A photodiode array is provided and includes insulating substrate; photodiodes arrayed in detection region of insulating substrate, photodiodes configured to output signal in accordance with light incident on photodiodes; first switching elements corresponding to photodiodes and including first semiconductor made of oxide semiconductor; gate lines coupled with first switching elements and extending in first direction; signal lines coupled with first switching elements and extending in second direction intersecting first direction; and gate line drive circuit including second switching element that includes second semiconductor made of polycrystalline silicone, gate line drive circuit being provided in peripheral region outside detection region and configured to drive gate lines, wherein photodiodes includes translucent conductive layer that is cathode, and translucent conductive layer overlaps none of signal lines in plan view.

A dismantling procedure selecting apparatus includes a dismantling information storage unit that stores a plurality of pieces of dismantling information respectively including a plurality of predetermined dismantling procedures for a plurality of dismantled objects each used as a reference for dismantling an object to be dismantled, a whole detector that captures a whole image of the object to be dismantled, a detail detector that captures an image of at least a portion of the object to be dismantled, and a dismantling procedure deriving unit that extracts a first feature as a feature of the object to be dismantled based on data obtained by capturing an image by at least one of the whole detector and the detail detector, obtains a degree of matching between the first feature and each of a plurality of second features that are respectively features of a plurality of dismantled objects, and selects a dismantling procedure associated with one of a plurality of the dismantled objects having a second feature having a highest degree of matching among a plurality of second features.

A method the following operations: downscaling an input image to generate a scaled image; performing, to the scaled image, a first convolutional neural networks (CNN) modeling process with first non-local operations, to generate global parameters; and performing, to the input image, a second CNN modeling process with second non-local operations that are performed with the global parameters, to generate an output image corresponding to the input image. A system is also disclosed herein.

A video watermark processing method, an apparatus, an information transmitting method, an electronic device, and a storage medium are provided. The video data and the watermark data corresponding to the video data are separately acquired, so that a receiver of the video data may generate the target watermark according to the watermark data, and execute corresponding processing on the video data and the target watermark in response to the processing request for the video data.

A tracking system is disclosed utilizing one or more dynamic vision sensors (e.g., an event camera) configured to generate luminance-transition events associated with a target object, a depth estimation unit configured to generate based on the luminance-transition events depth data/signals indicative of a distance of the target object from the event camera, a spatial tracking unit configured to generate based on the luminance-transition events spatial tracking signals/data indicative of transitions of the target object in a scene of the target object, and an error correction unit configured to process the depth and spatial tracking data/signals and generate error correcting data/signals for the tracking of the target object by the one or more dynamic vision sensors.

A standard blood vessel generation device specifies, for each subject, a blood vessel region in which a blood vessel is depicted in an image, derives a feature line that connects feature points included in a plurality of figures included in the blood vessel region and that is along the blood vessel region, specifies a branch point on the feature line, disposes division points for line division on a line with a start point being one of two adjacent branch points and an end point being the other branch point, executes, for each set of division points having the same order counted from the start point in a plurality of the subjects, a process of calculating a statistic amount of coordinates for the set of the division points and setting a point whose coordinates are equal to the statistic amount as a standard point, and a process of setting a dimension of a predetermined site in the figure including the standard point and included in the blood vessel region as a standard diameter, and generates a standard blood vessel that is a blood vessel whose diameter at the standard point is the standard diameter and that is along a standard line connecting a plurality of the standard points.

Provided is an electronic device capable of suppressing an influence of internal reflected light in a device. An electronic device is provided with, sequentially from one side to the other side, a first polarizing plate that makes incident light linearly polarized light, a first ¼ wavelength plate a slow axis of which is different from an absorption axis of the first polarizing plate by 45 degrees or 135 degrees, a self-luminous element layer, a second ¼ wavelength plate a slow axis of which is in the same direction as the slow axis of the first ¼ wavelength plate, a second polarizing plate an absorption axis of which is orthogonal to the absorption axis of the first polarizing plate, and an imaging device that images light via the second polarizing plate.

Systems and methods are provided for decoding watermarks in video frames. A media device may receive a video frame that includes a first predetermined region comprising a watermark and a second predetermined region having pixel values selected to reduce the perceptibility of the first predetermined region. The media device may detect the watermark in the first predetermined region of the video frame and identify one or more contiguous subsets of pixels that correspond to a first pixel value and one or more contiguous subsets of pixels that correspond to a second pixel value. The media device then assigns a first symbol to the one or more contiguous subsets of pixels that correspond to the first pixel value and second symbol the one or more contiguous subsets of pixels that correspond to the second pixel value. The media device then generates a first sequence of symbols from the assigned symbols.

The present disclosure relates to processing input data by a neural network. Methods and apparatuses of some embodiments process the input data by at least one layer of the neural network and obtain thereby a feature tensor. Then, the distribution of the obtained feature tensors estimated. Another distribution is obtained. Such other distribution may be a distribution of another input data, or a distribution obtained by combining a plurality of distributions obtained for respective plurality of some input data. Then a distance value indicative of a distance between the two distributions is calculated and based thereon, a characteristic of the input data is determined. The characteristic may be pertinence to a certain class of data or a detection of out-of-distribution data or determination of reliability of a class determination or the like.

This disclosure relates to counterfeit detection and deterrence using advanced signal processing technology including steganographic embedding and digital watermarking. Digital watermark can be used on consumer products, labels, logos, hang tags, stickers and other objects to provide counterfeit detection mechanisms.