Abstract: The present invention provides a method and a device for image rectification, which are applied in the field of image processing. The method includes: receiving two images, the two images are images of a target object captured from different viewpoints; performing an epipolar rectification on the two images; rectifying the two images after the epipolar rectification based on the image contents; and splicing the two images after the rectification based on the image contents. The method can rectify the images captured from different viewpoints, thereby ensuring the pixel alignment, and avoiding visual discomfort to the viewer.

Abstract: A camera-parameter-set calculation apparatus includes a three-dimensional point group calculator that calculates a plurality of three-dimensional coordinates, based on first and second images respectively captured by first and second cameras and first and second camera parameter sets of the first and second cameras; an evaluation value calculator that determines a plurality of pixel coordinates in the second image, based on the plurality of three-dimensional coordinates and the second camera parameter set, determines a plurality of third pixel coordinates in a third image captured by a third camera, based on the plurality of three-dimensional coordinates and a third camera parameter set of the third camera, and calculates an evaluation value, based on pixel values at the plurality of second and third pixel coordinates in the second and third images; and a camera-parameter-set determiner that determines a fourth camera parameter set for the third camera, based on the evaluation value.

Abstract: An image decoding apparatus is provided with a CT information decoding unit that decodes division information indicating a division method for binary tree division with respect to a coding node of a coding tree unit, and performs the binary tree division with respect to the coding node by referring to the division information of another decoded coding node.

Abstract: Provided is a video decoding method performed by a video decoding apparatus, the video decoding method including: determining prediction mode information of a current block and an index indicating a prediction candidate, from a bitstream; determining a prediction candidate list according to the prediction mode information; when the prediction mode information of the current block indicates a pre-set prediction mode, determining a motion vector indicated by the index indicating the prediction candidate from the prediction candidate list, and determining a prediction motion vector of the current block based on at least one of pieces of motion prediction information related to the motion vector; and determining a motion vector of the current block based on the prediction motion vector, wherein the pre-set prediction mode is a prediction mode different from a skip mode and a merge mode.

Abstract: There is provided an optical distance measurement system including an image sensor and a processing unit. The processing unit is configured to generate an image to be calculated according to at least one image captured by the image sensor, wherein different image regions of the image to be calculated correspond to different exposure times thereby improving the accuracy of the distance calculation.

Abstract: A transcoder resource retrieves content stored in a repository. The stored content can be encoded in accordance with a first encoding format. The transcoder resource transcodes the retrieved content into a second encoding format. To increase available capacity, the transcoder resource stores the content in the second encoding format as a replacement to the content encoded according to the first encoding format. The second encoding format can support a higher compression ratio than the first encoding format. Additionally, the transcoding can be performed as one of multiple tasks executed in parallel. In such an instance, during parallel processing, a content management resource interleaves execution of the main processing task and the background task of transcoding the content into the second encoding format. The transcoding task can be assigned a lower execution priority than one or more other tasks executed in parallel.

Abstract: A method of coding video data, including coding a first block of video data using affine motion compensation prediction, updating a history-based motion vector prediction table using one or more motion vectors from one or more blocks that spatially neighbor the first block, determining a motion vector for a second block of video data using the history-based motion vector prediction table, and coding the second block of video data using the determined motion vector.

Abstract: A method according to an embodiment includes: mounting a reference-specimen of a same material as that of a specimen on a support member and creating a map indicating a distortion in a gravity direction of the reference-specimen; mounting the specimen on the support member and irradiating light to the specimen; correcting a linear component of a distortion in a gravity direction of the specimen between a first point on the specimen and a second point located in the first scanning direction on the specimen on a basis of a first difference in the gravity direction between the first and second points in the map, and correcting a secondary component of the distortion in the gravity direction of the specimen using a feedback circuit, when the pattern is imaged; and performing a defect inspection using an image of the pattern.

Abstract: A controller and a method for controlling output bitrate of a video encoder when encoding a video stream. The method for controlling output bitrate of a video encoder when encoding a video stream comprises: receiving weather forecast data for a location where the video stream is captured; predicting, based on the weather forecast data, a future increase in output bitrate of the video encoder due to weather affecting contents of the video stream; and reducing the output bitrate of the video encoder by increasing a compression level of the video stream so as to compensate for the future increase in output bitrate of the video encoder.

Abstract: The present invention provides a method and a device for image rectification, which is applied to the field of image processing. The method includes: receiving two images, wherein the two images are images of a target object captured at different viewpoints, and an image capturing device configured to capture the two images, includes a first image capturing device and a second image capturing device; determining positions of corresponding feature point pairs in the two images; and aligning the two images according to the positions of the feature point pairs and parameters of the first image capturing device and the second image capturing device. The above-mentioned method can rectify the images captured at different viewpoints, thereby ensuring the alignment of pixels, and avoiding visual discomfort of the viewer.

Abstract: An object detection system comprises a polarizer configured to polarize an incoming image scene, a motor controller configured to control a spin rate of the polarizer, a lens configured to collect scene data from the polarized image scene, a first integrated circuit configured to measure the collected scene data at two different and orthogonal polarizations, a second integrated circuit configured to determine a degree of polarization (DoP) and an angle of polarization (AoP) for each image frame pair and to generate pre-processed data, and a processor configured to match the pre-processed data to target criteria. The first integrated circuit can be a DROIC imager and the second integrated circuit can be a FPGA. The AoP and DoP can be determined at a pixel level. The second integrated circuit is configured to apply spatial filtering having a DoP greater than 70% or where AoP is unique to immediate surroundings of AoP.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. An apparatus for video decoding includes processing circuitry that decodes prediction information for a current block in a current coded picture. The prediction information indicates a motion vector predictor index (MVP_idx) for selecting a motion vector predictor in a motion vector predictor list. The processing circuitry determines whether the MVP_idx is smaller than a threshold. When the MVP_idx is determined to be smaller than the threshold, the processing circuitry decodes a motion vector difference (MVD) corresponding to the motion vector predictor and reconstructs the current block based on the motion vector predictor and the MVD. When the MVP_idx is determined to be equal to or larger than the threshold, the processing circuitry reconstructs the current block based on the motion vector predictor without the MVD which is not signaled in the coded video sequence.

Abstract: A system includes at least one processor and at least one non-transitory computer-readable media communicatively coupled to the at least one processor. In some embodiments, the at least one non-transitory computer-readable media stores instructions which, when executed, cause the processor to perform operations including receiving a first set of sensor data within a first time frame and receiving a set of skycam actions within the first time frame. In certain embodiments, the operations also include generating a set of reference actions corresponding to the first set of sensor data and the set of skycam actions. In some embodiments, the operations also include receiving a second set of sensor data associated with a second game status, a second game measurement, or both. The operations also include generating a sequence of skycam actions based on a comparison between the second set of sensor data and the set of reference actions.

Abstract: An apparatus includes a plurality of capture devices and a processor. The plurality of capture devices may each be configured to generate video frames corresponding to an area outside of a vehicle. The processor may be configured to receive the video frames from each of the plurality of capture devices, generate video data for a display in response to the video frames, store a view preference for the display corresponding to (i) a location and (ii) a vehicle status, determine a current location and a current status of the vehicle and generate an output signal to select a view for the display. The output signal may be generated in response to the current location matching the location and the current status matching the vehicle status. The view selected may be determined based on the view preference.

Abstract: An encoder includes circuitry and memory. Using the memory, the circuitry performs: deriving a plurality of reference samples positioned on a first line, for intra prediction; and generating a prediction image using the plurality of reference samples. The deriving includes interpolating a value on a second line perpendicular to the first line using values of encoded pixels on the second line to generate an interpolated value, and deriving one of the plurality of reference samples by projecting the interpolated value onto the first line.

Abstract: A method of processing point cloud data at a decoder can include receiving three dimensional (3D) coordinates of a set of points of a point cloud including first points and a current point. Each of the first points can be associated with a reconstructed attribute value. A group of neighboring points of the current point can be determined from the first points. An indicator is received. The indicator indicates whether reconstruction of the current point in a prediction step in a lifting scheme is based on a weighted average prediction of the reconstructed attribute values of the plurality of neighboring points. The current point is reconstructed based on the received indicator.

Abstract: Methods for quantization parameter (QP) prediction are presented. In a coded bitstream that includes QP values, instead of simply embedding all delta QP values in the bitstream, the bitstream may include QP-related syntax elements that allow a decoder to reconstruct the delta QP values using luma-based QP prediction. Encoding and decoding bitstream examples are provided where delta QP values may be predicted using information from just the luminance values of the prediction blocks of the current block or by additional luminance information from its known neighbors (e.g., from the left or above blocks) and a base QP value.

Abstract: An apparatus to facilitate encoding visibility data for view-dependent video is disclosed. The apparatus includes one or more processors to receive point cloud data including a plurality of images and camera parameters associated with each of a plurality of cameras, and encode one or more visibility descriptors for each point in the point cloud data to provide visibility information for each point for a plurality of camera views indicated in the camera parameters.

Abstract: Techniques for encoding video with reduced frame-boundary artifacts are presented. The techniques include a video encoding method, where, when skip mode is selected as a motion prediction coding mode for a pixel block predicted from a reference block of a reference frame, estimating an amount of the reference block that extends beyond the edge of the reference frame. If the amount beyond the edge does not exceed a threshold, the prediction may be coded with skip mode. If the amount beyond the edge exceeds a threshold, the pixel block may be partitioned, and the partitioned blocks may be coded with motion prediction.

Abstract: A system for tracking the location of people as the people move between zones, the system including tracking devices and a central tracking system. The tracking devices each monitor a zone and include a video camera, infrared sensors for detecting people in the zone, an antenna for detecting wireless signals from devices carried by people in the zone that provide unique device identifiers, a light and a processor that communicates with the central tracking system. The processor turns the light on when the infrared sensor detects a person in the zone and analyzes video data from the camera to determine the location of the person, which is sent to the central processor which creates a personal identifier for the person based on the unique identifier of a device carried by the person and tracks the person as the person moves between zones.