Abstract: A method to dynamically and adaptively sample the depths of a scene using the principle of triangulation light curtains is described. The approach directly detects the presence or absence of obstacles (or scene points) at specified 3D lines in a scene by sampling the scene. The scene can be sampled sparsely, non-uniformly, or densely at specified regions. The depth sampling can be varied in real-time, enabling quick object discovery or detailed exploration of areas of interest. Once an object is discovered in the scene, adaptive light curtains comprising dense sampling of a region of the scene containing the object, can be used to better define the position, shape and size of the discovered object.

Abstract: A method of decoding a coded video bitstream includes obtaining a sequence parameter set (SPS)-level syntax element from the bitstream, wherein that the SPS-level syntax element equaling a preset value specifies that no video parameter set (VPS) is referred to by a SPS, and wherein the SPS-level syntax element being greater than the preset value specifies that the SPS refers to a VPS. The method further includes obtaining, when the SPS-level syntax element is greater than the preset value, an inter-layer enabled syntax element specifying whether one or more inter-layer reference pictures (ILRPs) are enabled to be used for the inter prediction of one or more coded pictures, and predicting one or more coded pictures based on the value of the inter-layer enabled syntax element.

Abstract: Described herein is a time-of-flight ranging system and methods for its operation. The system includes an array of single photon avalanche diode (SPAD) pixels and control circuitry. The control circuitry simultaneously accumulates integrated SPAD event data from one cluster of SPAD pixels while integrating SPAD event data from another cluster during different target illuminations. The system also includes first and second VCSEL clusters, each responsible for a different target illumination. By processing and managing the data in this manner, the system can effectively reduce the time used to gather and analyze the event data, leading to faster and more accurate distance measurements.

Abstract: Devices, systems and methods for encoding and decoding digital video using a look-up tables (LUTs) containing motion candidates are described. In a representative aspect, a method of video processing includes maintaining one or more tables, wherein at least one table of the one or more tables is associated with one or more entries, deriving, based on a first set of motion candidates in the at least one table, a second set of motion candidates, and performing, based on the second set of motion candidates, a conversion between a current block of a video and a bitstream representation of the video.

Abstract: A video signal processing method comprises: a step for deriving an intra prediction mode of a current block; a step for constructing a reference sample around the current block; a step for generating a prediction sample of the current block by using the reference sample on the basis of the intra prediction mode; and a step for restoring the current block on the basis of the prediction sample. The step for generating the prediction sample may comprise: a step for setting a filter flag value which specifies a filter coefficient of an interpolation filter applied to the reference sample on the basis of the width and height of the current block; and a step for performing filtering on the reference sample by using the interpolation filter having the filter coefficient specified by the filter flag.

Abstract: The invention relates to a method for decoding an image based on a base layer (Cbase) and enhancement information (Iam), said method comprising the following steps: decoding said base layer (Cbase) in order to obtain at least one base component (Ydecbase, Udecbase, Vdecbase), oversampling the at least one base component (Ydecbase, Udecbase, Vdecbase) in order to obtain at least one oversampled component (Ysurech, Usurech, Vsurech), decoding the enhancement information (Iam) by means of a part (B) at least of artificial neural network in order to obtain enhancement values (Vam), reconstructing the image based on the at least one oversampled component (Ysurech, Usurech, Vsurech) and the enhancement values (Vam). The invention also relates to associated encoding method, electronic decoding device, electronic encoding device and signal.

Abstract: Aspects of the disclosure provide method and apparatus for video coding. In some examples, an apparatus includes receiving circuitry and processing circuitry. The processing circuitry selects a reference line from a plurality of potential reference lines and selects an intra prediction mode from a set of potential intra prediction modes that is associated with the reference line. The processing circuitry encodes a block according to the intra prediction mode and at least one reference sample in the reference line. The processing circuitry further generates prediction information of the block. Inclusion of an indication of a reference line index of the reference line in the prediction information is based on the intra prediction mode.

Abstract: A system for illuminating an area around a motor vehicle, having: a pair of radar systems and a pair of lighting systems mounted on the motor vehicle; a vehicle level sensor configured to detect changes in pitch or roll of the motor vehicle; and an illumination control system in the motor vehicle. The illumination control system includes a key fob communication system and determines the location of a person by detecting the person approaching the motor vehicle by detecting the presence of the key fob while also detecting the location of the person with a radar system mounted on the vehicle. Next, when the location of the person has been determined, the illumination system lights up the area the person is standing while following movement of the person with the radar system to continuously re-directing the illumination towards the location on the ground where the person is standing as the person moves.

Abstract: Systems, methods and apparatus for video processing are described. The video processing may include video encoding, video decoding, or video transcoding. One example method of video processing includes performing a conversion between a video including one or more pictures and a bitstream of the video according to a format rule. The format rule specifies that a first syntax element that indicates whether motion vector difference for a particular reference picture list (RPL) is indicated is conditionally included in the bitstream based on (i) whether a second syntax element indicating whether an RPL information is included in a picture header and/or (ii) a number of reference pictures in the particular RPL in case that the RPL information is present in the picture header.

Abstract: Several techniques for video encoding and video decoding are described. An example method of processing video data includes performing a conversion between a video including one or more subpictures and a bitstream of the video according to a format rule, wherein the format rule specifies that a first syntax element in a scalable nesting supplemental enhancement information message in the bitstream is set to a particular value in response to the scalable nesting supplemental enhancement information message including one or more subpicture level information supplemental enhancement information messages, and wherein the particular value of the first syntax element indicates that the scalable nesting supplemental enhancement information message includes one or more scalable-nested supplemental enhancement information messages that apply to a specific output video layer set.

Abstract: A method for decoding/encoding an image signal with the decoding/encoding apparatus according to the present invention may comprise the steps of: generating a first prediction sample of a current block, determining a weight prediction parameter set of the current block by using a predetermined reference region, the reference region being a region reconstructed before the current block and including a neighboring region spatially adjacent to the current block, and generating a second prediction sample of the current block by applying the weight prediction parameter set to the first prediction sample. Herein, the neighboring region is determined based on information signaled from a bitstream, and the information specifies a position of the neighboring region and is used to determine the weight prediction parameter set.

Abstract: An information processing system is provided. The information processing system comprises at least one processor configured to receive inputs of videos captured by a plurality of imaging apparatuses, detect a first person image appearing in a first video captured by a first imaging apparatus and a second person image appearing in a second video captured by a second imaging apparatus, associate a first person with a second person based on a first feature value of the first person and a second feature value of the second person, and provide an elapsed time from a first time point when the first person disappears from the first video to a second time point when the second person appears in the second video. The first feature value and the second feature value may include information based on histogram.

Abstract: Systems and methods for deep neural network (DNN)-based cross component prediction are provided. A method includes inputting a reconstructed luma block of an image or video into a DNN; and predicting, by the DNN, a reconstructed chroma block of the image or video based on the reconstructed luma block that is input. Luma and chroma reference information and side information may also be input into the DNN to predict the reconstructed chroma block. The various inputs may also be generated using processes such as downsampling and transformation.

Abstract: An electronic device includes at least one processor or circuit configured to function as a setting unit, an acquisition unit and a processing unit. The setting unit sets an object region in an image acquired from an imaging unit. The acquisition unit acquires a distance map including distance information corresponding to a pixel included in the object region. The processing unit determines object distance information indicating a distance to an object included in the object region, based on the distance information corresponding to the pixel included in the object region.

Abstract: An encoder includes circuitry and memory. In both of a first type of residual coding where an orthogonal transform is applied and a second type of residual coding where the orthogonal transform is skipped, wherein when a restriction on a number of CABAC processes allows CABAC coding of a set of coefficient information flags, the circuitry: encodes the coefficient information flags by CABAC; and otherwise, the circuitry: skips the CABAC encoding of the coefficient information flags; and the circuitry encodes a remainder value of the coefficient with Golomb-Rice code when the coefficient information flags are encoded; and otherwise the circuitry encodes a value of the coefficient with the Golomb-Rice code, wherein in the second type of residual coding, the circuitry encodes absolute value flags each relating to an absolute value of the coefficient after encoding the coefficient information flags and before encoding the remainder value of the coefficient.

Abstract: A method of decoding a coded video bitstream is provided. The method includes receiving the coded video bitstream, wherein the coded video bitstream contains a gradual decoding refresh (GDR) picture and a first flag having a first value; setting a second value of a second flag equal to the first value of the first flag; emptying any previously-decoded pictures from a decoded picture buffer (DPB) based on the second flag having the second value; and decoding a current picture after the DPB has been emptied. A corresponding method of encoding is also provided.

Abstract: A method for decoding/encoding an image signal with the decoding/encoding apparatus according to the present invention may comprise the steps of obtaining a first prediction sample of a current block by performing inter prediction on the current block, determining one or more weight prediction parameter candidates for the current block, determining a weight prediction parameter of the current block from the one or more weight prediction parameter candidates, and obtaining a second prediction sample of the current block by applying the weight prediction parameter to the first prediction sample. Herein, a number of the one or more weight prediction parameter candidates is variably determined based on a size of the current block.

Abstract: A generation method of high-precision map for recognizing traffic lights is provided. The generation method comprised steps of: obtaining road test data comprising video data of traffic lights; marking the video data in order to obtain marked data of the traffic lights, the marked data comprising states of the traffic lights and traffic lights information; using the video data and the marked data to generate a recognition model of the traffic lights; and storing the recognition model and the traffic lights information in a high-precision map to generate a high-precision map for recognizing the traffic lights. Furthermore, a method and system for recognizing traffic lights using high-precision map are also provided. The recognition model is stored in the high-precision map, and cooperating with the high-precision map to effectively recognize the traffic lights.

Abstract: There is provided an image processing apparatus and method that make it possible to suppress degradation of the encoding efficiency. In the case where primary transform that is a transform process for a prediction residual that is a difference between an image and a prediction image of the image is to be skipped, also secondary transform, which is a transform process for a primary transform coefficient obtained by the primary transform of the prediction residual, is skipped. The present disclosure can be applied, for example, to an image processing apparatus, an image encoding apparatus, an image decoding apparatus and so forth.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains chrominance prediction signal applying the linear prediction model based on the linear prediction parameter to the luminance reference signal.