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.

Abstract: It is an object to provide a transmitting apparatus, a receiving apparatus, and a transmission system that are capable of performing an image quality adjustment process on a partial region of interest (ROI) segmented from a captured image. The transmitting apparatus includes a controlling section that controls acquisition of image quality adjusting information including information for use in adjusting image quality of each of a plurality of ROIs, and a transmitting section that sends out image data of the plurality of ROIs as payload data and sends out ROI information of each of the plurality of ROIs as embedded data.

Abstract: Devices and methods of directional intra prediction for chroma component of a picture are provided. The method includes obtaining an initial intra prediction mode of the chroma component, and deriving a chroma intra prediction mode (intraPredModeC) from a look up table (LUT) by using the initial intra prediction mode of the chroma component. The chroma component has different subsampling ratios in horizontal and vertical directions. The method further includes performing wide-angle mapping on the chroma intra prediction mode (intraPredModeC) to obtain a modified intraPredModeC; obtaining an angle parameter for the chroma component based on the modified intraPredModeC; and obtaining predicted samples of the chroma component based on the angle parameter. The method provides the minimum number of entries in the LUT that is used to determine chroma intra prediction mode from the initial chroma intra prediction mode.

Abstract: A method for decoding an image signal according to the present invention may comprise the steps of: determining whether there is a brightness change between a current image including a current block and a reference image of the current image; if it is determined that there is a brightness change between the current image and the reference image, determining weight prediction parameter candidates for the current block; determining a weight prediction parameter for the current block on the basis of index information which specifies any one of the weight prediction parameter candidates; and performing a prediction on the current block on the basis of the weight prediction parameter.

Abstract: A method of decoding is provided. The method includes receiving a video bitstream including a plurality of layers and a sequence parameter set (SPS) including a flag, wherein each of the plurality of layers referring to the SPS has a same set of (DPB) parameters regardless of whether each of the plurality of layers is an output layer or a non-output layer when the flag has a first value, and wherein each of the plurality of layers referring to the SPS has a first set of DPB parameters that apply to output layers and a second set of DPB parameters that apply to non-output layers when the flag has a second value; and decoding a picture from one of the plurality of layers to obtain a decoded picture. A corresponding method of encoding is also provided.

Abstract: Encoding or decoding picture information can involve determining a first scaling factor varying with a first granularity to scale a chroma prediction residual associated with chroma information included in the picture information; determining a second scaling factor varying with a second granularity finer than the first granularity; scaling the chroma prediction residual based on a combination of the first scaling factor and the second scaling factor to provide a scaled chroma prediction residual with the second granularity; and encoding or decoding at least a portion of the picture information based on the scaled chroma prediction residual.

Abstract: An arrangement for processing of value documents at a preparation station, prior to their processing by means of a value document processing apparatus, involves inserting the value documents into a container divided into several storage regions. The value documents of the respective deposit are removed at the preparation station from delivery containers which respectively include a unique deposit identification. A monitoring device automatically captures into which storage region of the value document container the value documents are inserted.

Abstract: A video coding device receives a bitstream including video data. The device determines an intra-prediction mode subset. The intra-prediction mode subset include intra-prediction modes that correlate to a plurality of reference lines for a current image block and excludes intra-prediction modes that correlate to a primary reference line for the current image block. When a first intra-prediction mode is included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an alternative intra-prediction mode index. When the first intra-prediction mode is not included in the intra-prediction mode subset, the device decodes the first intra-prediction mode by an intra-prediction mode index. The device presents video data including an image block decoded based on the first intra-prediction mode.

Abstract: A method for picture decoding, a method for picture encoding, a decoder, and an encoder are provided. The method includes the following. A bitstream corresponding to a current picture is acquired. The bitstream is parsed to obtain a flag corresponding to the current picture. A cross-decoding function is disabled when a decoding manner indicated by the flag is independent decoding of colour components, where the cross-decoding function allows decoding based on a dependency relationship between two chroma components.

Abstract: A method of decoding includes receiving a first picture parameter set and a second picture parameter set each referring to same sequence parameter set, the first picture parameter set and the second picture parameter set having same values of a conformance window when the first picture parameter set and the second picture parameter set have same values of picture width and picture height, and applying the conformance window to a current picture corresponding to the first picture parameter set or the second picture parameter set.

Abstract: Disclosed are a colour component prediction method, an encoder, a decoder, and a storage medium. The method includes: determining adjacent reference pixels of a current block in a picture; constructing a subset of adjacent reference pixels according to the adjacent reference pixels, wherein the subset of adjacent reference pixels contains a part of the adjacent reference pixels; and calculating model parameters of a prediction model according to the subset of adjacent reference pixels, wherein the prediction model includes N prediction sub-models, the N prediction sub-models correspond to N groups of model parameters, and the prediction sub-models are used to perform, through corresponding model parameters, cross-component prediction of colour components to be predicted, and N is a positive integer greater than or equal to 2.

Abstract: There is provided an imaging device, an electronic apparatus including an imaging device, and an automotive vehicle including an electronic apparatus including an imaging device, including: a first substrate including a first set of photoelectric conversion units; a second substrate including a second set of photoelectric conversion units; and an insulating layer between the first substrate and the second substrate; where the insulating layer has a capability to reflect a first wavelength range of light and transmit a second wavelength range of light that is longer than the first wavelength range of light.

Abstract: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform parsing at least one video parameter set comprising at least one syntax element indicating whether at least one layer in the scalable bitstream is one of a dependent layer of the scalable bitstream and an independent layer of the scalable bitstream, coding a picture in the dependent layer by parsing and interpreting an inter-layer reference picture list, and coding a picture in an independent layer without parsing and interpreting the inter-layer reference picture list.

Abstract: Methods for performing palette coding of video data may include: determining whether a luma component of a coding unit (CU) and chroma components of the CU are coded jointly or separately in a palette mode; and in response to the luma component and the chroma components being coded separately in the palette mode, determining a maximum separate palette-table size for the CU; determining a maximum separate palette-predictor size for the CU; and predicting the CU based on the maximum separate palette-table size and the maximum separate palette-predictor size.

Abstract: A 3D measuring instrument includes a registration camera and a surface measuring system having a projector and autofocus camera. In a first pose, the registration camera captures a first registration image of first registration points. The autofocus camera captures a first surface image of first light projected onto the object by the projector and determines first 3D coordinates of points on the object. In a second pose, the registration camera captures a second registration image of second registration points. The autofocus camera adjusts the autofocus mechanism based at least in part on adjusting a focal length to reduce a difference between positions of the first and second registration points. A second surface image of second light is captured. A compensation parameter is determined based at least in part on the first registration image, the second registration image, the first 3D coordinates, the second surface image, and the projected second light.

Abstract: An intraoral scanner includes a device body and a connection portion. The device body has a heat-dissipating structure and a first electrical connection port. The connection portion is detachably connected to the device body and includes a second electrical connection port and a fan. The second electrical connection port is electrically connected to the first electrical connection port. The fan generates an airflow that flows through the heat-dissipating structure.

Abstract: A method for visual media processing, including: computing, during a conversion between a current video block of visual media data and a bitstream representation of the current video block, a cross-component linear model (CCLM) and/or a chroma residual scaling (CRS) factor for the current video block based, at least in part, on neighboring samples of a corresponding luma block which covers a top-left sample of a collocated luma block associated with the current video block, wherein one or more characteristics of the current video block are used for identifying the corresponding luma block.

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 by applying linear prediction model based on the linear prediction parameter to the luminance reference signal.