns the far-infrared image in the second time zone and the visible light image in the second time zone as teacher data and generates a trained second generation model that generates the visible light image in the second time zone from the far-infrared image in the second time zone.

Abstract: A picture decoding device includes a spatial candidate derivation unit configured to derive a spatial candidate from inter prediction information of a block neighboring a decoding target block and register the derived spatial candidate as a candidate to a first candidate list, a history-based candidate derivation unit configured to generate a second candidate list by adding a history-based candidate included in a history-based candidate list as a candidate to the first candidate list, a candidate selection unit configured to select a selection candidate from candidates included in the second candidate list, and an inter prediction unit configured to perform inter prediction using the selection candidate.

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: In order to provide low-load, efficient coding technology, a moving-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 and a history-based motion information candidate derivation unit configured to derive a history-based motion information candidate from a memory where motion information of a decoded block is retained, wherein the history-based motion information candidate derivation unit preferentially derives old motion information without making a comparison of the motion information with the spatial motion information candidate.

Abstract: Technology for improving coding efficiency by performing a block split suitable for picture coding and decoding is provided. A picture decoding device includes a spatial candidate derivation unit configured to derive a spatial candidate from inter prediction information of a block neighboring a decoding target block and register the derived spatial candidate as a candidate in a first candidate list, a history-based candidate derivation unit configured to generate a second candidate list by adding a history-based candidate included in a history-based candidate list as a candidate to the first candidate list, a candidate selection unit configured to select a selection candidate from candidates included in the second candidate list; and an inter prediction unit configured to perform inter prediction using the selection candidate.

Abstract: A drive recorder according to an embodiment of the present disclosure includes: an imaging unit that is mounted on a vehicle and captures a video of the surroundings of the vehicle; a video recording unit that has, recorded therein, video data captured; a network connecting unit that receives accident information including a time and date when an accident occurred and a place where the accident occurred; and a video retrieving unit that determines whether any video data captured in a predetermined time period and in a predetermined region are available in the video data recorded in the video recording unit, the predetermined time period including the time and date when the accident occurred, the predetermined region including the place where the accident occurred.

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.