Abstract: An aerial object position determination system including an acoustic detection module comprising a plurality of microphones positioned about a central axis of the first unit; a computer vision module comprising multiple cameras positioned about the central axis of the first unit; an automatic dependent surveillance-broadcast (ADS-B) receiver provided with the first unit. One or more processors are configured to receive data from the acoustic detection module, the computer vision module and the ADS-B receiver. Based on the received data, the one or more processors determine a position of an aerial object. The determined position of the aerial object is transmitted to a receiving device.

Abstract: The present disclosure concerns a method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. It concerns encoding and decoding improvement which reduce the need for memory accesses when using an encoding mode where the motion information is predicted using a decoder side motion vector derivation method.

Abstract: The present disclosure concerns a method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. It concerns encoding and decoding improvement which reduce the need for memory accesses when using an encoding mode where the motion information is predicted using a decoder side motion vector derivation method.

Abstract: The present disclosure concerns a method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. It concerns encoding and decoding improvement which reduce the need for memory accesses when using an encoding mode where the motion information is predicted using a decoder side motion vector derivation method.

Abstract: The present disclosure concerns a method and a device for encoding or decoding video data. It concerns more particularly the encoding according to a particular encoding mode using a decoder side motion vector derivation mode referenced as frame-rate up conversion mode or FRUC mode. It concerns encoding and decoding improvement which reduce the need for memory accesses when using an encoding mode where the motion information is predicted using a decoder side motion vector derivation method.

Abstract: In this specification, a image decoding method is disclosed. The image decoding method of the present invention comprises, decoding block partition information of a current block included in a current picture, determining a partitioning scheme for the current block according to the block partition information and partitioning the current block using the partitioning scheme determined, wherein the partitioning scheme is determined according to whether the current block includes a boundary of the current picture.

Abstract: A system for assembling a group composite image from individual subject images is described. Often subjects of a group vary in height. Additionally, as each subject is photographed individually, different zoom factors can be applied by a camera that affects a pixel density of the image captured. The system includes a fiducial marking device that emits collimated light to form one or more fiducial markers on a subject while an image is captured by the camera. Based on a location of the fiducial markers in the image, a pixel density of the image and a reference height of the subject can be determined. The individual subject image can be scaled based on the pixel density and reference height to account for the varying subject heights and zoom factors to generate a group composite image that accurately represents the subjects of the group relative to one another.

Abstract: Systems and methods described below provide for rapid imaging of an object and reconstruction of a 3D image of the object. The imaging system is configured to obtain numerous images of an object from many angles around the object. The imaging system includes a camera rig which supports several cameras, with the viewing angle of each camera directed to the object. The camera rig is rotatable about the object, or vice-versa, in order to obtain images around the entirety of the object. The location of each camera is used by an imaging processing system to match adjacent images to be stitched together, avoiding the need to compare edges of a number of images to match an image to an adjacent image.

Abstract: Decoder for block-based decoding of a picture from a data stream, configured to decode an intra-coding mode for a predetermined block of the picture from the data stream, configured to decode a partition dimension flag for the predetermined block of the picture from the data stream and set a partition dimension depending on the partition dimension flag to be horizontal or vertical and the decoder is configured to partition, along the predetermined dimension, the predetermined block into transform partitions which are as wide as the predetermined block perpendicular to predetermined dimension, furthermore configured to decode, for each transform partition, a transform of a prediction residual from the data stream; intra-predicting the predetermined block depending on one or more already reconstructed samples neighboring the predetermined block in a manner depending on the intra-coding mode to obtain a predictor for the predetermined block; and reconstructing the predetermined block by correcting the predictor

Abstract: A bidirectional optical flowing prediction method includes obtaining an initial motion vector pair for a current block, obtaining a forward and a backward prediction block according to the forward motion vector and a backward prediction block according to the initial motion vector pair, and calculating gradient parameters for a current sample in the current block. The method further includes obtaining at least two sample optical flow parameters, including a first parameter and a second parameter, for the current sample based on the gradient parameters, obtaining block optical flow parameters based on sample optical flow parameters of samples in the current block, and obtaining a prediction value of the current block. One of the block optical flow parameters is obtained by multiplying the first parameter and a sign function of the second parameter, and the sign function is a piecewise function with at least three subintervals.

Abstract: A head-mounted device may have a head-mounted support structure with a left side portion, a right side portion, and a transparent front portion forming a lens. The lens may extend across the front of a user's face between the left and right side portions. The lens may have a mirror coating or other optical coating that helps obscure objects on the inner side of the lens when viewed from an exterior region surrounding the head-mounted device. Left and right forward-facing cameras with overlapping fields of view may be used to capture visible-light images through the lens. The cameras may also be used for gaze tracking. Left and right light sources may provide eye illumination that reflects from the lens into left and right eye boxes. Images from the eye boxes may reflect from the lens towards the left and right forward-facing cameras.

Abstract: An electronic apparatus performs a method of updating an inter-predicted current block using a neighboring affine block. The electronic apparatus first identifies a pixel within the inter-predicted current block, the pixel having a first inter-predicted pixel value. Next, the electronic apparatus determines a motion vector difference for the pixel based on a set of affine parameters of the neighboring affine block and then a pixel value difference for the pixel according to the motion vector difference. The pixel value difference is an inner product of the pixel value gradient vector and the motion vector difference as the pixel value difference. Finally, the electronic apparatus updates the first inter-predicted pixel value with the pixel value difference as a second inter-predicted pixel value.

Abstract: The invention describes an infrared imaging assembly (1) for capturing an infrared image (M0, M1) of a scene (S), comprising an infrared-sensitive image sensor (14); an irradiator (10) comprising an array of individually addressable infrared-emitting LEDs, wherein each infrared-emitting LED is arranged to illuminate a scene region (S1, . . . , S9); a driver (11) configured to actuate the infrared irradiator (10) by applying a switching pulse train (T1, . . . , T9) to each infrared-emitting LED; an image analysis module (13) configured to analyse a preliminary infrared image (M0) to determine the required exposure levels (130) for each of a plurality of image regions (R1, . . . , R9); and a pulse train adjusting unit (12) configured to adjust the duration (L1, . . . , L9) of a switching pulse train (T1, . . . , T9) according to the required exposure levels (130).

Abstract: One variation of a method for modeling a human body includes: driving a sensor block along a path above a platform occupied by a user and recording a sequence of depth images and color images, via the sensor block, at each capture position in a sequence of capture positions along the path; compiling the set of depth images into a low-density 3D model of the user and a high-density 3D model of the user; extracting a set of color patches, from the sequence of color images, corresponding to discrete regions on a surface of the low-density 3D model of the user; projecting the set of color patches onto the surface of the low-density 3D model to generate a 3D color model of the user; and extracting a value of a dimension, projected from the low-density 3D color model onto the high-density 3D model, from the high-density 3D model.

Abstract: An embodiment of the present description provides a decoding method and device for a quantization block as well as an electronic device.

Abstract: Provided are an imaging plan presentation apparatus and method capable of presenting an imaging plan to a user in accordance with conditions of images necessary for checking and an imaging range in a captured image. After an imaging unit (14) completes imaging, an imaging plan update unit (15) determines whether an uncaptured area has been identified by an uncaptured-area identification unit (151). If Yes is obtained, the imaging plan update unit (15) updates the imaging plan on the basis of the uncaptured imaging range, and re-generates an imaging plan corresponding to the uncaptured imaging range. Then, an imaging plan presentation unit (13) presents an imaging range to be captured next to a user on the basis of the re-generated imaging plan.

Abstract: Camera heads including multiple imaging elements with overlapping Fields of View (FOV) for inspecting pipes or cavities are disclosed.

Abstract: A method includes performing a conversion between a current slice of a current picture of a video and a bitstream of the video, wherein the bitstream conforms to a format rule, and wherein the format rule specifies that a general constraint information syntax structure, which comprises one or more constraint flags indicating constraints on an explicit weighted prediction being enabled for slices of a set of pictures, is present.

Abstract: A device for MR/VR systems that includes a two-dimensional array of cameras that capture images of respective portions of a scene. The cameras are positioned along a spherical surface so that the cameras have adjacent fields of view. The entrance pupils of the cameras are positioned at or near the user's eye while the cameras also form optimized images at the sensor. Methods for reducing the number of cameras in an array, as well as methods for reducing the number of pixels read from the array and processed by the pipeline, are also described.

Abstract: An electronic device for reducing noise occurring in measuring a distance to an external object is provided.