Abstract: Methods, systems, and storage media for dynamically identifying visual media capture formats based upon at least one of capture device, resultant visual medium, and/or application-supported conditions are disclosed. Exemplary implementations may: query a visual media capture device for at least a portion of the device-supported visual media capture formats; receive information regarding one or more capture device, resultant visual medium, and/or application-supported conditions relevant to capture of a resultant visual medium; execute an ordered plurality of rules to dynamically identify one or more device-supported visual media capture formats of the device-supported visual media capture formats that is configured to optimize the resultant visual medium; and cause the visual media capture device to initiate capture of the resultant visual medium using one of the identified device-supported visual media capture formats.

Abstract: In an embodiment, a computer-implemented method includes: causing a camera module to capture a plurality of frame portions with an exposure time at a sampling clock period. The frame portions correspondingly reflect a predetermined number of first signal pulses periodically generated by a light source. The exposure time corresponds to a duration of one of the predetermined number of first signal pulses. A first data sequence is encoded into the first signal pulses. The sampling clock period is different from a duration of the first data sequence such that a second data sequence is obtained from cycling through all of the first data sequence.

Abstract: Various systems and methods for an all-in-focus implementation are described herein. A system to for operating a camera, comprising an image sensor in the camera to capture a sequence of images in different focal planes, at least a portion of the sequence of images occurring before receiving a signal to store an all-in-focus image, a user interface module to receive, from a user, the signal to store an all-in-focus image, and an image processor to fuse at least two images to result in the all-in-focus image, wherein the at least two images have different focal planes.

Abstract: Adaptive control systems using augmented and virtual reality systems chimerically integrated with Artificial Intelligence and the like Homunculi fix vision issues with data based and user tuned solutions in real time.

Abstract: A motion detecting section detects a change in relative position relation between a subject and an image capturing section performing a rolling shutter operation. A thinning-out setting section sets a thinning-out amount of a line thinning-out operation of the image capturing section according to the detection result obtained by the motion detecting section. A recognition processing section performs subject recognition in an image obtained by the image capturing section, by using a recognizer corresponding to the thinning-out amount set by the thinning-out setting section. The change in relative position relation is detected based on motion of a moving body on which the image capturing section is mounted, an image capturing scene, an image obtained by the image capturing section, and the like. Line thinning-out is performed during the rolling shutter operation, and the thinning-out amount is set according to the detection result obtained by the motion detecting section.

Abstract: An electronic apparatus is provided. The electronic apparatus includes: a camera; a processor configured to control the camera; and a memory configured to be electrically connected to the processor and to store a network model trained to determine a degree of matching between an input image frame and predetermined feature information, wherein the memory stores at least one instruction, and wherein the processor is configured, by executing the at least one instruction, to: identify a representative image frame based on a degree of matching obtained by applying image frames, selected from among a plurality of image frames, to the trained network model, while the plurality of image frames are captured through the camera, identify a best image frame based on a degree of matching obtained by applying image frames within a specific section including the identified representative image frame, to the trained network model, from among the plurality of image frames, and provide the identified best image frame.

Abstract: An imaging apparatus including: an image sensor having a photo-sensitive surface; an optical device arranged on an optical path of light incidenting on the photo-sensitive surface, the optical device being electrically controllable to have a spatially variable focal length; and a processor configured to: generate and send a drive signal to the optical device to compensate for field curvature of optical device by adjusting focal lengths of different portions of the optical device to different extents, wherein a focal length of a first portion of the optical device is higher than a focal length of a second portion of the optical device surrounding the first portion; and control the image sensor to capture a distorted image of a real-world environment.

Abstract: A photoelectric conversion apparatus includes an effective pixel circuit, a reference pixel circuit, a signal output unit, and a comparison unit. The effective pixel circuit includes a photoelectric conversion unit, and is configured to be controlled by using a control line and to output a digital signal based on electric charges generated by the photoelectric conversion unit. The reference pixel circuit includes a holding unit for holding the digital signal. The reference pixel circuit is configured to be controlled by using the control line together with the effective pixel circuit. The signal output unit is configured to output a signal to the holding unit so that a first digital signal with a predetermined value is held by the holding unit. The comparison unit is configured to compare the first signal with the digital signal output from the holding unit controlled to hold the first digital signal.

Abstract: Provided is a display apparatus including: a display module; a housing accommodating the display module; a transparent substrate disposed on a front surface of the display module and installed in the housing; a transmitter disposed on one end of the transparent substrate and generating light; a receiver installed on the other end of the transparent substrate to face the transmitter in a first direction, and receiving the light emitted from the transmitter; and a receiver installed on the other end of the transparent substrate to face the transmitter in a first direction, and receiving the light emitted from the transmitter; and a control unit driving the display module, and determining whether the transparent substrate is damaged based on a signal received from the receiver.

Abstract: Systems and methods for capturing one or more images include a smart capture mode for detecting one or more reflective objects in an image to be captured by a device, and determining whether a display provided in the device will cause a disturbance when the image is captured, the disturbance based on one or more reflections of the display on the one or more reflective objects. A brightness of the display is adjusted prior to capturing the image based on determining that the display will cause the disturbance, where adjusting the brightness of the display reduces the disturbance in the image when the image is captured. The brightness of the display can be adjusted by dimming or turning off the display. The display can be returned to a previous state upon capturing the image, the previous state being prior to the brightness of the display being adjusted.

Abstract: An imaging control method is provided. The method may include obtaining a current image generated based on an exposure parameter, wherein the current image includes a plurality of pixels; determining a plurality of target pixels or target pixel groups from at least portion of the plurality of pixels; determining a statistic representation based on target pixels or target pixel groups; determining a characteristic feature based on the statistic representation; and, updating the exposure parameter, based on the characteristic feature, to generate an updated image.

Abstract: An imaging device includes: a first image sensor comprising first pixels that receive incident light, and that include a first and second photoelectric conversion units that are arranged in a first direction; and a second image sensor including second pixels that receive light that has passed through the first image sensor, and that include a third and fourth photoelectric conversion units that are arranged in a second direction that is different from the first direction.

Abstract: Image sensing devices are disclosed. An image sensing device includes a first pixel group including a plurality of first image sensing pixels to convert light into electrical charges and a first conversion gain transistor coupled to the plurality of first image sensing pixels, a second pixel group including a plurality of second image sensing pixels to convert light into electrical charges and a second conversion gain transistor coupled to the plurality of second image sensing pixels, the second pixel group disposed adjacent to the first pixel group, and a conversion gain capacitor to electrically couple the first conversion gain transistor to the second conversion gain transistor to provide a capacitance to the first and second image sensing pixels. The conversion gain capacitor comprises a first conductive line to include a region having a ring type shape and a second conductive line disposed adjacent to the first conductive line.

Abstract: A method for external fish parasite monitoring in aquaculture, comprising the steps of: —submerging a camera (52) in a sea pen containing fish, the camera having a field of view; —capturing images of the fish with the camera (52); and—identifying external fish parasite on the fish by analyzing the captured images, characterized in that a target region within the field of view of the camera (52) is illuminated from above and below with light of different intensities and/or spectral compositions.

Abstract: An image processing apparatus comprises a processing unit configured to provide an image containing a first object and a second object, with a lighting effect from a virtual light source, a setting unit configured to set a parameter of the virtual light source; and a designating unit configured to designate the first object and/or the second object, based on a user's operation, wherein, in a case in which the designating unit has designated at least one of the first object and the second object, the first object and the second object are provided with an effect of virtual light from a same direction, and in a case in which the designating means has not designated any object, the first object and the second object are provided with an effect of virtual light from different directions.

Abstract: A solid-state imaging device capable of suppressing variations in reference voltages and improving performance of reference voltages is provided. According to one embodiment, the solid-state imaging device includes a pixel outputting a luminance signal voltage corresponding to an amount of incident light, reference voltages, a reference voltage generation circuit outputting a ramp signal and an inverse ramp signal, and an AD converter, and the AD converter includes a comparator including an amplifier coupled to one input terminal, a reference voltage and an input terminal coupled to each of the ramp signals via a capacitor, and an input terminal coupled to each of the reference voltage and the ramp signal via a capacitor, and a ramp current cancel circuit coupled to each of the reference voltages via a cancel capacitor.

Abstract: A solid-state imaging apparatus according to an embodiment of the present disclosure includes a photoelectric transducer, a transfer transistor, a floating diffusion, a reset transistor, an amplifier transistor, and a selection transistor. The reset transistor includes a gate insulating film formed thinner than the gate insulating film of the transfer transistor.

Abstract: An imaging element incorporates a reading portion that reads out captured image data at a first frame rate, a storage portion that stores the image data, a processing portion that processes the image data, and an output portion that outputs the processed image data at a second frame rate lower than the first frame rate. The reading portion reads out the image data of each of a plurality of frames in parallel. The storage portion stores, in parallel, each image data read out in parallel by the reading portion. The processing portion performs generation processing of generating output image data of one frame using the image data of each of the plurality of frames stored in the storage portion.

Abstract: Embodiments of the present disclosure relate to intelligent photography with machine learning. Embodiments include receiving a video stream from a control camera. Embodiments include providing inputs to a trained machine learning model based on the video stream. Embodiments include determining, based on data output by the trained machine learning model in response to the inputs, at least a first time for capturing a first picture during a session. Embodiments include programmatically instructing a first camera to capture the first picture at the first time during the session.

Abstract: An imaging device is provided in which a shield wiring is arranged between signal lines of a first set out of a plurality of signal lines, and, in which signal lines of a second set out of a plurality of signal lines are adjacent to each other.