Abstract: A method, computer program, and computer system is provided for coding video data. Video data including a reference view and a current view is received. A co-located block in the reference view is identified for a current block in the current view. A predicted block vector is calculated based on an offset vector between the current block and the co-located block, and a disparity vector between the co-located block and the reference block in the reference view. The video data is encoded/decoded based on the calculated predicted block vector.

Abstract: A picture prediction method includes: determining motion vectors of W control points in a current picture block; obtaining motion vectors of P pixel units of the current picture block by using a motion model and the motion vectors of the W control points, where precision of the determined motion vectors of the W control points is 1/n of pixel precision, precision of the motion vector of each of the P pixel units is 1/N of the pixel precision, the motion vector of each of the P pixel units is used to determine a corresponding reference pixel unit in a reference picture of a corresponding pixel unit; and performing interpolation filtering on a pixel of the corresponding reference pixel unit by using an interpolation filter with a phase of Q, to obtain a predicted pixel value of each of the P pixel units.

Abstract: Disclosed are an extrinsic camera parameter calibration method, apparatus and system. The method includes: obtaining a calibration image photographed for a target location in a calibration cabin by a first camera provided therein; determining calibration feature information of the target location from the calibration image; obtaining reference feature information pre-determined from a reference image photographed for a target location in a reference cabin by a second camera provided therein; determining position-posture change data of the first relative to the second camera based on a calibration location of the calibration feature information in the calibration image and a reference location of the reference feature information in the reference image; and determining an extrinsic parameter of the first camera based on the position-posture change data. The extrinsic parameter of the first camera can be calibrated in real time and is closer to a currently actual state of the first camera when used.

Abstract: Provided are VR image processing method and apparatus. The method includes: rendering left-eye and right-eye viewpoint regions based on left-eye and right-eye view angles respectively, to obtain left-eye and right-eye viewpoint images; determining a candidate region based on positions of the left-eye and right-eye view angles, and selecting a point in the candidate region as a peripheral image view angle; rendering left-eye and right-eye viewpoint peripheral regions based on the peripheral image view angle, to obtain a same viewpoint peripheral image; and splicing the viewpoint peripheral image with the left-eye viewpoint image and with the right-eye viewpoint image to obtain a left-eye complete image and a right-eye complete image.

Abstract: Techniques for generating a fused enhanced image. A first image is generated using a first camera of a first modality, and a second image is generated using a second camera of a second modality. Pixels that are common between the two images are identified. Textures for the common pixels are determined. A camera characteristic, which is linked to noise, is identified. A scaling factor is applied to the textures in the first image. A first saliency is determined using the scaled textures. A second saliency is determined using the textures from the second image. An alpha map is generated and reflects edge detection weights that have been computed for each one of the common pixels based on the two saliencies. Based on the alpha map, textures are merged from the common pixels to generate the fused enhanced image.

Abstract: A vehicular vision system includes a camera disposed at a side of a vehicle so as to view at least sideward and forward of the vehicle including a forward blind zone ahead of the vehicle that is caused by a leading vehicle ahead of the equipped vehicle and in the same traffic lane along which the equipped vehicle is traveling. The camera captures image data. An electronic control unit (ECU) includes electronic circuitry and associated software, with the electronic circuitry including an image processor for processing image data captured by the camera. A display screen is disposed in the equipped vehicle and viewable by a driver of the vehicle. The display screen, responsive to processing by the image processor of image data captured by the camera, displays video images derived from image data captured by the camera to provide displayed images of the forward blind zone ahead of the vehicle.

Abstract: A method for decoding a video according to the present invention may comprise: obtaining a weighted prediction parameter of a current block, determined, based on the weighted prediction parameter, weights applying to a first prediction block generated based on a first reference picture and a second prediction block generated based on a second reference picture, and obtaining, based on a weighted sum of the first prediction block and the second prediction block, a final prediction block of the current block.

Abstract: Systems and methods for monitoring chain health of a chain having multiple links in a closed loop, as the chain cycles. The system includes: a camera statically positioned with respect to the chain, the camera configured to generate a frame to include a link from among the multiple links; and a controller module operationally coupled to the camera and programmed to repeat the steps of: receiving the frame; converting the frame to a black and white frame with a high-contrast; identifying a link type of the link in the black and white frame based on referencing a plurality of predefined skyline templates; and, storing the link with the link type and a respective temporal marker in a cache, storing a sequence. The system continues until discovering that the chain has cycled back to the starting link, identifies a type of chain for the chain, and fingerprints the chain.

Abstract: A video picture encoding and decoding method, including obtaining a primary sub-region bitstream corresponding to a target sub-picture of a panoramic picture, where the primary sub-region bitstream includes N secondary sub-region bitstreams, and N is a positive integer, parsing the primary sub-region bitstream to obtain a reconstructed picture, performing cross-sub-region-boundary out-loop filtering on the reconstructed picture when an out-loop filtering identifier instructs to perform cross-sub-region-boundary out-loop filtering on the reconstructed picture, to obtain a filtered reconstructed picture, and adjusting a location of at least one of N sub-regions in the filtered reconstructed picture to obtain a picture having no sub-region boundary.

Abstract: A sideview mirror assembly for a vehicle can comprise a body including a sideview mirror housing. The sideview mirror assembly can include a camera located in the body about the sideview mirror housing. The camera can have a field-of-view including an above-horizontal region directed rearward toward an overhead target position past the sideview mirror housing. The camera can be mounted for movement relative to the body between a normal position, in which the sideview mirror housing intersects the camera and the overhead target position in the above-horizontal region, and an extended position, in which the sideview mirror housing does not intersect the camera and the overhead target position in the above-horizontal region. Movement of the camera from the normal position to the extended position can unblock camera visibility of the overhead target position by the sideview mirror housing.

Abstract: Provided is a method for measuring surface characteristics of at least a portion of an object, including providing a light source; generating a first interference pattern on the at least a portion of the object; capturing an image of the first interference pattern; shifting the phase of the light source to generate a second interference pattern; capturing an image of the second interference pattern; filtering distortion from the interference patterns; extracting a wrapped phase of the at least a portion of the object based on the images; unwrapping the wrapped phase of the at least a portion of the object to generate an unwrapped phase; identifying a computed depth map distance to the at least a portion of the object; and fitting an ideal part to the computed depth map of the at least a portion of the object to measure the surface characteristics.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: A digital media encoder/decoder uses a flexible quantization technique that provides the ability to vary quantization along various dimensions of the encoded digital media data, including spatial, frequency sub bands and color channels. The codec utilizes a signaling scheme to signal various permutations of flexible quantization combinations efficiently for primary usage scenarios. When a choice of quantizer is available, the codec efficiently encodes the current quantizer by defining a subset of quantizers and indexes the current quantizer from the set.

Abstract: The disclosure extends to methods, systems, and computer program products for digitally imaging with area limited image sensors, such as within a lumen of an endoscope.

Abstract: A camera calibration information acquisition device acquires captured images of a camera calibration target from two or more cameras, detects, from each image, a coordinate of a feature point in the image, calculates—an internal parameter for each camera by using the feature point, calculates, for each camera, a magnitude of error in the coordinate of the feature point, calculates a value for an external parameter of the cameras by using the magnitude of the error, the coordinate of the feature point, and an error function set so that a penalty for error in calculating the external parameter decreases as the magnitude of the error in the coordinate of the feature point in the image increases.

Abstract: The invention relates to a method for photometrical charting of a reflectance standard (Z) illuminated by a license plate light (1). A camera (4) releasable by a control unit (5) is arranged and aligned relative to a holding device (3) configured for holding a reflectance standard (Z) in such a way, that a luminance density image (B1, B2) recorded by the camera (4) at least covers the reflective surface (Z.1) of a reflectance standard (Z) held by the holding device (3). A license plate light (1) is arranged in a positioning device (2) which is movable by the control unit (5). The positioning device (2) is controlled by the control unit (5) in such a way that the license plate light (1) arranged therein is traversed to at least one position (P1, P2), optionally to multiple positions (P1, P2) sequentially, relative to the reflectance standard (Z) arranged in the holding device (3) and held there. In each position (P1, P2), recording of at least one luminance density image (B1, B2) is triggered.

Abstract: The invention relates according to one of its embodiments to a method for encapsulating a partitioned timed media data, the partitioned timed media data comprising timed samples, at least one timed sample comprising at least one subsample. The method comprising: obtaining at least one subsample from at least one of the timed samples; creating a first track comprising the at least one obtained subsample; obtaining at least another subsample from the same one of the timed samples; creating a second track comprising said at least another obtained subsample; and generating descriptive metadata, the descriptive metadata comprising a unified descriptor comprising: a first parameter which indicates, when set to 1, that the at least one obtained subsample is a complete frame; and at least a second parameter which specifies coding dependencies between the at least one obtained subsample and the at least another obtained subsample.

Abstract: Example techniques are described for coding video data by obtaining a block of video data, obtaining an adaptive parameter set, determining a set of adaptive loop filter parameters for a plurality of filters for the block of video data based on the adaptive parameter set, wherein a plurality of adaptive loop parameters of the set of adaptive loop filter parameters are signaled using the same signaling parameter for each of the plurality of filters of the adaptive parameter set, and coding the block of video data using the set of adaptive loop filter parameters. The example techniques can be performed as part of an encoding or decoding process and/or by an encoder or a decoder.

Abstract: A method for characterizing a subsurface formation includes receiving image data of the subsurface formation obtained by a sensor tool and receiving a plurality of non-image data logs, each non-image data log being obtained by a different type of sensor tool. The method also includes performing an electrofacies analysis on the plurality of non-image data logs where the electrofacies analysis includes defining clusters wherein each cluster has a similar property to provide a plurality of electrofacies blocks with each electrofacies block representing a depth interval. The method further includes partitioning the image data into multiple high-resolution depth segments that share a similar property, feature, and/or pattern for each electrofacies block and assigning data from the plurality of non-image data logs into a corresponding high-resolution depth segment to provide a high-resolution data log that characterizes the subsurface formation.

Abstract: Different implementations are described, particularly implementations for video encoding and decoding based on a linear model responsive to neighboring samples are presented. Accordingly, for a block being encoded or decoded in a picture, at least one spatial neighboring template is determined and at least one linear model parameter is determined based on reconstructed samples of the at least one spatial neighboring template. In a first embodiment, the number N of reconstructed samples corresponds to N=2k with k chosen so that n is the maxim integer smaller than sum of the block width and block height. In a second embodiment, the an offset for the relative position of a first sample in the template among samples of a left, respectively top, neighboring line of the block is determined. In a third embodiment, the number of reconstructed samples is set to a higher number in the larger dimension of the block.