Abstract: The present disclosure, in a method of decoding a video signal, provides a method including checking whether a transform skip is applied to a current block; acquiring a transform index indicating transform types applied to a horizontal direction and a vertical direction of the current block from among a plurality of predefined transform types from the video signal when the transform skip is not applied to the current block; and performing an inverse primary transform on the current block using the transform types indicated by the transform index, wherein the transform types applied to the horizontal direction and the vertical direction of the current block are determined from among transform types defined according to an intra prediction mode of the current block based on the transform index.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for continuous surface and depth estimation. A continuous surface and depth estimation system determines the depth and surface normal of physical objects by using stereo vision limited within a predetermined window.

Abstract: A device includes a vehicle glazing, including, in a peripheral zone, a through-hole including an insert and a thermal camera.

Abstract: An H.265 encoding device is described. The encoding device may include a preprocessing module; a coarse selection module; and a precise comparison module. The preprocessing module is configured to divide a current frame from an original video into multiple CTU blocks. The coarse selection module is configured to divide a CTU block based on multiple partition modes, and perform inter-prediction and intra-prediction and generate a prediction information corresponding to the partition modes. The precise comparison module is configured to perform cost comparison, select a partition mode with the lowest cost, generate entropy coding information and reconstruction information based on the selected partition mode and its corresponding encoding information.

Abstract: The present application discloses a LiDAR controlling method and device, an electronic apparatus, and a storage medium. The method includes: in a measurement period, determining an emitting group to be started in the measurement period from a laser emitting array, where the emitting group includes at least two emitting units, and physical positions of the at least two emitting units meet a condition of no optical crosstalk; controlling the at least two emitting units to emit laser beams asynchronously based on a preset rule; and controlling a receiving unit group of the laser receiving array corresponding to the emitting group to receive laser echoes, where the laser echoes refer to echoes formed after the laser beams are reflected by a target object.

Abstract: Methods, systems, and devices for performing entropy coding for a palette escape symbol in palette mode coding and decoding are described. An example method for video processing includes performing a conversion between a video having one or more video regions including a current video block and a bitstream representation of the video, wherein the bitstream representation conforms to a format rule that the current video block is coded using a palette mode coding tool, wherein a binarization of an escape symbol for the current video block uses an exponential-Golomb (EG) code of order K, wherein K is a non-negative integer that is unequal to three, and wherein the palette mode coding tool represents the current video block using a palette of representative color values and wherein the escape symbol is used for a sample of the current video block coded without using the representative color values.

Abstract: A method of decoding JVET video, comprising defining a coding unit (CU) template within a decoded area of a video frame, the CU template being positioned above and/or to the left of a current decoding position for which data was intra predicted, defining a search window within the decoded area, the search window being adjacent to the CU template, generating a plurality of candidate prediction templates based on pixel values in the search window, each of the plurality of candidate prediction templates being generated using different intra prediction modes, calculating a matching cost between the CU template and each of the plurality of candidate prediction templates, selecting an intra prediction mode that generated the candidate prediction template that had the lowest matching cost relative to the CU template, and generating a prediction CU for the current decoding position based on the intra prediction mode.

Abstract: Aspects of the disclosure provide a method and an apparatus including processing circuitry for video decoding. The processing circuitry decodes coded information for a transform block (TB) from a coded video bitstream. The coded information indicates one of intra prediction mode information that indicates an intra prediction mode used for the TB, a size of the TB, and a primary transform type used for the TB. The processing circuitry determines a context for entropy decoding a secondary transform index based on the one of the intra prediction mode information for the TB, the size of the TB, and the primary transform type used for the TB. The secondary transform index indicates a secondary transform in a set of secondary transforms that is to be performed on the TB. The processing circuitry entropy decodes the secondary transform index based on the context and performs the secondary transform.

Abstract: A communication system for a vehicle for a vehicle includes a display device having a screen disposed in a passenger compartment. The display device is in communication with a user interface. The system further includes an authentication system having at least one scanning apparatus configured to capture a biometric data. A communication circuit is configured to communicate with a remote server. A controller is configured to capture the biometric data of a first potential passenger with the at least one scanning apparatus and access a first passenger information comprising a first identification profile from the remote server via the communication circuit. The controller is further configured to authenticate the first potential passenger as at least one of a confirmed passenger and an operator of the vehicle based on the identification profile.

Abstract: A method for luma-based chroma intra-prediction in a video encoder or a video decoder is provided that includes filtering reconstructed neighboring samples of a reconstructed down sampled luma block, computing parameters ? and ? of a linear model using the filtered, reconstructed neighboring samples of the reconstructed down sampled luma block and reconstructed neighboring samples of a corresponding chroma block, wherein the linear model is PredC[x,y]=?·RecL?[x,y]+?, wherein x and y are sample coordinates, PredC is predicted chroma samples, and RecL? is samples of the reconstructed down sampled luma block, and computing samples of a predicted chroma block from corresponding samples of the reconstructed down sampled luma block using the linear model and the parameters.

Abstract: LiDAR system and methods discussed herein use a dispersion element or optic that has a refraction gradient that causes a light pulse to be redirected to a particular angle based on its wavelength. The dispersion element can be used to control a scanning path for light pulses being projected as part of the LiDAR's field of view. The dispersion element enables redirection of light pulses without requiring the physical movement of a medium such as mirror or other reflective surface, and in effect further enables at least portion of the LiDAR's field of view to be managed through solid state control. The solid state control can be performed by selectively adjusting the wavelength of the light pulses to control their projection along the scanning path.

Abstract: A method and apparatus for performing a frequency-dependent joint component secondary transform (FD-JCST). The method includes obtaining a plurality of transform coefficients in a transform coefficient block; determining whether at least one of the plurality of transform coefficients is a low-frequency coefficient; based on determining that the at least one of the plurality of transform coefficients is the low-frequency coefficient, determining whether the low-frequency coefficient is a non-zero value; and based on determining that the low-frequency coefficient is the non-zero value, performing a joint component secondary transform (JCST) on the low-frequency coefficient and signaling a related syntax to indicate that the JCST is performed.

Abstract: Provided are systems and methods for auto calibrating a vehicle using a calibration target that is generated from the vehicle's sensor data. In one example, the method may include receiving sensor data associated with a road captured by one or more sensors of a vehicle, identifying lane line data points within the sensor data, generating a representation which includes positions of a plurality of lane lines of the road based on the identified lane line data points, and adjusting a calibration parameter of a sensor from among the one or more sensors of the vehicle based on the representation of the plurality of lane lines.

Abstract: A method for controlling block intra prediction is provided for a decoder. The method includes: obtaining a coded video bitstream; decoding, prediction information of a current coding unit (CU) in a segment of a current picture from the coded video bitstream; determining, according to the prediction information, a prediction type of a chroma coding block (CB) of the current CU, the prediction type being intra prediction or inter prediction; and reconstructing the chroma CB according to the prediction information, where a width of any reconstructed chroma CB intra-predicted from the coded video bitstream is greater than 2.

Abstract: A vehicular camera includes a lens holder, a first printed circuit board and a second printed circuit board. The first and second printed circuit boards are stacked and overlap one another. Circuitry disposed at the first printed circuit board is electrically connected with circuitry disposed at the second printed circuit board via board-to-board electrical connection. The circuitry disposed at the first printed circuit board includes an imaging sensor at a first side of the first printed circuit board. Thermally conductive material is disposed between the second printed circuit board and a second side of the first printed circuit board. The thermally conductive material is in thermally-conductive contact with the first and second printed circuit boards. The vehicular camera includes a rear housing, which includes an electrical connector portion. The electrical connector portion of the rear housing may include an electrical plug connector.

Abstract: The present invention relates to a method for producing adaptive lighting controls for an endoscope with multiple light emitting elements such as distinct light fibers, or distinct distal light emitting diodes (LEDs), etc. The amount of light delivered to the scene can be locally adjusted on a per-light basis to manage the dynamic range of the scene. For example highly reflective metallic tools many benefit from reduced light, while cavities may benefit from increased light projected into the lumen.

Abstract: An image rendering and coding method includes first sending, by a first processor, to-be-rendered data to a second processor; instructing the second processor to obtain first format data through rendering based on the to-be-rendered data, where the first format data is in first storage space of the second processor; instructing, by the first processor, the second processor to convert the first format data into second format data; and instructing the second processor to code the second format data into third format data, where a first data capacity of the third format data is less than a second data capacity of the second format data; and sending the third format data to a client.

Abstract: Disclosed here are methods, systems, and devices for measuring visual quality degradation of digital content caused by an encoding process. There is received first data for a digital content item, which is not encoded by the encoding process, and second data for the digital content item, which is encoded by the encoding process. For a given artefact type, the first data and the second data are processed to obtain a first quality metric measuring visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process. A stored mapping corresponding to the given artefact type is applied to the first quality metric to obtain a second quality metric which measures visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process and approximates subjective assessment of the digital content item by a human visual system.

Abstract: A video coding mechanism is disclosed. The mechanism includes receiving a video signal partitioned into a chroma block and a first neighboring luma block. The mechanism also includes encoding prediction information for chroma samples of the chroma block into a bitstream. The prediction information for the chroma samples is determined via intra-prediction based on down-sampled neighboring luma samples. The down-sampled neighboring luma samples are generated from a single row of luma samples from the first neighboring luma block. A bitstream including the prediction information for the chroma samples is transmitted to support decoding and display of the chroma samples.

Abstract: An image decoding method is disclosed in the present specification. An image decoding method according to the present invention may include: determining a position of a co-located block of a current block within a co-located picture (co-located picture); determining a representative motion vector of the current block by using motion information at the position of the co-located block; and deriving motion information on a sub-block included in the current block by using the representative motion vector.