Disclosed are a facial beauty prediction method and device based on multi-task migration. The method includes: performing similarity measurement based on a graph structure on a plurality of tasks to obtain an optimal combination of the plurality of tasks; constructing a facial beauty prediction model including a feature sharing layer based on the optimal combination; migrating feature parameters of an existing large-scale facial image network to the feature sharing layer of the facial beauty prediction model; inputting facial images for training to pre-train the facial beauty prediction model; and inputting a facial image to be tested to the trained facial beauty prediction model to obtain facial recognition results.

An estimation system includes: an acquisition processor that acquires a captured image of an object to be estimated; and an estimation processor that uses a single learned model generated on the basis of learning data, in which an image of the object to be estimated is associated with each of a plurality of attributes of the object to be estimated, to estimate a first attribute included in the plurality of attributes, from a first output value of a first output layer corresponding to the first attribute and to estimate a second attribute included in the plurality of attributes, from a second output value of a second output layer corresponding to the second attribute, with the captured image acquired by the acquisition processor as an input image.

According to the present invention, there is provided an information processing system (100) including an acquisition unit (11) that acquires an image, which is generated by a camera, of a face, a selection unit (14) that extracts a person in the acquired image, and selects a person who performs a settlement process based on at least one of a distance from a checkout apparatus, an appearance frequency, and an appearance period of time in a case where a plurality of persons are extracted, an identification unit (12) that identifies the selected person based on the image in which the person is included, and database information in which a feature value of a face is registered, a settlement unit (checkout unit (21)) that performs the settlement process with respect to the identified person.

A system and method for tracking multifunction peripheral device user satisfaction captures user images and audio during device operation. User characteristics such as gestures, posture, spoke words or facial expressions are used in conjunction with device status information to determine whether the user is satisfied with the device. If not, remedial action is initiated, such as launching a virtual assistant on the multifunction peripheral touchscreen or summoning of a human assistant.

There is provided a method for predicting characteristic information of a target to be recognized. The method comprises: acquiring a plurality of first face images for learning and characteristic information on each first face image; generating a plurality of second face images for learning obtained by synthesizing a mask image with the plurality of first face images for learning by a predetermined algorithm; and training a first neural network by using the plurality of second face images for learning as input data for learning and characteristic information as label data for each second face image corresponding to one of the first face images.

An attribute recognition system has a person face detection circuitry to detect a suitable person or face for recognition of at least one attribute from persons or faces captured in frame images input from at least one camera to capture a given capture area, an identification information assignment circuitry to identify the persons or faces captured in the frame images having been subjected to the detection by the person face detection circuitry so as to assign an identification information to each identified person or face, and an attribute recognition circuitry to recognize the attribute of a person or face assigned with the identification information, only if the person or face is yet without being subjected to recognition of the attribute, and at the same time if the person or face has been detected by the person face detection circuitry as a suitable person or face for the recognition of the attribute.

An embodiment of the present disclosure provides a method using a computing device to initiate play of media within a medical examination or treatment room. The method may include: capturing a plurality of images by a one or more image capturers; determining whether any persons are within a predefined boundary area in one or more of the images using a face detector or person detector; determining whether any persons are outside of the boundary area in one or more of the images using the person detector; and initiating play of media when a first person is determined to be within the predefined boundary area and no persons are determined to be outside of the boundary area in the images.

A data processing system that can sense fatigue or the like using a neural network is provided. First, a reference image is obtained on the basis of first to n-th images (n is an integer greater than or equal to 2). Next, the first to n-th images and the reference image are input to an input layer of a neural network, first to n-th estimated ages and a reference estimated age are output from an output layer, and first to n-th data and reference data are output from an intermediate layer. After that, first to n-th coordinates are obtained in each of which an x-coordinate is a value corresponding to a difference between the reference estimated age and the first to n-th estimated ages and a y-coordinate is a value corresponding to the degree of similarity between the reference data and the first to n-th data. Next, a query image is input to the input layer, a query estimated age is output from the output layer, query data is output from the intermediate layer, and query coordinates are obtained using the output results. Whether a person of a face included in the query image feels fatigue or the like is determined on the basis of the first to n-th coordinates and the query coordinates.

The present disclosure provides a display method and a display device for an interactive interface and a computer-readable storage medium. The display method for the interactive interface includes: determining, from at least one object, a target object to interact through the interactive interface; acquiring an attribute information of the target object and an emotion information of the target object; and controlling a display of a first object region of the interactive interface according to the attribute information of the target object and the emotion information of the target object.

In an example in accordance with the present disclosure, an electronic device is described. The electronic device includes a camera to capture an image of a user facing the electronic device. An image analyzer of the electronic device determines a characteristic of the user from the image of the user. The electronic device also includes a presentation controller. The presentation controller 1) selects a presentation characteristic based on a determined characteristic of the user and 2) alters a display of the electronic device based on a selected presentation characteristic.