Abstract: According to an embodiment, an information processing device includes a detection unit, a cut-out unit, an acquisition unit, and a visual question answering (VQA) processing unit. The detection unit is configured to detect at least one piece of object information including an object area containing an object to be detected and object identification information for identifying the object to be detected, from an image. The cut-out unit is configured to generate at least one object image, by cutting out at least one object area from the image. The acquisition unit is configured to acquire at least one question according to the object identification information. The VQA processing unit is configured to perform a VQA process with the at least one question, for each of the at least one object image.

Abstract: According to one embodiment, an information processing device includes a memory and one or more processors coupled to the memory. The one or more processors are configured to: receive input of a prompt including a first text and an expected value of an answer related to the first text; predict, upon input of the first text and at least one image, the answer for each of the at least one image by using an AI model that outputs the answer; compute accuracy of the answer from the expected value and the answer; and display, on a display device, display information including at least the prompt, the answer, and the accuracy.

Abstract: According to one embodiment, an anomaly detection device includes a feature calculating unit, a first selecting unit, an anomaly degree data calculating unit. The feature calculating unit calculates or refers to a first-type feature of each of plural pieces of training data, and calculates or refers to a second-type feature of target data for detection. The first selecting unit selects, based on first-type attached information corresponding to each of the plural pieces of training data, at least one or more of plural first-type features. The anomaly degree data calculating unit calculates anomaly degree data indicating a degree of anomaly in the target data for detection, using the selected first-type feature and using the second-type feature.

Abstract: According to one embodiment, an information processing method includes acquiring a first question corresponding to an input query, estimating an answer to the first question for each of pieces of content to generate a first answer estimation result including the answer to the first question for each of the pieces of content, and classifying the pieces of content into first groups by using the first answer estimation result and generating a first retrieval result indicating content belonging to each of the first groups.

Abstract: An information processing apparatus according to one embodiment includes one or more hardware processors coupled to a memory. The one or more hardware processors acquires pieces of target data of different types. The one or more hardware processors generates element information for each element included in the pieces of the target data. The element information indicates the corresponding element. The one or more hardware processors links, with each other, related pieces of the element information and stores the linked pieces of the element information in a storage device.

Abstract: According to one embodiment, a drawing data processing apparatus includes processing circuitry. The processing circuitry is configured to acquire a plurality of object data items relating to a plurality of objects, the objects composing a drawing, acquire attribute information relating to the objects from the object data items, filter the object data items based on the acquired attribute information, a dictionary including a plurality of filtering conditions associated with a plurality of data utilization purposes, and an input data utilization purpose to generate a filtering result, and output the filtering result.

Abstract: According to an embodiment, a learning device includes a hardware processor. The hardware processor is configured to: perform an inference task by using a first neural network; translate second domain data into first translated data by using a second neural network; update parameters of the second neural network so that a distribution that represents a feature of the first translated data approaches a distribution that represents a feature of the first domain data; and update parameters of the first neural network on a basis of a second inference result output when the first translated data is input into the first neural network, a ground truth label of the first translated data, the first inference result, and a ground truth label of the first domain data.

Abstract: According to an embodiment, an object detecting apparatus includes a detector and an estimation processing unit. The detector is configured to detect an object candidate area from a captured image. The estimating processing unit is configured to, by performing estimation processing using a part of or a whole of the captured image including at least the object candidate area, output object information including at least information representing a pose of an object in the object candidate area. The estimation processing includes: a first process estimating, from among vertices of a cuboid circumscribing the object and making contact with a road surface, positions of at least two vertices on the captured image that are viewable from a viewpoint of the captured image; and a second process estimating to which one of right-front, left-front, right-rear, or left-rear of the object the vertices having positions estimated by the first process are respectively corresponding.

Abstract: According to an embodiment, an object detecting apparatus includes a detecting unit and a non-linear processing unit. The detecting unit is configured to detect one or more object-candidate regions from a captured image. The non-linear processing unit is configured to input the entire captured image or a part of the captured image at least including the object-candidate region to a neural network having been trained to estimate the posture of an object in the object-candidate region and the distance to the object simultaneously, and output object information at least including information on the distance to the object, using an output from the neural network.

Abstract: According to an embodiment, an object detecting apparatus includes a detector and an estimation processing unit. The detector is configured to detect an object candidate area from a captured image. The estimating processing unit is configured to, by performing estimation processing using a part of or a whole of the captured image including at least the object candidate area, output object information including at least information representing a pose of an object in the object candidate area. The estimation processing includes: a first process estimating, from among vertices of a cuboid circumscribing the object and making contact with a road surface, positions of at least two vertices on the captured image that are viewable from a viewpoint of the captured image; and a second process estimating to which one of right-front, left-front, right-rear, or left-rear of the object the vertices having positions estimated by the first process are respectively corresponding.

Abstract: According to an embodiment, an object detecting apparatus includes a detecting unit and a non-linear processing unit. The detecting unit is configured to detect one or more object-candidate regions from a captured image. The non-linear processing unit is configured to input the entire captured image or a part of the captured image at least including the object-candidate region to a neural network having been trained to estimate the posture of an object in the object-candidate region and the distance to the object simultaneously, and output object information at least including information on the distance to the object, using an output from the neural network.

Abstract: According to an embodiment, an image processing device includes a receiver, a determiner, and a generator. The receiver is configured to receive a three-dimensional position in a coordinate system of three-dimensional data including an object. The determiner is configured to determine placement of a three-dimensional pointer having a first 3D shape and a second 3D shape positioned around the first 3D shape so that a position of the first 3D shape corresponds to the received three-dimensional position. The generator is configured to generate a stereoscopic image representing the three-dimensional pointer and the object.

Abstract: An ultrasound diagnosis apparatus according to an embodiment includes an extracting unit and a controlling unit. The extracting unit extracts, from a group of volume data, reference image data corresponding to ultrasound image data displayed on a display unit. The controlling unit causes the display unit to display the ultrasound image data and the reference image data. The extracting unit obtains information about an imaging region indicated by the ultrasound image data displayed on the display unit and sets a search region for searching the reference image data from the group of volume data, on a basis of the obtained information.

Abstract: According to one embodiment, a display device to be mounted on a head of a user, includes a display, a reflector, and a processor. The display is configured to emit image light including information of an image. The reflector is configured to reflect at least a part of the image light toward an eye of the user. The reflector is semi-transmissive. The processor is configured to control the display so as to reduce visibility of at least a part of the image when the processor receives a first signal while the display is emitting the image light. The first signal represents an action of the user in use.

Abstract: An ultrasound diagnosis apparatus according to an embodiment includes an extracting unit and a controlling unit. The extracting unit extracts, from a group of volume data, reference image data corresponding to ultrasound image data displayed on a display unit. The controlling unit causes the display unit to display the ultrasound image data and the reference image data. The extracting unit obtains information about an imaging region indicated by the ultrasound image data displayed on the display unit and sets a search region for searching the reference image data from the group of volume data, on a basis of the obtained information.

Abstract: According to an embodiment, an image processing device includes a receiver, a determiner, and a generator. The receiver is configured to receive a three-dimensional position in a coordinate system of three-dimensional data including an object. The determiner is configured to determine placement of a three-dimensional pointer having a first 3D shape and a second 3D shape positioned around the first 3D shape so that a position of the first 3D shape corresponds to the received three-dimensional position. The generator is configured to generate a stereoscopic image representing the three-dimensional pointer and the object.

Abstract: An image encoding apparatus includes a pixel bit depth increase converter to convert bit depth of each pixel of an input image to output a converted input image and output bit conversion information indicating the number of bits changed by conversion, an image encoder to encode the input converted input image to output encoded image information, and a multiplexer to multiplexes the bit conversion information and encoded image information.

Abstract: An video encoding apparatus includes a dividing unit 101 to divide an input image signal into to-be-encoded pixel blocks, a reblocking unit 102 to reblock each of the to-be-encoded pixel blocks to generate a first pixel block and a second pixel block, a first prediction unit 108A to perform prediction for the first pixel block using a first local decoded image corresponding to an encoded pixel to generate a first predicted image, a generation unit to generate a second local decoded image corresponding to the first pixel block using a first prediction error representing the difference between the first pixel block and the first predicted image, a second prediction unit 108B to perform prediction for the second pixel block using the first local decoded image and the second local decoded image to generate a second predicted image, an encoding unit 103-105 to transform and encode the first prediction error and a second prediction error representing the difference between the second pixel block and the second pred

Abstract: An image encoding apparatus includes a pixel bit depth increase converter to convert bit depth of each pixel of an input image to output a converted input image and output bit conversion information indicating the number of bits changed by conversion, an image encoder to encode the input converted input image to output encoded image information, and a multiplexer to multiplexes the bit conversion information and encoded image information.

Abstract: An apparatus for coding an image includes a setting unit that sets quantization width for each coded block of an image frame of image data. The apparatus also includes a visual attention calculating unit that calculates a level of visual attention to a first element for each coded block of the image frame; and a perceptual distortion calculating unit that calculates a level of perceptual distortion of a second element whose distorted image quality is easily visually perceived, for each coded block of the image frame. The apparatus also includes a correcting unit that corrects the quantization width based on the level of visual attention and the level of perceptual distortion; and a quantizing unit that quantizes the image data based on the corrected quantization width.