Abstract: An information processing system (1) includes: acquisition means (11) for acquiring, regarding a frame of a video image distributed via a network, information indicating vectors of movements regarding respective subareas obtained by dividing the frame of the video image into a plurality of areas; estimation means (12) for estimating a position of an area of a specific part of a subject in the frame of the video image based on the information indicating the vectors of the movements acquired by the acquisition means; and control means (13) for causing a coding parameter to be set for the frame of the video image based on the position of the area of the specific part estimated by the estimation means.

Abstract: An information processing system (1) includes: acquisition means (11) for acquiring a coding parameter at a plurality of timings of a video image distributed via a network; and estimation means (12) for estimating reliability of results of analyzing information on a subject based on coding parameters of an area of a specific part of the subject at the plurality of timings.

Abstract: An information processing system (1) includes: specifying means (12) for specifying, in accordance with an analysis result based on a coded and distributed image, an image quality of an area including a specific part in the distributed image; and control means (13) for performing control for distributing the image in which the image quality of the area including the specific part is the specified image quality.

Abstract: An information processing system (1) includes: control means (12) for specifying a time when a change in an image quality of a second video image is set to be equal to or smaller than a threshold based on information about a first video image to be distributed; and transmission means (13) for transmitting information for setting a change in the image quality of the second video image to be equal to or smaller than the threshold at the time specified by the control means and causing the second video image to be distributed.

Abstract: According to the present disclosure, a video analysis method and a video analysis system in which video analysis accuracy at a cloud server and an edge is improved is provided. The video analysis method includes a first image analysis step of analyzing an input image frame on the edge side, a difference value estimation step of estimating a difference value between an evaluation value of an analysis result in the first image analysis step and an evaluation value of an analysis result being predicted when the input image frame is analyzed by the cloud server, and a filtering step of determining whether to transmit the input image frame to the cloud server, based on the difference value.

Abstract: The requirement feature extractor extracts statistical features related to service requirements of UEs. The traffic feature extractor extracts statistical features related to incoming and outgoing traffic. The channel feature extractor extracts statistical features related to a wireless channel condition and a wireless channel configuration. The context unit generate a context vector based on the statistical features. The ML model array estimates QoS for mixed-numerology configurations based on the context vector. The decision unit selects a mixed-numerology configuration used for data transmission and data reception based on the estimated QoS.

Abstract: To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus (1) includes: an obtaining means (10) for obtaining input data which includes at least one of image data and point cloud data; an estimating means (11) for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means (12) for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means (13) for deriving an evaluation value by referring to the replaced data; and a training means (14) for training the estimating means with reference to the evaluation value.

Abstract: To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.

Abstract: An information processing system (100) according to the present disclosure includes: an acquisition means (101) for acquiring video data including a subject receiving a medical service and subject-related information related to the subject included in the video data; an identification means (102) a change area where image quality in the video data is changed based on the subject-related information; and an image quality changing means (103) for changing the image quality in the identified change area. The subject-related information is at least one of the subject's medical record information, medical interview information, subject's voice information, or motion information included in the video data.

Abstract: A model learning device determines a first machine learning model so as to further increase a combined loss function obtained by combining: a first loss function indicating the level of change in the reliability of a second image feature in a feature region of a reconstructed image, from the reliability of a first image feature in a feature region of the original image; and a second loss function indicating the level of recognition error. In addition, the model learning device: determines, so as to further reduce the combined loss function, respective parameter sets for a second machine learning model used in the generation of compressed data, and a third machine learning model used in the generation of the reconstructed image from the compressed data; and determines a parameter set for the fourth machine learning model in common with that for the first machine learning model.

Abstract: To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.

Abstract: Provided is an image processing apparatus which makes it possible to, during remote control, carry out suitable monitoring while suitably suppressing a transmission load. An image processing apparatus includes: an obtaining means for obtaining an image which has been captured from a movable body; an importance level estimating means for estimating levels of importance with respect to a respective plurality of regions included in the image; and a quality parameter determining means for determining quality parameters with respect to the respective plurality of regions with reference to the levels of importance.

Abstract: A first distribution estimating device determines a first probability distribution of quantized values in a predetermined value range corresponding to an input value, by using a first machine learning model. A first sampling device samples the quantized values and determines a first sample value, using the first probability distribution. A second distribution estimating device determines a second probability distribution corresponding to the first sample value, by using a second machine learning model. A second sampling device samples the quantized values in the value range and determines a second sample value, using the second probability distribution. It can be implemented in the form of any of an information processing system, an encoding device, a decoding device, a model learning device, an information processing method, an encoding method, a decoding method, a model learning method, and a program storage medium.

Abstract: To provide a control device that can prevent an increase in a processing load and that can effectively allocate a radio resource. A control device (30) according the present disclosure includes: a deciding unit (31) configured to decide whether or not an interval between generation of a first flow that is generated when performing radio communication between a communication terminal (10) and a base station (20) and generation of a second flow that is generated after the generation of the first flow exceeds a permissible delay time of the first flow; and a determination unit (32) configured to determine deletion of non-transmitted data related to the communication terminal (10) after lapse of the permissible delay time of the first flow when it is decided that the generation interval exceeds the permissible delay time of the first flow.

Abstract: An information processing device receives communication data based on feature data that indicates a feature of presented content of target data; restores the feature data on the basis of the received communication data; restores the target data on the basis of the restored feature data; performs a recognition process on the presented content of the target data on the basis of the restored feature data; and outputs information that indicates the presented content of the restored target data and a recognition result of the recognition process.

Abstract: Estimating determines, on the basis of processed quantized values, a quantization interval for quantizing input element values, which are elements of input values serving as a processing object and determines, on the basis of the processed quantized values, a probability distribution of quantization value candidates, which are candidates of quantized values of the input element values; quantizing uses the quantization interval to quantize the input element values and determine a quantized value; and entropy encoding uses the probability distribution to perform entropy encoding of a quantization time sequence which includes quantized value codes indicating the quantized values of the input element values.

Abstract: A cardboard box dividing device and a cardboard box production device are provided with: lower conveyors on which a plurality of connected cardboard box bodies are stacked and transported; a pressing device pressing the plurality of connected cardboard box bodies stacked on the lower conveyors from above; a cutting knife disposed along a width direction of the connected cardboard box bodies and dividing the plurality of connected cardboard box bodies stacked on the lower conveyors into a front part and a rear part; and a lifting/lowering device lifting and lowering the lower conveyors and the pressing device.

Abstract: In order to enable stabilizing control of communication in a communication network, a system according to an aspect of the present disclosure includes: an obtaining means for obtaining work-related information related to human work in network operation; and a training means for training a machine learning based controller for controlling communication in a communication network, based on the work-related information.

Abstract: An exposure node (50) receives a first request for resource management for future background data transfer between an application service provider and a plurality of radio terminals (10) from a server (60) associated with the application service provider and send a second request to a policy control node (40) in response to receiving the first request. The first request includes a parameter indicating whether background data transfer not complying with a previously agreed or negotiated transfer policy should be stopped, or whether the background data transfer should continue under a charging rule different from a previously agreed charging rule. The second request includes the parameter obtained from the first request. This enables the application service provider to negotiate with the radio communication network about handling of background data transfer not complying with a previously agreed transfer policy.

Abstract: A communication control apparatus (10) according to the present disclosure includes a communication unit (11) communicating information to and from a moving body, a violation time predicting unit (12) predicting a violation time at which the moving body violates a constraint condition relating to a relative relationship between the moving body and another object or a constraint condition relating to a relative relationship between the moving body and a path on which the moving body should run by using positional information of the moving body, a deadline calculating unit (13) calculating an execution deadline of an avoidance operation for avoiding a violation of the constraint condition by using the violation time, and a communication control unit (14) increasing a priority level of a communication with the moving body as a time difference between a current time and the execution deadline decreases.