Abstract: Electronic equipment includes an obtaining unit configured to obtain a third image in which a first image captured via a first optical system and a second image captured via a second optical system are arranged side by side, the second image having parallax with the first image and a setting unit configured to set, in the third image, a target area to which predetermined processing is to be applied, based on a user operation. The setting unit is configured to set the target area in such a manner that the item indicating the target area includes either one of the first image and the second image.

Abstract: An electronic device is provided. The electronic device includes a camera, a display, a processor electrically coupled with the camera and the display, and a memory electrically coupled with the processor. The memory is configured to store instructions which, when executed, instruct the processor to, when a photographing request signal is received, estimate a motion of a subject within an image that is acquired by the camera, when the motion of the subject within the image acquired by the camera is not recognized, control the camera to capture a first type image by applying a first photographing condition, and when the motion of the subject within the image acquired by the camera is recognized, control the camera to capture a second type image by applying a second photographing condition.

Abstract: The present disclosure relates to a camera module (400). The camera module comprises a 3D modelling device (302) for obtaining respective distances to a plurality of adjacent parts of a surface of a body. The camera module also comprises a camera arrangement for acquiring images of the parts of the surface, wherein the camera arrangement comprises at least one camera (306; 310). Said camera comprises a camera sensor for producing said images, a focusing lens for focusing light reflected on the surface of the body onto the camera sensor, and a movable mirror for sequentially directing light from each of said parts of the surface into the focusing lens. The camera module also comprises a housing (401) enclosing both the 3D modelling device and the camera arrangement. The focusing lens is automatically controllable to set a focus of the camera based on the obtained distances.

Abstract: Indirect time-of-flight (i-ToF) image sensor pixels, i-ToF image sensors including such pixels, stereo cameras including such image sensors, and sensing methods to obtain i-ToF detection and phase detection information using such image sensors and stereo cameras. An i-ToF image sensor pixel may comprise a plurality of sub-pixels, each sub-pixel including a photodiode, a single microlens covering the plurality of sub-pixels and a read-out circuit for extracting i-ToF phase signals of each sub-pixel individually.

Abstract: An image encoding/decoding method and apparatus is provided. The image decoding method comprises obtaining, from a bitstream, a first flag specifying whether sublayer level information is present for each of one or more sublayers in a current layer, and obtaining, from the bitstream, the sublayer level information based on the first flag. The first flag may be obtained in a descending order of temporal identifier values for the one or more sublayers.

Abstract: The present disclosure relates to an image processing apparatus and an image processing method capable of suppressing a deterioration in image quality. The image processing apparatus includes a threshold value setting unit which sets a threshold value for identifying a feature of neighboring pixels of a current block in an intra prediction process in encoding of image data according to a bit depth of the image data and a filtering processing unit which performs a filtering process on the neighboring pixels by using a filter according to the feature of the neighboring pixels identified by using the threshold value set by the threshold value setting unit. The present disclosure may be applied to, for example, an image processing apparatus.

Abstract: The present disclosure relates to a multi-view virtual display signal processing method and system, a computer readable storage medium, and an electronic device. The multi-view virtual display signal processing method comprises: in a state that at least two view signals of a predetermined frequency are received, synchronously processing the at least two view signals to form a multi-view video signal and a multi-channel audio signal, and outputting the two signals (S110); and forming, according to the multi-view video signal, a first-type control signal matching the multi-view video signal and outputting the first-type control signal (S120).

Abstract: A display device includes a display panel that includes a plurality of sub-pixels in a display area, an optical member attached to the display panel and that includes stereoscopic lenses, and a display driver that receives information on relative positions of the sub-pixels for each stereoscopic lens of the optical member from an optical member bonding apparatus, and corrects image data based on the relative positions of the sub-pixels so that 3D images are displayed in a display area of the display panel.

Abstract: An electronic device may include a lenticular display. The lenticular display may have a lenticular lens film formed over an array of pixels. The lenticular lenses may be configured to enable stereoscopic viewing of the display such that a viewer perceives three-dimensional images. The display may have a number of independently controllable viewing zones. A eye and/or head tracking system may use a camera to capture images of a viewer of the display. Control circuitry in the electronic device may use the captured images from the eye and/or head tracking system to determine which viewing zones are occupied by the viewer's eyes. The control circuitry may disable or dim viewing zones that are not occupied by the viewer's eyes in order to conserve power. An unoccupied viewing zone and an adjacent, occupied viewing zone may display the same image to increase sharpness in the display.

Abstract: Provided is an image processing method to efficiently acquire data from an artificial satellite. A ground system includes an image processing unit that requests transmission of additional data related to partial data from an artificial satellite to a ground station, on the basis of an analysis result of the partial data of a satellite image captured by the artificial satellite.

Abstract: There is provided a computer-implemented method for learned video compression, which includes processing a current frame (xt) and previously decoded frame ({circumflex over (x)}t-1) of a video data using a motion estimation model to estimate a motion vector (vt) for every pixel, compressing the motion vector (vt) and reconstructing the motion vector (vt) to a reconstructed motion vector ({circumflex over (v)}t), applying an enhanced context mining (ECM) model to obtain enhanced context ({umlaut over (C)}E) from the reconstructed motion vector ({circumflex over (v)}t) and previously decoded frame feature (x?t-1), compressing the current frame (xt) with the assistance of the enhanced context ({umlaut over (C)}E) to obtain a reconstructed frame ({circumflex over (x)}?t), and providing the reconstructed frame ({circumflex over (x)}?t) to a post-enhancement backend network to obtain a high-resolution frame ({circumflex over (x)}t).

Abstract: Disclosed are a video signal processing method and device for encoding or decoding a video signal. The video signal processing method and the video signal processing method may include inducing a chroma intra prediction mode applied to a current chroma block based on a luma intra prediction mode of a luma block corresponding to the current chroma block, generating a chroma prediction sample of the current chroma block based on the chroma intra prediction mode, and restoring the current chroma block based on the chroma prediction sample.

Abstract: A corner marking method, a parameter calibration method, and an electronic device are provided. The corner marking method includes: acquiring a target image, the target image including at least a portion of a target chessboard; detecting corners in the target image; performing a chessboard reconstruction based on detected corners to acquire a reconstructed chessboard; if the reconstructed chessboard contains one or more of tagging squares, acquiring one of the tagging squares of the reconstructed chessboard as a reference square; acquiring an identification and orientation of the reference square based on a tag of the reference square; marking corners in the reconstructed chessboard based on the identification and orientation of the reference square. Even if the target image does not contain a complete target chessboard, the corner marking method described in the present disclosure is still capable of marking corners in the target image.

Abstract: An information processing apparatus (100) includes: a person detecting unit (102) that executes processing of detecting a person and a location with respect to each of a first image generated in a first camera (5a) and a second image generated in a second camera (5b); a coordinate generating unit (104) that generates coordinates of the location of the detected person; and a determination unit (106) that determines, by using a first location generated from the first image and a second location generated from the second image, whether the person detected from the first image and the person detected from the second image are the same person.

Abstract: An image decoding device includes a quantization parameter deriving unit configured to correct a value of a decoded quantization parameter of a target block depending on whether or not adaptive color transform has been applied to the target block, and then set, as the quantization parameter of the target block, the larger of the corrected value of the quantization parameter and a predetermined value of “0” or more.

Abstract: A security camera includes an image capture sensor and one or more motors for achieving a pan and/or tilt operation of the image capture sensor. A gyroscope sensor senses angular speed of the image capture sensor. A memory stores calibration data that includes an indication of the angular speed of the image capture sensor sensed by the gyroscope sensor while performing a pan and/or tilt operation of the image capture sensor. A controller is configured to subsequently compare the angular speed of the image capture sensor while performing a pan and/or tilt operation of the image capture sensor with the calibration data to identify a drift in the angular speed of the image capture sensor while performing a pan and/or tilt operation of the image capture sensor over time. The controller is configured to compensate for the drift during subsequent pan and/or tilt operations.

Abstract: According to the disclosure of the present document, an image decoding method performed by a decoding device comprises the steps of: acquiring, through a bitstream, image information including prediction mode information and residual information; deriving a prediction mode of a current block on the basis of the prediction mode information; deriving prediction samples on the basis of the prediction mode; deriving residual samples on the basis of the residual information; generating reconstruction samples on the basis of the prediction samples and the residual samples; deriving filter coefficients for an adaptive loop filter (ALF) procedure for the reconstruction samples; and generating modified reconstruction samples on the basis of the reconstruction samples and the filter coefficients, wherein the image information includes a first adaptation parameter set (APS) including an ALF data field, and the ALF data field includes ALF parameters used to derive the filter coefficients.

Abstract: The present invention is related to processing a video signal. A method for decoding a video according to the present invention may comprise checking a merge coding unit which is generated by merging a plurality of coding units neighboring each other based on an encoded syntax element, and decoding the checked merge coding unit, wherein a same motion vector is shared in the merge coding unit.

Abstract: The present teaching relates to dynamic content delivery. A changing field of view of a viewer is detected based on sensor data capturing information of the viewer at a source location, where the viewer is consuming content of a program on a first content display device. A pose of a second content display medium is determined based on the changing field of the view, where the second content display medium is to be used to display content to the viewer within the changing field of view. A content delivery mechanism is configured with respect to the pose of the second content display medium on which the content of the program is delivered to the viewer within the changing field of view of the viewer.

Abstract: An electronic device includes at least one memory storing instructions; and at least one processor which, upon execution of the instructions, configures the at least one processor to function as: an estimation unit configured to estimate a gaze area of a user; and a selection unit configured to select a selection area from one or more candidate areas based on the gaze area.