Abstract: In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.

Abstract: Computer processor hardware receives image data specifying element settings for each image of multiple original images in a sequence. The computer processor hardware analyzes the element settings across the multiple original images. The computer processor hardware then utilizes the element settings of the multiple original images in the sequence to produce first encoded image data specifying a set of common image element settings, the set of common image element settings being a baseline to substantially reproduce each of the original images in the sequence.

Abstract: Disclosed is a method of classifying visual elements in a region of a video as either foreground or background. The method classifies each visual element in the region as either foreground or background using a first classifier, and expands spatially at least one of the visual elements classified as foreground to form a spatially expanded area. The method then classifies the visual elements in the spatially expanded area as either foreground or background using a second classifier that is more sensitive to foreground than the first classifier.

Abstract: A fingerprint sensor includes a pixel array, an offset cancellation circuit, a correlated double sampling and integration circuit, a sample and hold circuit, and an analog-to-digital converter. The pixel array includes unit pixels arranged in rows and columns, each of which generates an analog signal by detecting a fingerprint of a user. The offset cancellation circuit receives the analog signal from the unit pixels through a plurality of column lines, and outputs one of the analog signal and an offset cancellation signal as an integration signal based on an offset control signal. The correlated double sampling and integration circuit accumulatively performs a correlated double sampling operation and an integration operation on the integration signal to generate an accumulation signal. The sample and hold circuit samples the accumulation signal based on a hold signal to generate a sampling signal. The analog-to-digital converter converts the sampling signal to a digital signal.

Abstract: The present invention relates to a method of generating reference data for inspecting a circuit board. The method comprises steps of scanning a bare circuit board to obtain image information of the bare circuit board, generating a compensation matrix using pad coordinate information extracted from the image information and pad coordinate information prestored in design data, and generating, by applying the compensation matrix to the image information, a reference data including coordinate information of a distinctive object. According to the method, inspection efficiency may optimized through quickly generating reference data without CAD information necessary for circuit board inspection.

Abstract: The image coding method includes: determining a context for a current block to be processed, from among a plurality of contexts; and performing arithmetic coding on the control parameter for the current block to generate a bitstream corresponding to the current block, wherein in the determining: the context is determined under a condition that control parameters of neighboring blocks of the current block are used, when the signal type is a first type, the neighboring blocks being a left block and an upper block of the current block; and the context is determined under a condition that the control parameter of the upper block is not used, when the signal type is a second type, and the second type is one of “mvd_l0” and “mvd_l1”.

Abstract: Systems and methods for selecting representative photos for a photo album are described. An example computing device may include a display, a logic device, and a storage device storing instructions executable by the logic device to, for each known individual recognized in one or more photos of the album, determine an affinity score for that known individual indicating a connection of that known individual to a) a user of the computing device and b) a context corresponding to the album. The instructions may be further executable to select one or more known individuals based on the affinity score to be included in a subset of the known individuals recognized in one or more photos of the album, and select a representative photo of each of the subset of the known individuals to be included in one or more of a highlight photoset and a cover photo for the album.

Abstract: In various embodiments, a system and method for manufacturing and using an optical enhancement assembly in combination with an image-capturing device are presented. In example embodiments, the optical enhancement assembly is affixed over an aperture on the image-capturing device using a securing agent. Light is allowed to travel through the optical enhancement assembly and into the aperture of the image-capturing device such that the light can be recorded as a still image or video. The optical enhancement assembly includes at least a unique fractalized diffraction pattern that impacts light traveling into the aperture and causes a unique diffraction effect on the image or video recorded by the image-capturing device.

Abstract: Digital image processing circuitry converts a macro-pixel of an image in a color filter array (CFA) color space to a macro-pixel in a luminance-chrominance (YUV) color space. Chrominance filtering is applied to chrominance components of the converted macro-pixel in the YUV color space, generating a filtered macro-pixel in the YUV color space. The filtered macro-pixel in the YUV color space is converted into a filtered macro-pixel in the CFA color space.

Abstract: A fingerprint identification device includes a fingerprint identification element configured to identify fingerprint and a capacitive touch sensor configured to continuously detect whether an object is touching the fingerprint identification element. A controller is electrically connected to the fingerprint identification element and the capacitive touch sensor. The controller is configured to control the capacitive touch sensor to stop detecting and the fingerprint identification element to start working when the capacitive touch sensor detects that an object is touching the fingerprint identification element.

Abstract: Systems and methods for detecting the presence or absence of screen covers on electronic device screens are disclosed. In one embodiment, the method includes obtaining an image of a front side of an electronic device and automatically identifying line segments in the image. For each identified line segment, the method includes calculating the angle of the identified line segment. The method further includes determining an amount of the line segments having vertical or horizontal orientations. If the amount of identified vertical or horizontal line segments exceeds a predetermined threshold amount, then the presence of a screen cover is indicated.

Abstract: Retrieving and/or storing images associated with events is described. For example, streams of event data comprising text are analyzed to detect an event and a language component builds an event language model for the event, comprising a plurality of words. In various examples, images extracted from web or other sources have associated text. In examples, images with associated text that is similar to the event language model are identified as images of the event. In various examples, associations between images and events are used to update an image retrieval system and/or an image storage system. In various examples, query terms about an event are received at an image retrieval system which returns images related to the event on the basis of associations between image text and event language models.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating descriptions of input images. One of the methods includes obtaining an input image; processing the input image using a first neural network to generate an alternative representation for the input image; and processing the alternative representation for the input image using a second neural network to generate a sequence of a plurality of words in a target natural language that describes the input image.

Abstract: A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.

Abstract: A full-screen fingerprint identification method includes disposing a wire mesh on a touch panel. The wire mesh includes a plurality of metal wires. The metal wires are connected to a switch unit. A fingerprint identification area is appointed on the touch panel, and a portion of the switch unit associated with the metal wires in the fingerprint identification area is turned on to make the metal wires in the fingerprint identification area conductive for fingerprint identification. A full-screen fingerprint identification device includes a touch panel and a wire mesh disposed on the touch panel. The wire mesh includes a plurality of metal wires connected to a switch unit. The touch panel includes a fingerprint identification area. A portion of the switch unit associated with the metal wires in the fingerprint identification area can be turned on to make the metal wires in the fingerprint identification area conductive for fingerprint identification.

Abstract: Systems and methods for monitoring components are provided. A component has an exterior surface. A method includes performing a first analysis of a first image of a surface feature configured on the exterior surface of the component, the first image obtained by an imaging device. The method further includes adjusting a viewing parameter of the imaging device when a predetermined first analysis threshold for the first image is unsatisfied, and performing a subsequent first analysis of a second image of the surface feature, the second image obtained by the imaging device. The method further includes adjusting a distance between the imaging device and the surface feature when the predetermined first analysis threshold for the second image is unsatisfied, and performing a second analysis of a third image, the third image obtained by the imaging device.

Abstract: An image display method includes displaying an input image having distortion on a display, receiving a plurality of points which are specified on the displayed input image in response to a user input, calculating a first processing area having a first shape according to the points specified on the displayed input image so that the first shape becomes a predetermined shape when distortion of the first processing area having the first shape is corrected, and displaying the first processing area having the first shape together with the input image on the display.

Abstract: In one embodiment, an image containing a number of colors is received. The image is divided into a number of sections, and an importance value is determined for each section. For each section of the image, a frequency of each color is determined. For each color in the image, a weighted score is calculated based on the frequency of that color in a particular section, and the importance value in the particular section. The weighted scores are used to adjust an error metric used to determine an approximation function for a color profile to transform the image from a first color space to a second color space, where the error metric measures the difference between the approximation function and an ideal function curve for the transformation.

Abstract: Systems and methods for encoding information in a graphic information unit. The methods comprise: determining an outer contour of the graphic information unit; and encoding information with an at least two-dimensional code in at least one area located solely within the outer contour. The encoding is applied to image elements of the graphic information unit.

Abstract: A method and apparatus for cross-modal matching with polarimetric thermal image data is provided. According to one embodiment, the method comprises receiving a plurality of polarimetric thermal images of a face acquired by a polarimetric thermal imaging camera, extracting features of the face from each of the plurality of images to generate a plurality of feature vectors for each of the plurality of images, compositing the feature vectors for each of the plurality of images together to form composite feature vectors and cross-modally matching the composite feature vectors with other feature vectors, in order to determine whether the face matches a face represented by the other feature vectors.