Abstract: A method includes obtaining a first preview picture collected by a camera, where an angle of view FOV of the camera is a first FOV value. The camera collects the first preview picture based on a second FOV value, and the second FOV value is less than the first FOV value. The method further includes adjusting the second FOV value to a third FOV value when it is detected that a quantity of at least one target human face in the first preview picture is greater than a first preset value, where the third FOV value is greater than the second FOV value, and the third FOV value is less than or equal to the first FOV value; and outputting an image that is photographed by the camera based on the third FOV value.

Abstract: System and method for reducing false negatives in object detection, including: extracting an object of interest from a respective image in a first set of training data that includes in distribution (ID) data. For each of the object of interest extracted from the respective image in the first set of training data: fusing the object of interest with an image from a second set of data that does not include any objects of interest to form a fused image; adding the fused image to the training data; and using the training data to train a detection model for object detection.

Abstract: A photographing method and apparatus are provided. The photographing method includes: identifying a photographing distance and a photographing angle with respect to the external device based on timings of signals transmitted and received through a communication connection; acquiring a scene image based on an output of a camera of the photographing device; identifying a current composition model based on the photographing distance, the photographing angle and the scene image; acquiring a set of photographing parameters that are associated with the current composition model; identifying a focal length based on the photographing distance and the current composition model; displaying a preview image based on the output of the camera, the photographing parameter and the current composition model; outputting the preview image as a photographing result based on a photographing instruction; and updating the set of photographing parameters based on the photographing parameter.

Abstract: A method for generating a three-dimensional image of an object, comprising receiving a set of input point cloud data from an imaging system, the set of input point cloud data comprising two or more input point clouds, determining, for each point in the respective input point clouds, a value of a quality parameter that reflects a degree of uncertainty in the three dimensional coordinates as specified for that point, generating an output point cloud for generating a three-dimensional representation of the object surface, wherein, for each point in the output point cloud, the coordinates of the respective point are computed based on the coordinate values of the points in the input point clouds, wherein the extent to which the coordinate values in the respective input point clouds are taken into consideration in the computation is determined based on the values of the quality parameter associated with those respective points.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and method for performing operations comprising: receiving, by a messaging application, an image from a camera of a user device; receiving input that selects a user-customizable effects option for activating a user-customizable effects mode; in response to receiving the input, displaying an array of a plurality of effect options together with the image proximate to the user-customizable effects option; and applying a first effect associated with a first effect option of the plurality of effect options to the image.

Abstract: The present technology is a graphical user interface for a video recording system and method of recording a video while applying special effects in real time prior to and/or while recording. The interface is associated with an electronic device including a processor in communication with a camera and a memory unit. Inputs from the interface are utilized by the processing unit to determine if the native speed rate of the raw video data is to be changed, and if so then modifies at least one frame in the raw video data to create a modified video data at a modified speed rate that is different to the native speed rate. The system then generates an output video feed that is displayed in the graphical user interface. This allows for the continuous recording of video from the camera or video feed at different speed rates without altering camera operations or settings.

Abstract: Shoppable video enables a viewer to identify and buy items appearing in a video. To retrieve information about the items in a frame of the video, the playback device generates a perceptual hash of that frame and uses that hash to query a first database storing perceptual hashes of different version of the video. The database query returns an identifier for the frame, which is then used to query a second database that store the item information. The results of this query are returned to the playback device, which shows them to the user, enabling the viewer to learn more about and possibly purchase the item. Using queries based on perceptual hashes of different versions of the video increases the likelihood of returning a match, despite formatting differences. And using separate hash and metadata databases makes it possible to update the metadata without changing the hashes.

Abstract: An image capture apparatus according to an embodiment of the present technology includes an image generation unit, an edge detection unit, and a color control unit. The image generation unit generates a captured image by capturing a subject. The edge detection unit detects an edge portion included in the generated captured image. The color control unit controls a color of a highlighted display for highlighting the edge portion for each detected edge portion based on color information about the edge portion in the captured image.

Abstract: A capture setting for one or more image capture devices may be determined. The capture setting may define one or more aspects of operation for the image capture device(s). The aspect(s) of operation for the image capture device(s) may include one or more aspects of operation for a processor of the image capture device(s), an image sensor of the image capture device(s), and/or an optical element of the image capture device(s). A machine-readable optical code may be generated based on the capture setting and/or other information. The machine-readable optical code may convey the capture setting for the image capture device(s) such that a first image capture device capturing a first image including the machine-readable optical code may: (1) identify the machine-readable optical code within the first image; (2) determine the capture setting conveyed by the machine-readable optical code; and (3) operate in accordance with the capture setting.

Abstract: A zero-step user recognition and biometric access control system and method which comprises various sensors configured to capture a plurality of biometric data associated with a user, a database configured to store a plurality of user information including identifiable biometric data associated with the user, a biometric verification server configured to receive a plurality of biometric data from the sensors and user information from the database, and to return a confirmation of the user's identity, in order to provide real-time user recognition, authentication, and access control using biometric data.

Abstract: Methods and systems for rendering a virtual overlay in an extended reality (XR) environment are described. Image data is received, representing a current field of view (FOV) in the XR environment. A spatial boundary is defined in the current FOV, based on user input. An image label representing a region of interest (ROI) within the defined spatial boundary, and one or more object labels representing one or more objects within the defined spatial boundary are generated. At least one relevant virtual object is identified. The virtual object is relevant to a semantic meaning of the ROI based on the image label and/or the one or more object labels. Identification of the at least one relevant virtual object is outputted, to be renderable in the XR environment.

Abstract: The present disclosure relates to a method performed by a background blurring system (1) for provision of a video compression stream from a video camera (2) adapted for capturing a scene. The background blurring system identifies (1001) in a first image of the scene, at a first point in time, at least a first pixel comprised in a background of the first image. The background blurring system further determines (1002) a blurred pixel value for the at least first pixel. Moreover, the background blurring system provides (1003), subsequent the first point in time, the blurred pixel value in the video compression stream. The background blurring system furthermore identifies (1004) in a second image of the scene, at a subsequent second point in time, that the at least first pixel has altered to be comprised in a foreground of the second image.

Abstract: There is provided a Bluetooth system including multiple slave devices. When a first slave device among the multiple slave devices changes its connection to a different master device, the first slave device actively informs other slave devices among the multiple slave devices to connect to said different master device to realize the Bluetooth connection synchronization between the multiple slave devices.

Abstract: According to certain embodiments, an image sensor including a pixel, the pixel including a micro lens, a plurality of photodiodes, and a color filter disposed between the plurality of photodiodes and the micro lens; a processor operatively connected to the image sensor; and a memory operatively connected to the processor, wherein the memory stores one or more instructions that, when executed by the image sensor, cause the image sensor to perform a plurality of operations, the plurality of operations comprising: determining whether the image sensor is in a high-resolution mode; when the image sensor is in the high-resolution mode, calculating a disparity based on signals detected from the plurality of photodiodes; when the disparity is not greater than a threshold value, applying a first remosaic algorithm to the signals; and when the disparity is greater than the threshold value, applying a second remosaic algorithm to the signals.

Abstract: The present invention relates to a method for dynamic image content replacement in a video stream comprising generating a set of key image data (K) comprising a sequence of at least two different key images (K1, K2), periodically displaying said set of key image data (K) on a physical display, generating at least a first original video stream (O1) of a scene which includes said physical display by recording said scene with a camera, wherein said at least one video stream (O1) comprises key video frames (FK1, FK2), captures synchronously with displaying each of said at least two different key images (K1, K2) of said set of key image data (K) on said physical display, generating a mask area (MA) corresponding to an active area of said physical display visible in said key video frames from differential images (AFK) obtained from consecutive key video frames (FK1, FK2), generating at least one alternative video stream (V) by inserting of alternative image content (I) into the mask area (MA) of an original video s

Abstract: Methods and apparatus for metadata-based cinematography, production effects, shot selection, and/or other content augmentation. Effective cinematography conveys storyline, emotion, excitement, etc. Unfortunately, most amateur filmmakers lack the knowledge and ability to create cinema quality media. Various aspects of the present disclosure are directed to, among other things, rendering media based on instantaneous metadata. Unlike traditional post-processing techniques that rely on human subjectivity, some of the various techniques described herein leverage the camera's actual experiential data to enable cinema-quality post-processing for the general consuming public. Instantaneous metadata-based cinematography and shot selection advisories and architectures are also described.

Abstract: Disclosed are a depth image processing method, a depth image processing apparatus (10), and an electronic device (100). The depth image processing method is applied in the electronic device (100) including a depth image capturing apparatus (20) configured to capture an initial depth image. The depth image processing method includes: obtaining (01) target depth data for a number of regions of interest of the initial depth image; determining (02) whether the number of regions of interest is greater than a predetermined value; grouping (03), in response to the number of regions of interest being greater than the predetermined value, the number of regions of interest based on the target depth data to obtain a target depth of field; obtaining (04) a target blurring intensity based on the target depth of field; and blurring (05) the initial depth image based on the target blurring intensity to obtain a blurred depth image.

Abstract: The present disclosure relates to training and utilizing an image exposure transformation network to generate a long-exposure image from a single short-exposure image (e.g., still image). In various embodiments, the image exposure transformation network is trained using adversarial learning, long-exposure ground truth images, and a multi-term loss function. In some embodiments, the image exposure transformation network includes an optical flow prediction network and/or an appearance guided attention network. Trained embodiments of the image exposure transformation network generate realistic long-exposure images from single short-exposure images without additional information.

Abstract: In accordance with some embodiments, systems, methods, and media for motion adaptive imaging using single-photon image sensor data are provided. In some embodiments, the system comprises: an image sensor comprising single-photon detectors in an array; a processor programmed to: receive a sequence of photon frames, each comprising pixels having a value indicative of whether a photon was received during a frame period, each of the pixels corresponds to a pixel location; identify, for each of the pixel locations, changepoints, each indicative of a change in scene brightness; identify a photon frame in the sequence at which at least a threshold change in brightness has occurred based on the changepoints associated with each of the plurality of pixel locations; and generate a series of changepoint frames, wherein each changepoint frame is based on estimated brightness associated with each pixel location at a point in the sequence of photon frames.

Abstract: A method for processing interactive special effects for a video includes: acquiring a reference video containing a first special effect; acquiring a second special effect in interaction with the first special effect; and acquiring a video containing the second side effect by processing an image of the reference video according to the second special effect.

Abstract: Disclosed are a method and a system for enhancing sound and picture quality based on scene recognition, and a display. The method includes: recognizing a real scene reflected in a current screen of the display; calculating sound and picture quality enhancement parameters matching the real scene; and controlling the display to play sound and picture corresponding to the real scene according to best sound and picture quality corresponding to the sound and picture quality enhancement parameters.

Abstract: The description relates to cameras, such as security cameras, and providing guidance for positioning cameras to achieve desired goals. One example can receive an image of a scene overlaid with transparent indicators that reflect accuracy of object detection in individual regions of the image. The example can correlate input received from the user on the display relative to the regions. The example can analyze subsequent images of the scene with rules derived from the input from the user.

Abstract: According to various embodiments disclosed herein, an electronic device may include: a first housing; a second housing coupled to the first housing and configured to slide in a first direction or a second direction opposite the first direction with respect to the first housing between a first position at which at least a portion of the second housing is accommodated in the first housing and a second position at which the second housing protrudes from the first housing; an optical module comprising optical circuitry mounted on the second housing, the optical module configured to be rotated in response to sliding of the second housing to be disposed to face a rear side of the first housing at the first position and to face a front side of the first housing at the second position; and an elastic member comprising a flexible elastic material accommodated in the second housing and configured to provide an elastic force to the optical module.

Abstract: An information processing apparatus according to an embodiment of the present technology includes an acquisition unit and an execution unit. The acquisition unit acquires a plurality of estimation images captured from an identical spot under a plurality of exposure conditions different from each other, to estimate mobile object information including at least one of a location or a posture of a mobile object. The execution unit executes a process regarding estimation of the mobile object information on the basis of the plurality of acquired estimation images.

Abstract: Methods and apparatus provide for: capturing an image of a subject from a position; capturing a plurality of images of the subject from a plurality of further positions around the position such that the plurality of captured images of the subject are at least one of different in image quality and view angles than the image of the subject from the position; generating data to be output on a basis of the image captured from the position and the plurality of images captured from the plurality of further positions; synthesizing the image captured from the position and the plurality of images captured from the plurality of further positions; and changing a synthesis ratio according to an image synthesis position.

Abstract: The present disclosure relates to a signal processing device and an imaging device capable of improving an image quality of the imaging device that does not use an imaging lens. A signal processing device includes a restoration unit that restores one restored image by using a plurality of detection signal sets obtained by an imaging element in a plurality of states in which at least one of a position or orientation with respect to a subject is different, the imaging element that includes a plurality of pixel output units that receives incident light from the subject incident without an intervention of an imaging lens or a pinhole and each outputs one detection signal indicating an output pixel value modulated by an incident angle of the incident light, and outputs a detection signal set including a plurality of detection signals output from the plurality of pixel output units. The present disclosure is applicable to, for example, an imaging system that images using a plurality of imaging devices.

Abstract: An image processing apparatus obtains image data obtained by reading an original, specifies a type of the original using obtained image data, and displays, on a display unit, character strings used for a name of a file of the obtained image data, as selectable candidates of character strings. When a user selects a character string of the candidates of character strings among the candidates of character strings, the image processing apparatus sets the selected character string as a character string used for the name of the file of the image data. The candidates of the character strings displayed on the display unit are selected in accordance with the specified type of the original.

Abstract: Efficiency of work for laying out an object extracted from an image on another image is improved, and a burden on a user who performs the work is reduced. In S6, a second image attribute information extraction unit 15 extracts attribute information of a second image. In S7, a layout determination unit 16 determines a combining position of the object in the second image based on object attribute information, object surrounding attribute information, and second image attribute information. In S8, a correction unit 17 corrects at least one of the extracted object or the second image based on the object attribute information, the object surrounding attribute information, and the second image attribute information. In S9, the combining unit 18 creates a composite image obtained by combining the object (corrected object in a case where correction on object is performed) at a combining position of the second image (corrected second image in a case where correction on second image is performed).

Abstract: This application relates to an image processing method and apparatus, a facial recognition method and apparatus, a computer device, and a readable storage medium.

Abstract: An image processing apparatus includes processing circuitry. The processing circuitry is configured to detect a positional shift amount of each of a plurality of images; select a composite target image from the plurality of images based on the detected positional shift amount; and obtain a composite image based on the positional shift amount and the selected composite target image.

Abstract: A camera captures video imagery depicting a digitally-watermarked object. A reference signal in the watermark is used to discern the pose of the object relative to the camera, and this pose is used in affine-transforming and positioning a graphic on the imagery as an augmented reality overlay. Feature points are also discerned from the captured imagery, or recalled from a database indexed by the watermark. As the camera moves relative to the object, the augmented reality overlay tracks the changing object depiction, using these feature points. When feature point-based tracking fails, the watermark is again processed to determine pose, and the overlay presentation is updated accordingly. In another arrangement, feature points are extracted from images of supermarket objects captured by multiple users, and are compiled in a database in association with watermark data identifying the objects—serving as a crowd-sourced repository of feature point data.

Abstract: Provided is an information processing apparatus including an output control unit that controls output of an image performed by a display unit, the output control unit selecting an output image to be output by the display unit from among a plurality of candidate images based on calculated visibility of the candidate image. In addition, provided is an information processing method including causing a processor to control output of an image performed by a display unit, the control further including selecting an output image to be output by the display unit from among a plurality of candidate images based on the calculated visibility of the candidate image.

Abstract: One example method may include receiving a content capture action initiated from a mobile device, determining whether content capture devices are proximate to the mobile device, capturing content associated with a location of the mobile device based on one or more mobile device profile preferences, and responsive to capturing the content, updating a mobile device profile status.

Abstract: A computing device having a front-facing camera applies facial landmark detection and identifies eye regions in the digital image responsive to the front-facing camera capturing a digital image of an individual. For at least one of the eye regions, the computing device is further configured to extract attributes of the eye region, determine an eye gaze score based on the extracted attributes, generate a modified eye region based on the eye gaze score, and output a modified digital image with the modified eye region.

Abstract: An image capture apparatus comprising an image sensor is disclosed. When an instruction to shoot a still image has been detected when executing a live view display, the image capture apparatus shoots the still image preferentially, while repeatedly displaying a same image during a period in which the live view display cannot be updated. The image capture apparatus reduces a luminance and/or changes a tone of the image that is repeatedly displayed.

Abstract: An image processing apparatus, comprises a recording control unit configured to perform control to, when extracting a frame from a RAW file in which RAW data of a plurality of frames is recorded and recording the extracted frame as a RAW still image file, record RAW data of the extracted frame and information indicating that predetermined image processing has been applied to the RAW data into the RAW still image file.

Abstract: A method for adjusting image exposure includes, while continuously tracking one or more targets using an imaging device mounted on a movable object, receiving a user indication of a target for imaging, determining a first representation of the target, capturing a first image that includes the first representation of the target, determining an exposure parameter for the imaging device using data in the first image that corresponds to the first representation of the target, determining a second representation of the target, capturing a second image including the second representation of the target, and adjusting the exposure parameter for the imaging device using data in the second image that corresponds to the second representation of the target.

Abstract: An image pickup apparatus that is capable of obtaining a composite image having a sufficient desired effect without considering the required number of pickup images by a user. An obtaining unit obtains an image pickup condition of an object. A determination unit determines a termination condition according to the image pickup condition. An image pickup unit picks up an image of the object. An image composition unit generates a composite image of a series of every image of the object picked up by the image pickup unit whenever any image of the object is picked up by the image pickup unit. A feature-amount calculation unit calculates a feature amount of the composite image whenever the composite image concerned is generated. An output unit outputs the composite image as a final composite image of which the feature amount calculated by the feature-amount calculation unit satisfies the termination condition.

Abstract: The disclosed computer-implemented method includes determining that an image is to be blurred. The image has multiple pixels arranged along horizontal and/or vertical axes. The method next includes identifying a boundary size for a sliding window within which pixel values are to be sampled from the image and sampling, from pixels that lie on an axis that is diagonal relative to the horizontal/vertical axis of the image, various pixel values from within the boundary of the sliding window. The pixels sampled along the diagonal angle within the sliding window are selected according to a specified noise pattern. The method further includes performing an initial convolution pass on the pixels surrounding the sampled pixels to blur at least some of the pixels surrounding the sampled pixels, and then presenting the blurred image. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A display device and a control circuit thereof are provided. The display device includes: a display panel that is foldable and a housing that is foldable and used for supporting the display panel. The display panel has a folding axis and is divided into a first display area and a second display area along the folding axis; the first display area and the second display area partially overlap in a case where the display panel is in a folded state along the folding axis, and the second display area comprises a non-overlapping portion that does not overlap the first display area; and a component is provided at a position of the housing supporting the non-overlapping portion.

Abstract: An imaging device includes an optical system, a plurality of imaging elements, an imaging unit, a comparison unit, and a correction unit. The optical system is configured to disperse light of a subject image. The imaging elements are configured to capture subject images dispersed by the optical system using a rolling shutter method. The imaging unit is configured to shift a slit range, which is between a front curtain and a rear curtain of the rolling shutter method, by at least one line in a sub-scanning direction between the plurality of imaging elements. The comparison unit is configured to calculate a level difference in units of lines between image signals output by the plurality of imaging elements by comparing signal levels of the image signals, and the correction unit configured to correct influence of a flash band on the image signals on the basis of the level difference.

Abstract: In an image pickup apparatus that can change an in-focus range by driving an aperture stop and changing a tilt angle, the in-focus range can be easily changed. A control apparatus of an image pickup apparatus includes a tilt changing unit that changes a tilt angle that is a relative angle between a lens and an image pickup element and an aperture driving unit that drives an aperture stop. The control apparatus comprises a request unit configured to request the image pickup apparatus to provide any one of at least the tilt angle, an aperture value, and a focus position; and a display controller configured to display an in-focus range of the image pickup apparatus on a display unit, wherein the display controller changes a content to be displayed on the display unit based on the information acquired by the request unit.

Abstract: The present disclosure relates to a video processing method and apparatus, and a storage medium. The method is applied to a terminal and includes: a background frame for a time static special effect is determined from video frames in a video to be processed; for each of the video frames in the video, an image area, where a target object is located is acquired from the respective video frame and the image area is fused into the background frame to generate a special effect frame with the time static special effect.

Abstract: A camera array for a mediated-reality system includes a plurality of hexagonal cells arranged in a honeycomb pattern in which a pair of inner cells include respective edges adjacent to each other and a pair of outer cells are separated from each other by the inner cells. A plurality of cameras are mounted within each of the plurality of hexagonal cells. The plurality of cameras include at least one camera of a first type and at least one camera of a second type. The camera of the first type may have a longer focal length than the camera of the second type.

Abstract: An electronic device is disclosed that includes a display; a camera module; a communication module; and a processor. The processor can be set to use the communication module to obtain, from an external device, a plurality of images corresponding to a plurality of contents and data relating to at least part of the plurality of contents, and display, through the display, an image obtained using the camera module; display at least part of the plurality of images on a designated area on the display while displaying the image obtained using the camera module; and when an input associated with a first image from among the at least part of the plurality of images, use the data to display a graphic image on an area corresponding to a selected object included in the image obtained using the camera module.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a multi-resolution image. The methods, systems, and apparatus include actions of obtaining an image, sectioning the image into unscaled sections and sections to downscale, generating downscaled sections from the sections to downscale, providing the unscaled sections and the downscaled sections to a server.

Abstract: A device includes an acquiring unit acquiring a plurality of images including a first image, a second image, and a third image; a region detecting unit comparing pixel values of the first image and the third image to detect a moving object region; and a compositing unit generating a composite image by synthesizing a target image selected from a plurality of images and the second image wherein the compositing unit performs a ghost removing process for pixels of the target image corresponding to the moving object region and pixels of the second image corresponding to the moving object region to bring the pixel values of one of these images closer to the pixel values of the other image, and synthesizes the target image and the second image after the ghost removing process.

Abstract: A video production method and apparatus, a storage medium, and a computer device are disclosed. The method includes: receiving a follow-shot instruction in a case that reference video content is played on a video play interface, the follow-shot instruction including a reference video identifier; displaying a first video display region and a second video display region on a terminal screen; playing the reference video content in the first video display region, and recording displayed real-time video content in the second video display region; and generating a target video based on the recorded real-time video content and the reference video content. The first video display region and the second video display region are displayed on the terminal screen, the reference video content is played in the first video display region, and the displayed real-time video content is recorded in the second video display region.

Abstract: A state of a display rack is evaluated accurately. An image processing device includes a detection unit configured to detect a change area related to a display rack from a captured image in which an image of the display rack is captured, a classification unit configured to classify a change related to the display rack in the change area, and an evaluation unit configured to evaluate a display state of goods, based on a classification result.

Abstract: Disclosed are an electronic device performing an audio zoom based on speaker detection using lip reading and a method for controlling the electronic device. According to an embodiment, the electronic device detects a direction of a sound source while recording a video and determines a speaker's direction via facial recognition and mouth shape recognition in the sound source direction. Microphone beamforming may be performed based on the speaker's direction. Thus, the accuracy of audio zoom may be enhanced.