Abstract: Disclosed are methods and apparatuses for decoding an image. A method includes receiving a bitstream obtained by encoding the image; dividing a first coding block into a plurality of second coding blocks; generating a prediction block of a second coding block based on syntax information obtained from the bitstream; and reconstructing the second coding block based on the prediction block and a residual block of the second coding block, the residual block being obtained by performing a dequantization and an inverse-transform on quantized transform coefficients from the bitstream. The first coding block has a recursive division structure. The first coding block is divided based on at least one of a quad tree division, a binary tree division or a triple tree division.

Abstract: A computer implemented method, system and computer program product are provided that receive video feeds from corresponding cameras distributed at different positions and orientations throughout a physical environment, and obtain location data associated with the cameras. The location data is indicative of at least one of the position or orientation for the corresponding camera. The method, system and computer program product identify, from the multiple cameras, a camera combination that includes first and second cameras that have overlapping fields of view (FOV) based on the location data and form a panoramic video of at least a portion of the environment by combining the content from the first and second cameras identified based on the location data.

Abstract: Systems and techniques are described for large field of view imaging. A device's first image sensor captures a first image based on first light from a scene redirected by a light redirection element (e.g., a first prism and/or first reflective surface), and the device's second image sensor captures a second image based on second light from the scene redirected by the light redirection element (e.g., a second prism and/or second reflective surface). The device can modify the first image and/or second image using perspective distortion correction and/or to align one or more properties of two respective depictions of a shared portion of a scene in the two images. The one or more properties can include brightness, contrast, positioning, sharpness, tint, hue, and/or saturation. The device can generate a combined image with a large field of view and smooth transitions by combining the first image and the second image.

Abstract: Augmented reality systems provide graphics over views from a mobile device for both in-venue and remote viewing of a sporting or other event. A server system can provide a transformation between the coordinate system of a mobile device (smart phone, tablet computer, head mounted display) and a real world coordinate system. Requested graphics for the event are displayed over a view of an event.

Abstract: Apparatus and methods for the stitch zone calculation of a generated projection of a spherical image. In one embodiment, a non-transitory computer-readable apparatus comprising a storage apparatus, the storage apparatus comprising instructions configured to, when executed by a processor apparatus, cause a computerized apparatus to identify a stitch line associated with an equatorial area of a plurality of spherical images; re-orient the plurality of spherical images in accordance with the stitch line; and project the re-oriented plurality of spherical images to a selected image projection type.

Abstract: A picture shooting method and an electronic device are disclosed. The method includes: starting an under-display camera when a first picture is moved to a first region, where the first region is a screen region corresponding to a position of the under-display camera. In embodiments of this application, a user can start the under-display camera by performing a simple operation of moving a picture, which is flexible and convenient.

Abstract: A surround-view imaging system for 3D imaging of a surrounding of the system which avoid saturation and overexposure of an associated image detector, comprising an imager and an illuminator. The illuminator and the imager are arranged one over another and separated from one another by a distance to form an intermediate region which is neither in the field of view of the illuminator nor in the field of view of the imager, and corresponding imager for such surround-view imaging system.

Abstract: A panoramic camera is provided with an orientation sensor to record orientation along with a panoramic image. The display or print image is selected from the captured panoramic image, a warped, non-scale-correct image. The selection of the display image is done using the orientation sensor. The orientation sensor data can be recorded with the panoramic image as metadata. The orientation sensor can also be used to control an external display and/or panoramic image selection during browsing.

Abstract: A pair of eyeglasses may include one or more adjustable lenses that are each configured to align with a respective one of a user's eyes. The adjustable lenses may each include electrically modulated optical material such as one or more liquid crystal cells. The liquid crystal cells may include arrays of electrodes that extend along one, two, three, four, or more than four directions. Control circuitry may apply control signals to the array of electrodes in each liquid crystal cell to produce a desired phase profile. Each lens may be foveated such that portions of the lens within the user's gaze exhibit a different phase profile than portions of the lens outside of the user's gaze. The control circuitry may adjust the location of the optically distinct area so that it remains aligned with the user's gaze.

Abstract: A display device includes an acquisition unit configured to acquire moving image data acquired by adding information of a cutout area of a moving image set on the basis of a face direction of a user capturing the moving image to the moving image; a display control unit configured to display a frame representing the cutout area when the moving image data is reproduced; an acceptance unit configured to accept an operation for the frame for correcting the cutout area; a correction unit configured to add correction information of the cutout area corrected by the operation to the moving image data; and a generation unit configured to generate a cutout moving image from the moving image on the basis of the information of the cutout area and the correction information.

Abstract: Devices and techniques are generally described for three dimensional room modeling. In various examples, a three-dimensional (3D) room model comprising at least a first wall and a floor may be received. A first sphere sized and shaped such that the 3D room model fits within the first sphere may be determined and a virtual camera may be positioned on the first sphere at a first position. A first command may be received to move the virtual camera in a first direction. The virtual camera may be translated in the first direction along a surface of the first sphere to a second position. A view of the interior of the 3D room model may be displayed from a second viewpoint of the virtual camera at the second position.

Abstract: A method for detecting and counting pedestrians in real-time for statistical purposes together with facial recognition of such pedestrians acquires video for analysis. Images showing pedestrians are extracted, such pedestrians being identified by a first detection model and pedestrian frames are outputted. A facial identification operation is executed based on the pedestrian frames and facial sub-frames are extracted. Removal of duplications of individual pedestrians in the images in the facial sub-frames is executed by a second detection model. Path of movement of detected pedestrians is tracked and labeled based on a specified algorithm when the faces of individual pedestrians are not recorded in a database. When the path of movement passes through a specified location, the face-imaged pedestrian is considered a target object, a total number of the target objects is counted. An apparatus applying the method is also disclosed.

Abstract: An assembly for an aircraft propulsion system includes a propulsor and an imaging assembly. The propulsor includes a propulsor disk, a plurality of propulsor blades, and a nose cone. The plurality of propulsor blades are circumferentially distributed about the propulsor disk. Each propulsor blade of the plurality of propulsor blades extends radially between and to a root end and a tip end. The root end is disposed at the propulsor disk. The propulsor disk and the plurality of propulsor blades are configured to rotate about the rotational axis. The nose cone is disposed axially adjacent the propulsor disk. The imaging assembly includes an imaging device disposed on the nose cone. The imaging device includes a camera. The camera is configured to capture image data of each propulsor blade of the plurality of propulsor blades as the plurality of propulsor blades rotate about the rotational axis.

Abstract: A content generation method generates image content to be projected at a projection position in a real space by a projector. In a first acquisition process, space information regarding a virtual space corresponding to the real space is acquired. In a second acquisition process, display position information regarding a display position corresponding to the projection position in the virtual space is acquired. In a third acquisition process, reference position information regarding a reference position in the virtual space is acquired. In a generation process, an image including an object viewed from the reference position when the object is displayed at the display position in the virtual space is generated as the image content, based on the space information, the reference position information, and the display position information.

Abstract: A system includes a video device for capturing, at a viewing time, a first video image corresponding to a foundation scene at a setting, the foundation scene viewed at the viewing time from a vantage position. A memory stores a library of image data including media generated at a time prior to the viewing time. A vantage position monitor tracks the vantage position and generating vantage position of a human viewer. A digital video data controller selects from the image data in the library, at the viewing time and based on the vantage position data, a plurality of second images corresponding to a modifying scene at the setting, the modifying scene further corresponding to the vantage position. A combiner combines the first video image and the plurality of second images to create a composite image for display.

Abstract: An acoustic analysis system includes an acoustic sensor array that receives acoustic signals from a target scene and outputs acoustic data based on the one or more acoustic signals. A processor receives a first set of acoustic data representing a first portion of the target scene and having a first field of view (FOV), generates a first acoustic image based on the first set of acoustic data, receives a second set of acoustic data representing a second portion of the target scene and having a second FOV, wherein the second FOV is different than the first FOV, generates a second acoustic image based on the second set of acoustic data, registers the first acoustic image and the second acoustic image to form an aligned first acoustic image and second acoustic image, and generate a panorama comprising the aligned first acoustic image and second acoustic image for presentation on a display.

Abstract: A system includes a three-dimensional (3D) scanner that captures a 3D point cloud corresponding to one or more objects in a surrounding environment. The system further includes a camera that captures a control image by capturing a plurality of images of the surrounding environment, and an auxiliary camera configured to capture an ultrawide-angle image of the surrounding environment. One or more processors of the system colorize the 3D point cloud using the ultrawide-angle image by mapping the ultrawide-angle image to the 3D point cloud. The system performs a limited system calibration before colorizing each 3D point cloud, and a periodic full system calibration before/after a plurality of 3D point clouds are colorized.

Abstract: A method that includes obtaining a first image from a first camera disposed on a vehicle and generating a birds-eye view (BEV) image using the first image. The method further includes processing, with a machine-learned model, the BEV image to produce parking slot prediction data. The parking slot prediction data includes a first center coordinate for a first available parking slot, a first parking slot confidence, and a first corner displacement data. The first corner displacement data includes a first relative coordinate pair that locates a first corner relative to the first center coordinate and a second relative coordinate pair that locates a second corner relative to the first center coordinate. The method further includes determining a first location of the first available parking slot using the parking slot prediction data and parking the vehicle in the first available parking slot when the first parking slot confidence meets a threshold.

Abstract: Many embodiments can comprise a system. The system can comprise a processor and a memory coupled to the processor. The memory can include instructions that, when executed by the processor, cause the processor to: determine a direction of gravity in each image of a sequence of images around an object; estimate a center of mass of the object in each image of the sequence of images using the direction of gravity and dimensions of the object; stabilize each image in the sequence of images using the center of mass; and generate a 360 degree display of the object using each image in the stabilized sequence of images. Other embodiments are disclosed herein.

Abstract: Disclosed are methods and apparatuses for decoding an image. A method includes receiving a bitstream obtained by encoding the image; dividing a first coding block into a plurality of second coding blocks; generating a prediction block of a second coding block based on syntax information obtained from the bitstream; and reconstructing the second coding block based on the prediction block and a residual block of the second coding block, the residual block being obtained by performing a dequantization and an inverse-transform on quantized transform coefficients from the bitstream. The first coding block has a recursive division structure. The first coding block is divided based on at least one of a quad tree division, a binary tree division or a triple tree division.

Abstract: Systems and methods for obtaining a seamless, smooth transition between a Wide field of view (FOV) camera and a scanning Tele camera by correcting prism aberrations, matching Tele and Wide FOVs, localizing the associated Tele FOV, and zooming a Wide frame towards the localized Tele FOV.

Abstract: A method of decoding an image, includes obtaining at least one offset for a picture, deriving a variable for scaling for the picture based on the at least one offset, and performing inter prediction based on the variable for scaling for the picture. The at least one offset is defined with a direction of scaling.

Abstract: A traffic monitoring system includes a storage device that stores a program and a hardware processor, in which the hardware processor executes a program stored in the storage device, thereby acquiring a position of a mobile object based on information from a detection device for detecting the position of the mobile object, generating information on a density distribution in which index values having a distribution according to the position of the mobile object are superimposed on one another for a plurality of mobile objects, and predicting whether a target mobile object is likely to enter a gap between two of the mobile objects based on a temporal change in density value indicated by the information on a density distribution.

Abstract: A head-up display includes a picture generation unit and a first lens. The picture generation unit is configured to output a first light ray and a second light ray. The first light ray is used to output and display a first picture, and the second light ray is used to output and display a second picture. When the first lens is at the first position, the first light ray and the second light ray do not pass through the first lens. When the first lens is at the second position, the first light ray passes through the first lens. The head-up display can implement switching between a single image plane and a plurality of image planes.

Abstract: Provided is a method performed in a portable terminal mounted on a rotatable terminal cradle to generate a 360° captured image by controlling operations of the terminal cradle. The 360° captured image is used generate a virtual space corresponding to a captured real space. Communication is established with the terminal cradle; an image generation input is received from a user; a first captured image is generated by imaging in an imaging direction that the terminal faces; driving commands are transmitted to the terminal cradle to rotate the imaging direction of the terminal clockwise or counterclockwise; a second captured image is generated by imaging in the changed imaging direction when the terminal cradle rotates according to the driving command; and presence of a human object is determined by recognizing objects in the first and second captured images, and re-imaging is performed in the imaging direction when a human object is present.

Abstract: Methods and devices are provided for encoding, transmitting and decoding 3DoF+ volumetric video. At the encoding stage one input view (among all the input ones) is selected to convey the viewport dependent light effect and its id is transmitted to the decoder as an extra metadata. On the decoder side, when patches coming from this selected view are available for the rendering of the viewport, they are preferentially used regarding the other candidates whatever the view to synthesize position.

Abstract: Mobile handheld electronic devices such as smartphones, comprising a Wide camera for capturing Wide images with respective Wide fields of view (FOVW), a Tele camera for capturing Tele images with respective Tele fields of view (FOVT) smaller than FOVW, and a processor configured to stitch a plurality of Wide images into a panorama image with a field of view FOVP>FOVW and to pin a Tele image to a given location within the panorama image to obtain a smart panorama image.

Abstract: A method of transmitting video content by using an edge computing service (e.g., a multi-access edge computing (MEC) service) is provided. The method includes obtaining sensor information including orientation information and pupil position information from an electronic device connected to the edge data network, obtaining a first partial image including a user field-of-view image and an extra field-of-view image, the user field-of-view image corresponding to the orientation information, and the extra field-of-view image corresponding to the pupil position information, generating a first frame by encoding the first partial image, and transmitting the generated first frame to the electronic device.

Abstract: The disclosure herein provides systems and methods for linking database entries of a network platform. The network platform provides a plurality of pages each dedicated to an item and including details of the item. A user-uploaded content can be linked to two or more of such pages or items provided on the network platform such that a navigable path is created among such pages or items. The linked pages or items may include an intermediary page or content that is linked to each of such pages or items.

Abstract: A system for generating a 360-degree viewing experience may receive a plurality of images of an object from an image capture device, wherein each of the plurality of images corresponds to a different rotational orientation of the object relative to the image capture device. The system may detect, using a first machine learning model, the object in each of the plurality of images. The system may detect, using a second machine learning model, regions associated with identifiable object features in one or more images of the plurality of images. The system may assign feature metadata to the one or more images, the features metadata associated with one or more detected regions of the detected regions of the object in the one or more images. The system may publish, with an application programming interface, the plurality of images and the feature metadata for the 360-degree viewing experience.

Abstract: The disclosed subject matter is directed to employing machine learning models configured to predict 3D data from 2D images using deep learning techniques to derive 3D data for the 2D images. In some embodiments, a method is provided that comprises receiving, by a system comprising a processor, a panoramic image, and employing, by the system, a three-dimensional data from two-dimensional data (3D-from-2D) convolutional neural network model to derive three-dimensional data from the panoramic image, wherein the 3D-from-2D convolutional neural network model employs convolutional layers that wrap around the panoramic image as projected on a two-dimensional plane to facilitate deriving the three-dimensional data.

Abstract: The disclosure provides a method for improving brightness of mosaiced images, which comprises the following steps: determining a first common area shared by a first image to be mosaiced and a second image to be mosaiced, calculating color average values of the first image to be mosaiced and the second image to be mosaiced in the first common area respectively, determining a target average value of the first common area based on the two color average values, and determining an adjustment parameter of the first common area according to the target average value and the color average values; determining a second common area shared by the second image to be mosaiced and a third image to be mosaiced, calculating color average values of the second image to be mosaiced and the third image to be mosaiced in the second common area, determining a target average value of the second common area based on the two color average values, and determining an adjustment parameter of the second common area according to the target

Abstract: Disclosed is an image processing method including steps of obtaining a plurality of sets of training data, each set of training data containing data of first and second images, image quality of the second image being higher than that of the first image, shooting contents of the first image being the same model, letting the data of the first image be an input of the model, and utilizing the plurality of sets of training data to train the model until a difference feature value between an output of the model and the data of the second image is minimum; and inputting data of a third image to be processed into the model so as to output data of a fourth image after image enhancement, image quality of the fourth image being higher than that of the third image.

Abstract: A method of decoding an image, includes obtaining at least one offset for a picture, deriving a variable for scaling for the picture based on the at least one offset, and performing inter prediction based on the variable for scaling for the picture. The at least one offset is defined with a direction of scaling.

Abstract: A camera array system featuring a plurality of camera clusters attached to a plurality of multi-prong stabilized mounting plates arranged in a split-rig configuration, with the mounting plates configured for mounting the camera clusters onto a moving vehicle.

Abstract: A reality capture device configured to perform a measuring process for generating a digital representation of an environment comprising a body defining a first axis, and an imaging unit with one or more 2D cameras configured to provide 2D image data of the environment. The device comprises a ToF camera arrangement configured for capturing 3D point-cloud data of the environment and comprising at least two time-of-flight cameras, wherein each time-of-flight camera comprises a sensor array and one or more laser emitters, the sensor array of each of the time-of-flight cameras having an optical axis and being configured to receive reflections of light pulses emitted by the one or more laser emitters of the respective time-of-flight camera, the time-of-flight cameras being arranged around the first axis so that each sensor array has one or two other sensor arrays as a neighbouring sensor array.

Abstract: The present disclosure is related to improving image quality in a scanning camera system via scan angle selection to obtain images having overlap for performing image stitching, dynamically tuning an aperture of a camera in the scanning camera system, updating pixel values of an image using vignetting data, or a combination thereof.

Abstract: A medical apparatus and a method of manufacturing the medical apparatus, which have an advantage in cost performance, are provided even if optical fibers are used therein. The medical apparatus includes, therein, a first optical fiber 6322 configured to transmit an optical signal, a second optical fiber 651 configured to transmit an optical signal, and a first optical connector 66 configured to connect the first optical fiber 6322 and the second optical fiber 651.

Abstract: Provided are a method and device for video coding, video decoding and storage medium. The video coding method includes: classifying video frames into independent frames and dependent frames, which comprise a first type of the dependent frames; generating region wise packing (RWP) coding configuration of each of the independent frames by coding parameters of the respective one of the independent frames, wherein the RWP coding configuration of the independent frames comprises the parameters to be unpacked to restore the video; and for each of the first type of the dependent frames, generating RWP coding configuration of the dependent frame by coding parameters of the dependent frame based on difference and dependency between the parameters of the dependent frame and the parameters of an independent frame used as a reference for the coding of the dependent frame.

Abstract: Examples described herein generally relate to systems and method for streaming a video game at a client device. The client device may transmit video game controls to a streaming server. The client device may receive a video stream encoding video images generated in response to the video game controls from the streaming server. The client device may determine that a video image of the video stream to display in a frame has not been completely received at a designated time prior to display of the frame. The client device may determine an image transformation based on a history of the video images and motion vectors for the video stream. The client device may apply the image transformation to a portion of one or more images corresponding to previous frames. The client device may display a substitute video image in the frame including the portion of the transformed image.

Abstract: Glasses with gesture recognition function include a glasses frame and a gesture recognition system. The gesture recognition system is disposed on the glasses frame and configured to detect hand gestures in front of the glasses thereby generating a control command. The gesture recognition system transmits the control command to an electronic device to correspondingly control the electronic device.

Abstract: In a method or system in which an imaging element views navigation elements for e.g. navigation, the navigating elements may not be positioned optimally. Positions may exist in which the same angles exist from the imaging element to the same or similar navigating elements, whereby the positions are not unique. Navigation elements may then be repositioned, added or removed to make the positions unique.

Abstract: Methods, devices and systems are disclosed for improved depth perception in stereoscopic night vision devices. Among these are embodiments for aligning information overlays in the stereo view with associated objects, and for generating stereo information from single lenses or intensifiers. In some illustrative embodiments, a camera and position sensor are provided for at least two viewers, e.g., a pilot and a copilot, such that when a scene overlaps between viewers, the system produces a stereoptic scene, in which the users can more accurately determine a difference in depth between two or more distant objects. An illustrative binocular night vision system uses a high-resolution depth map to present binocular images to a user. In some embodiments, supplementary content can be overlaid, with an appropriate binocular disparity that is based on the depth map.

Abstract: An electronic device mounted on a fixed or a movable apparatus is provided. The electronic device may comprise a neural processing unit (NPU), including a plurality of processing elements (PEs), configured to process an operation of an artificial neural network model trained to detect or track at least one object and output an inference result based on at least one image acquired from at least one camera; and a signal generator generating a signal applicable to the at least one camera.

Abstract: A method for constructing and implementing a small cell is disclosed herein. The method includes capturing data and developing a model of the small cell; obtaining and validating a bill of materials for the small cell; identifying type, quantity, and location of materials for acquisition; coordinating utilities for the small cell with utility providers; and developing a project plan for the small cell and including with the model.

Abstract: Embodiments of the present disclosure provide interaction methods and devices. The method can include obtaining a display object comprising a plurality of collage pictures for display; acquiring, in response to a switch operation for at least one collage picture of the plurality of collage pictures of the display object, a first target collage picture, wherein a first target content type of the first target collage picture matches a content type of the at least one collage picture; and replacing the at least one collage picture with the first target collage picture.

Abstract: Systems and methods described herein provide for monitoring of video streaming events. Techniques disclosed include rendering a first omnidirectional video associated with a first viewpoint. In response to a request to access an omnidirectional video associated with another viewpoint, a time of the request and information identifying the other viewpoint is recorded. Techniques disclosed also include identifying a time of switching into rendering of a second omnidirectional video associated with a second viewpoint, and reporting a viewpoint switching latency, representing a difference between the identified switching time and a recorded request time associated with information identifying the second viewpoint.

Abstract: One or more techniques for managing virtual objects between one or more displays are described. In accordance with some embodiments, exemplary techniques for displaying a virtual object are described.

Abstract: A method of decoding an image, includes obtaining at least one offset for a picture, deriving a variable for scaling for the picture based on the at least one offset, and performing inter prediction based on the variable for scaling for the picture. The at least one offset is defined with a direction of scaling.

Abstract: A learning device, an image generating device, a learning method, an image generating method, and a program are provided which can improve accuracy of estimation of an environment outside an angle of view of an image input to an image generating section. A second learning data obtaining section (64) obtains an input image. A second learning section (66) obtains result data indicating a result of execution of semantic segmentation on the input image. An input data generating section (38) generates input data obtained by coupling the input image and the result data to each other. By using the input data as input, the second learning section (66) performs learning of a wide view angle image generating section (28) that generates, in response to input of data obtained by coupling an image to a result of execution of semantic segmentation on the image, an image having a wider angle of view than the image.