A method of photographing a subject includes storing a library of photographic scene designs in a computer memory, training a photographic scene detection model by a computer processing device using machine learning from sample portrait images comprising known photographic scenes defined in the library of photographic scene designs, capturing a production portrait photograph, using a digital camera, of a subject in a photographic scene that is defined by a photographic scene design in the library of photographic scene designs, automatically detecting the photographic scene in the production portrait photograph using the photographic scene detection model operating on one or more computer processors, and processing the production portrait photograph by an image processing system to personalize the photographic scene detected in the production portrait photograph.

A method for displaying service information on a preview interface, includes displaying by an electronic device, a photographing preview interface including a control, displaying p function controls and q function controls in response to a touch operation on the control, where the preview object includes a first sub-object of a text type and a second sub-object of an image type, p function controls correspond to the first sub-object, q function controls correspond to the second sub-object, displaying, in response to a touch operation performed on a first function control in the p function controls, first service information corresponding to a first function option, and displaying, in response to a touch operation performed on a second function control in the q function controls, second service information corresponding to a second function option.

An analysis device according to an aspect of the present disclosure: acquires a plurality of pieces of premise information and measurement data which relate to states of a plurality of mechanisms which configure a production line; identifies causal relationships among the plurality of mechanisms by statistically analyzing the plurality of pieces of measurement data under constraint conditions imposed by the premise information; outputs causal relationship information indicating the identified causal relationships; accepts a revision to the causal relationships indicated by the outputted causal relationship information; revises the premise information so as to impose the constraint conditions which comport with the revised causal relationships; and saves the revised premise information.

Aspects of the present invention disclose a method, computer program product, and system for image processing. The method includes one or more processors generating a first set of binary images from a first image based on a first color attribute value range associated with a textual object presented in the first image. The method further includes one or more processors recognizing a first set of candidates for the textual object from the first set of binary images. The method further includes one or more processors determining a first appearance frequency of a first candidate in the first set of candidates. In response to determining that the first appearance frequency exceeds a first frequency, threshold he method further includes one or more processors determining that the first candidate is a first recognition result for the textual object in the first image.

A method, a device, a terminal and a storage medium for acquiring slant value of slant image are provided. The method for acquiring slant value of a slant image comprises: analyzing the slant image and acquiring coordinate information of a plurality of boundary lines of the slant image; acquiring first slant values of the boundary lines by analysing and calculating the coordinate information; acquiring a correction value; calculating difference values between the first slant values and the correction value respectively; determining the first slant value corresponding to the minimum difference value as the slant value of the slant image. The technical solution of the present disclosure can uniquely determine a slant value of slant image.

Provided is an image processing system, an image processing method, and a program for preferably detecting a mobile object. The image processing system includes: an image input unit for receiving an input for some image frames having different times in a plurality of image frames constituting a picture, which is of a pixel on which the mobile object appears or a pixel on which the mobile object does not appear, for selected arbitrary one or more pixels in an image frame at the time of processing; and a mobile object detection model constructing unit for learning a parameter for detecting the mobile object based on the input.

An information-processing apparatus includes: a first acquisition unit configured to acquire gradation characteristic information which relates to a gradation characteristic; a second acquisition unit configured to acquire axial characteristic information which relates to an axial characteristic including a distribution, on an axis, of graduations corresponding to brightness-related values related to brightness of input image data; and a generation unit configured to generate, based on the input image data, the gradation characteristic information, and the axial characteristic information, distribution information indicating a distribution of the brightness-related value of the input image data using the axis according to the axial characteristic information.

A method for automatic extraction of data from a graph, including text area locating and text box classification; locating of coordinate axes, and locating of the positions of hatch marks on the coordinate axes; legend locating and information extraction; extracting corresponding bar or polyline connected components according to legend color, and filtering and classification; determining key points on the X-axis and locating a corresponding X-axis label for each key point; locating key points of the bars and polyline according to the X-axis key points, determining labeled numerical text boxes that correspond to the key points, and identifying the numerical text; calculating a corresponding value for each pixel, and estimating corresponding values of the key points of the bars or polyline; determining a final result according to a difference between the estimated values and the recognized labeled values.

A dynamic scale adjustment method for data visualization enhancement comprises calculating statistical data for a data collection section according to data collected in the data collection section, calculating a mean value according to the statistical data corresponding to the data collection section, dividing the statistical data into a plurality of levels, determining an upper threshold and a lower threshold according to the mean value, and assigning a first data of the statistical data to the highest level when the first data exceeds the upper threshold and assigning a second data of the statistical data to the lowest level when the second data is under the lower threshold.

A method comprising the steps of obtaining at least one frame of input data from at least one sensor, the frame of input data representative of a real-world environment at a given time. The frame is analysed to determine at least a foveal region within the frame, and at least a method for generating depth information associated with the real-world environment based on the frame of input data is selected. The method is applied to the foveal region to generate depth information associated with the foveal region, and at least the depth information associated with the foveal region is outputted.