Abstract: An object of the present disclosure is to provide a communication control method capable of preventing excessive bandwidth allocation to a specific apparatus. A communication control method according to the present disclosure includes: estimating a quality of experience of a monitoring person who monitors videos displayed on a monitoring apparatus (30) that has received video data of the videos captured by a plurality of imaging apparatuses (20) via a network (40), when viewing the videos; and controlling communication for transmitting the video captured by each of the imaging apparatuses (20) to the monitoring apparatus via the network based on the estimated quality of experience.

Abstract: An information processing system (100) according to the present disclosure includes communication status acquisition means (101) for acquiring a communication status, the communication status being one when a first terminal receives a video image including a subject from a second terminal through a network, and instruction means (102) for outputting instruction information for guiding at least one of a user of the first terminal, a user of the second terminal, and the subject to at least one of the first and second terminals based on the) acquired communication status. Further, the first terminal includes first display means for displaying a video image of the subject and displaying the instruction information from the instruction means, and the second terminal includes second display means for displaying the instruction information from the instruction means.

Abstract: An information processing system (100) according to the present disclosure includes acquisition means (101) for acquiring video data including a subject, calculation means (102) for calculating reliability of biometric information of the subject measured from the video data, and instruction means (103) for outputting, to the subject, instruction information for adjusting a state of the subject based on the calculated reliability. The information processing system (100) may further include shooting means for shooting the subject and thereby generating the video data, and zoom control means for controlling a zoom of the shooting means, in which the instruction means (103) changes the instruction information according to a zoom state of the shooting means.

Abstract: A process of switching a provision source server of a service for a mobile object is performed at a timing suitable for a service being provided. A management system or a management apparatus evaluates a degree of influence of a server switching process of switching a provision source server of a service for a mobile object, which is exerted on the service. The management system or the management apparatus decides a timing to switch the provision source server on the basis of an evaluation result of the evaluating and gives an instruction to switch the provision source server at the timing decided by the decision.

Abstract: A state analysis unit analyzes the state of each of a plurality of monitoring targets based on sensor data received from the plurality of monitoring targets, and determines whether or not a predetermined event has occurred in each of the monitoring targets. A surveillant allocation unit determines one of the plurality of surveillants who is responsible for work of monitoring the monitoring target where it has been determined that the predetermined event has occurred based on the predetermined event that has occurred and a load index indicating the monitoring work by the surveillant.

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: 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: 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: 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: 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: 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 (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: 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: 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 monitoring person can rapidly take a countermeasure against a situation occurring in a moving object. Image reception means (31) receives image data obtained by imaging the outside of the moving object. Candidate acquisition means (32) acquires control content candidates of autonomous driving of the moving object. Monitoring screen display means (33) causes a display apparatus to display a monitoring screen. The monitoring screen includes a region where the image data is displayed and a region where the control content candidates are displayed. When one control content is selected from the control content candidates, control content transmission means (34) transmits a control signal representing the selected control content to the moving object.