Systems and methods electronically uniquely imprint a digital watermark on produced resources, such as on data or electronic documents produced by an online software platform (OSP), in nearly invisible ways that are likely to survive subsequent processing. In one embodiment the OSP stores a plurality of resource digital rules used for producing resources for respective relationship instances of primary entities with other entities; receives a dataset on behalf of a primary entity, in which the dataset includes data representing a relationship instance between the primary entity and a secondary entity; in response to the received dataset, produces a resource based on applying one or more of the plurality of resource digital rules to the dataset; and digitally watermarks the produced resource with a digital watermark such that the produced resource is identifiable via the digital watermark as having been produced by the OSP.

An image reading device that efficiently performs shading correction that flexibly responds to changes in the diffusion properties of reflected light on the surface of a reading target efficiently performing same as a result of including: controlling a plurality of light sources so as to cause only a specific light source among the light sources to be lit; obtaining the diffusion state of a first reflected light generated by the specific light source being lit, in a state in which general shading correction data not dependent on the image reading target is generated; obtaining a diffusion state for a second reflected light generated by light being irradiated on to the reading target by the specific light source; and generating dedicated shading correction data that relies on the reading target, based on the first reflected light diffusion state, the second reflected light diffusion state, and the general shading correction data.

A system for analyzing screenshots can include a computing device including a processor coupled to a memory and a display screen configured to display content. The system can include an application stored on the memory and executable by the processor. The application can include a screenshot receiver configured to access, from storage to which a screenshot of the content displayed on the display screen captured using a screenshot function of the computing device is stored, the screenshot including an image and a predetermined marker. The application can include a marker detector configured to detect the predetermined marker included in the screenshot. The application can include a link identifier configured to identify, using the predetermined marker, a link to a resource mapped to the image included in the screenshot, the resource accessible by the computing device via the link.

An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n≥3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m≥2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n≥3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m≥2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

A detection device includes: optical sensors; switching elements, gate lines, and signal lines corresponding to the optical sensors; a detection circuit that is supplied with signals from the optical sensors through the signal lines; and a signal line selection circuit for switching a coupling state between the signal lines and the detection circuit. A drive signal is supplied to the gate lines row by row to bring the switching elements belonging to a predetermined row into a coupled state. The signal line selection circuit couples the signal lines to the detection circuit column by column in a predetermined order in a reading period of the predetermined row. A reset potential is supplied to the optical sensors and the signal lines belonging to the predetermined row after completion of the reading period of the predetermined row and before start of the reading period of a row next to the predetermined row.

An imaging system includes a light emitter that emits light toward the surroundings of a vehicle, an imager that captures an image of a range including a region that is illuminated with light emitted by the light emitter, and a difference image generator that generates (n−1) difference images from n captured images captured by the imager (n is an integer no smaller than 3). The difference image generator generates a difference image based on an image included in the n captured images and captured while the light emitter is on and an image included in the n captured images and captured while the light emitter is dimmed.

An information processing apparatus creates a dated image data list by classifying a plurality of dated image data, associates the dated image data list with a specific user, acquires the dated image data for a subject, which is similar to a subject of dateless image data, from the dated image data list, and derives a date to be added to the dateless image data, based on the date added to the acquired dated image data. The plurality of dated image data are image data of a plurality of users including the specific user. The dated image data list is created by classifying the plurality of dated image data for each subject. The dated image data list for a subject, which is similar to a subject of the dated image data, is associated with the specific user.

An object detection method is provided. In the method, raw point cloud data including a to-be-detected object is obtained, where the raw point cloud data includes annotation information for the to-be-detected object; instance point cloud data corresponding to the to-be-detected object is extracted from the raw point cloud data by using the annotation information; an object position point is determined from the raw point cloud data, and the raw point cloud data and the instance point cloud data to obtain a fused to-be-detected sample is fused based on the object position point and the to-be-detected object is detected by using the raw point cloud data and the to-be-detected sample.

The present disclosure provides an information processing method for performing the following steps, and the resulting information includes captured image data including at least the robot arm every predetermined period: a step of causing a captured image data acquisition unit to acquire captured image data of an imaging target at least including a robot arm and a control object; a step of causing a control unit to change a state of the control object every predetermined period based on user setting; an image comparison step of causing an image comparison unit to compare the captured image data with reference image data; and a step of causing a result information acquisition unit to detect a predetermined state change based on a result of the comparison in the image comparison step, acquire result information regarding a work of the robot arm, and store the result information in a result information storage unit.