Abstract: Disclosed herein are a method and apparatus for image encoding and decoding using prediction based on a block shape. Whether a prediction mode is available for a target block is determined. The determination is performed based on the shape of the target block. When the prediction mode is determined to be unavailable for the target block, signaling related to the prediction mode may be omitted, and determination of an additional prediction mode is performed. When the prediction mode is determined to be available for the target block, information indicating whether the prediction mode is to be used for the target block is signaled.

Abstract: A method for intra prediction may include obtaining a target block to be encoded in a target image. The method may also include determining a final most probably mode (MPM) list of the target block based on at least one of (a) first intra-prediction modes configured to encode two or more adjacent blocks of the target block, (b) a width and a height of the target block, (c) statistical information of second intra-prediction modes configured to encode a plurality of first encoded blocks associated with the target block, or (d) texture features of a plurality of second encoded blocks associated with the target block. The method may also include determining, based on the final MPM list, a target intra-prediction mode corresponding to the target block. The method may also include encoding, based on the target intra-prediction mode, the target block.

Abstract: An entertainment device safety system includes a video camera configured to capture video of an entertainment device and a user of the entertainment device and a video analytic module to perform real-time video processing of the captured video to generate non-video data from video. A computer receives the video and the non-video data from the video camera analyzes the video or the non-video data to determine a user position in relation to the entertainment device. The user position is compared to a user position rule to determine whether the user position violates the user position rule. A notification is transmitted in response to a determination that the user position violates the user position rule.

Abstract: A method of decoding a bitstream comprising decoding the bitstream into color values and metadata items indicating information about adaptive post-processing operations performed by a decoder, performing high dynamic range (HDR) adaptation operations on the color values based on the metadata items, and performing fixed post-processing operations to reconstruct an HDR video from the color values, wherein the HDR adaptation operations convert color values into a format expected by the fixed post-processing operations.

Abstract: There are provided mechanisms for decoding a set of pictures from a bitstream. The method comprises obtaining a layer access, LA, indication identifying an LA picture in an access unit, wherein i) the LA picture has a layer identifier value that identifies a layer and ii) the LA picture is followed by other pictures in a decoding order. The method comprises determining, based on the LA indication, an LA position in the bitstream. The method comprises decoding the LA picture and the other pictures following the LA picture in the decoding order, wherein no parameter set that: a) has a particular type, b) has a layer identifier value equal to the layer identifier value of the LA picture, and c) precedes the LA position is used for decoding the LA picture.

Abstract: Methods and apparatus are provided for adaptive motion vector candidate ordering for video encoding and decoding. An apparatus includes a video encoder (100) for encoding a block in a picture by selecting an order of motion vector predictor candidates for the block responsive to a characteristic available at both the video encoder and a corresponding decoder. The characteristic excludes a mode in which the block is partitioned.

Abstract: An image decoding device (200) includes: a prediction signal generation unit (241D) configured to determine whether or not an application condition of BDOF processing is satisfied for each block, generate a prediction signal by executing the BDOF processing in a case where it is determined that the application condition is satisfied, and set the application condition based on a weight coefficient in a case where calculation is performed using pixel values of two reference frames or values calculated from the pixel values in the BDOF processing such that the application condition includes a condition on time distances between the two reference frames and a target frame.

Abstract: A picture prediction method includes: determining whether a merge mode is used for a current picture block; when the merge mode is used for the current picture block, determining whether a regular merge mode is available; when the regular merge mode is unavailable, and a high-layer syntax element sps_triangle_enabled_flag corresponding to a triangle partition mode (TPM), indicates that the TPM is forbidden to be used, determining a combined intra and inter prediction (CIIP) mode as a target merge mode used for the current picture block and predicting the current picture block based on the target merge mode.

Abstract: An example imaging sensor comprises a bulk silicon substrate and a pixel array. The pixel array comprises an active pixel region including an active pixel subarray, an optical black pixel region including an optical black pixel subarray, and an optical black dummy pixel region including an optical black dummy pixel subarray, the optical black dummy pixel region positioned between the active pixel region and the optical black pixel region. A near-infrared absorber is positioned between the active pixel region and the optical black pixel region, the near-infrared absorber comprising a material having a higher near-infrared absorption coefficient than that of silicon.

Abstract: A method for decoding a picture from a bitstream. The method includes decoding a tile partition structure from one or more syntax elements in the bitstream. The method includes determining a number of tiles N in the picture. The method includes decoding a number of partitions in the picture, wherein each partition comprises an integer number of tiles. The method includes deriving a size and/or location for a current partition, wherein deriving the size and/or location for the current partition comprises: decoding one or more location syntax elements for the current partition from the bitstream, deriving a top-left position of the current partition as a location of a first tile in raster scan order that is not included in one or more previously derived partition, and deriving the size and/or the location of the current partition from a value of the one or more location syntax element together with a size and/or location of the one or more previously derived partition.

Abstract: Methods and systems for inspecting a product, such as a wire harness, including product features for inspection. A camera of an inspection station may capture a product image. A machine learning (ML) model may detect one or more objects in the captured product image and provide, for each detected object, an identification of a class of the detected object and an identification of a region of the detected object in the captured product image. The class of the detected object may be either an acceptable product feature class or an unacceptable product feature class. The inspection station may display an enhanced product image that includes the captured product image to which the identification of the class of the detected object and the identification of the region of the detected object in the captured product image for each detected object have been added.

Abstract: The application relates to refined quantization steps in video coding. A method for video processing includes: determining, during a conversion between a current video block and a bitstream representation of a video including the current video block, two-level quantization parameters comprising a first level quantization parameter QP1 and a second level quantization parameter QP2 for the current video block; and performing, at least based on the two-level quantization parameters, a first level quantization and/or a second level quantization during the conversion, wherein the two-level quantization parameters correspond to different quantization precisions respectively.

Abstract: A holographic projection assembly for projecting a holographic image includes a housing that is positionable on a horizontal support surface. The housing is elongated thereby facilitating the housing to extend along a vertical axis when the housing is positioned on the horizontal support surface. A hologram emitter is integrated into the housing and the hologram emitter projects a hologram outwardly from the housing when the hologram emitter is turned on. In this way a user can view the hologram. A speaker is integrated into the housing to emit audible sound outwardly from the housing.

Abstract: A method for video decoding includes decoding prediction information for a current block in a current picture that is a part of a coded video sequence, the prediction information including a first syntax element and a second syntax element. The first syntax element indicates that a deblocking filter process is enabled for the current block, the deblocking filter process being applied to a boundary of the current block. The second syntax element indicates a number of samples to be used for calculating a boundary strength of the deblocking filter process. The method also includes determining the boundary strength of the deblocking filter process using the number of samples indicated by the second syntax element, and performing the deblocking filter process for the current block based on the boundary strength.

Abstract: A method of video processing includes performing a conversion between a current video block of a second color component of a video and a bitstream of the video using a cross-component prediction with multiple-parameter model (CCPMPM) in which samples of the current video block are predictively coded in the bitstream using a linear combination of samples of a first color component multiplied by linear coefficients and/or one or more offsets. The bitstream conforms to a format rule. The linear coefficients of the CCPMPM are determined using a first rule. The samples of the first color component are determined using a second rule.

Abstract: Video codec concepts which allows more effective video composition/merging and/or a more effective implementation of gradual decoding refresh are described along with concepts of allowing video composition/merging being more effective, for instance, in terms of complexity of the composition/merging task.

Abstract: An image decoding device includes: a prediction signal generation unit that generates a prediction signal by intra prediction, wherein in a block to which intra sub-partitions are applied, the prediction signal generation unit refers to a pixel of a decoded block adjacent to the block when generating prediction signals of all sub-blocks in the block.

Abstract: Encoding or decoding syntax information associated with video information can involve identifying a coding context associated with a syntax element of a current coding unit of the video information, wherein the identifying occurs without using a syntax element of a neighboring block, and encoding or decoding the syntax element of the current coding unit based on the coding context.

Abstract: A system for proctoring online exams includes a client-side computing system and a visual analytics system. The client-side computing system includes a camera configured to obtain video data corresponding to a user while taking an exam and one or more input devices configured to obtain interaction data, wherein the interaction data includes mouse movements of the user while taking the exam. The visual analytics system is configured to obtain the video data and the interaction data from the client-side computing system, analyze the exam data to detect abnormal behavior by the user based at least in part on mouse movement data, and generate one or more visualizations of the analyzed exam data to be used in determining whether or not the user has cheated during the exam.

Abstract: Methods and systems are provided for decoding at least one video stream. A method includes receiving a first network abstraction layer (NAL) unit of a first slice of a coded picture and a second VCL NAL unit of a second slice of the coded picture, the first VCL NAL unit having a first VCL NAL unit type and the second VCL NAL unit having a second VCL NAL unit type that is different from the first VCL NAL unit type, and decoding the coded picture, the decoding including determining a picture type of the coded picture based on the first VCL NAL unit type of the first VCL NAL unit and the second VCL NAL unit type of the second VCL NAL unit, or based on an indicator, received by the at least one processor, indicating that the coded picture includes mixed VCL NAL unit types.