Abstract: An image decoding method performed by a decoding apparatus, according to the present document, comprises the steps of: acquiring image information including chroma quantization parameter data of at least one chroma QP mapping table for chroma components, and prediction information and residual information regarding the chroma components; deriving the chroma QP mapping table on the basis of the chroma quantization parameter data; deriving a chroma quantization parameter for the chroma components on the basis of the chroma QP mapping table; deriving prediction samples for the chroma components on the basis of the prediction information; deriving residual samples on the basis of the residual information and the chroma quantization parameter; and generating a reconstructed picture on the basis of the prediction samples and the residual samples.

Abstract: A mechanism for processing video data is disclosed. Information in a sequence parameter set (SPS) in a versatile video coding (VVC) elementary stream is determined. A rule specifies a number of units in a tick (num_units_in_tick) and a time scale (time_scale), when present in the SPS, shall not change between video sequences in the VVC elementary stream. A conversion is performed between a visual media data and a media data file based on the SPS.

Abstract: A method, computer program, and computer system are provided for encoding/decoding video data. Video data including (1) a chroma component having a first nominal angle and a first delta angle and (2) a luma component having a second nominal angle and a second delta angle is received. An index associated with the first delta angle is parsed by an encoder and parsed by a decoder. The video data is encoded and/or decoded using intra prediction based on the parsed index.

Abstract: A coded data generation method of generating coded data of a plurality of bit rates in which an image is encoded includes the steps of: acquiring an evaluated value at distribution destinations of the generated coded data when the coded data is reproduced; and changing the bit rate of the coded data to be generated based on a distribution of the acquired evaluated value in all channels.

Abstract: The present disclosure relates to a method and system for pavement structural performance evaluation based on long-range laser vibration measurement. The method can more accurately evaluate the structural performance of the pavement by detecting the actual deflection value of the pavement during aircraft operation; By obtaining real-time deflection data of the airport runway, it is possible to detect changes in the structural performance of the airport runway in the long term without affecting the normal operation of the airport runway. The present invention has strong anti-interference ability, stable detection results, and can achieve non-contact, large-scale, and high-precision measurement of airport pavement deflection.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media to enhance texture image delivery and processing at a client device. For example, the disclosed systems can utilize a server-side compression combination that includes, in sequential order, a first compression pass, a decompression pass, and a second compression pass. By applying this compression combination to a texture image at the server-side, the disclosed systems can leverage both GPU-friendly and network-friendly image formats. For example, at a client device, the disclosed system can instruct the client device to execute a combination of decompression-compression passes on a GPU-network-friendly image delivered over a network connection to the client device.

Abstract: A method for video processing is provided to include: performing a conversion between a current video block of a video and a coded representation of current video block, wherein the conversion uses a coding mode in which the current video block is constructed based on a first domain and a second domain and/or chroma residue is scaled in a luma-dependent manner, and wherein information used for the coding mode is signaled in a parameter set that is different from a sequence parameter set (SPS), a video parameter set (VPS), a picture parameter set (PPS), or an adaptation parameter set (APS) used for carrying adaptive loop filtering (ALF) parameters.

Abstract: A method, computer program, and apparatus for decoding a predetermined block of a picture using intra-prediction by reading, for each of predetermined intra-prediction blocks, from a data stream, a mode index identifying a matrix-based intra-prediction mode. Samples of each predetermined intra-prediction block are predicted by computing a matrix-vector product between an input vector derived from reference samples and a prediction matrix associated with the identified matrix-based intra-prediction mode (k) and associating components of an output vector obtained by the matrix-vector product onto sample positions of the predetermined block. Further predetermined intra-predicted blocks of the picture are predicted to obtain a prediction signal. A transformation flag is decoded from the data stream using context adaptive binary arithmetic coding, and a prediction residual is decoded and re-transformed using a reverse transformation based on the transformation flag to obtain a prediction residual signal.

Abstract: Methods are provided for inter-prediction candidate index coding independent of the construction of the corresponding inter-prediction candidate list, i.e., a merging candidate list or an advanced motion vector predictor list. A maximum allowed number of inter-prediction candidates for an inter-prediction candidate list is used for encoding the inter-prediction candidate index in an encoded bit stream. The maximum allowed number may be pre-determined or may be selected by the encoder and encoded in the bit stream. A decoder may then decode the index using the maximum allowed number of inter-prediction candidates independent of the construction of the corresponding inter-prediction candidate list.

Abstract: A video coding mechanism is disclosed. The mechanism includes receiving a bitstream comprising a sequence parameter set (SPS) including a SPS video parameter set identifier (sps_video_parameter_set_id). The bitstream also comprises a coded picture in a set of video coding layer (VCL) network abstraction layer (NAL) units associated with a layer having a NAL unit header layer identifier (nuh_layer_id). A general layer index corresponding to the nuh_layer_id (GeneralLayerIdx[nuh_layer_id]) is set equal to zero when the sps_video_parameter_set_id is equal to zero. The coded picture is decoded from the VCL NAL units based on the GeneralLayerIdx[nuh_layer_id] to produce a decoded picture The decoded picture is forwarded for display as part of a decoded video sequence.

Abstract: Embodiments of the present disclosure relate to a method and an apparatus for determining a video bitrate, a computer device, and a storage medium, belonging to the field of video transcoding technologies. The method includes: selecting target video frames from video frames of a to-be-transcoded video according to a predefined interval; determining a pre-estimated video bitrate of the to-be-transcoded video according to bitrate feature information of the target video frames; obtaining a first relative relationship between the pre-estimated video bitrate and an actual video bitrate of the to-be-transcoded video; and determining a target video bitrate of the to-be-transcoded video according to the first relative relationship and bitrate requirement information of a target service platform, the target service platform being a service platform to which the to-be-transcoded video is applied after transcoded.

Abstract: A method of decoding an image, includes obtaining at least one offset for a picture, deriving a variable for scaling for the picture based on the at least one offset, and performing inter prediction based on the variable for scaling for the picture. The at least one offset is defined with a direction of scaling.

Abstract: The disclosure regards cross-component prediction and methods for deriving of a linear model for obtaining a first-component sample for a first-component block from an associated reconstructed second-component sample of a second-component block in the same frame, the method comprising determining the parameters of a linear equation representing a straight line passing through two points, each point being defined by two variables, the first variable corresponding to a second-component sample value, the second variable corresponding to a first-component sample value, based on reconstructed samples of both the first-component and the second-component; and deriving the linear model defined by the straight line parameters; wherein said determining the parameters uses integer arithmetic.

Abstract: A technique for interpolating positional information of a target in an image of a frame in which positional information of the target has not been acquired.

Abstract: A method, computer program, and computer system is provided for encoding or decoding video data. Video data including a chroma component and a luma component is received. One or more contexts for entropy coding chroma intra prediction modes are identified based on a co-located luma block at one or more pre-defined positions. The video data is decoded based on the identified contexts.

Abstract: An image decoding method performed by a decoding device according to the present document is characterized by including the steps of: acquiring chroma quantization parameter data of at least one chroma quantization parameter (QP) mapping table for chroma components; deriving the chroma QP mapping table on the basis of the chroma quantization parameter data; deriving chroma quantization parameters for the chroma components on the basis of the chroma QP mapping table; deriving residual samples for the chroma components on the basis of the chroma quantization parameters; and generating a reconstructed picture on the basis of the residual samples.

Abstract: A method of video decoding includes determining reconstructed samples of a first color component in a filter support region of a current picture that is a part of a coded video sequence, and performing a cross-component sample offset (CCSO) filter process on the reconstructed samples of the first color component in the filter support region to generate an output offset value. The method also includes scaling the output offset value based on the reconstructed samples of the first color component in the filter support region, and reconstructing samples of a second color component in the filter support region based on the scaled output offset value. The second color component is different from the first color component.

Abstract: Methods and apparatus for video processing are described. The video processing may include video encoding, video decoding, or video transcoding. One example video processing method includes performing a conversion between a video picture of a video and a bitstream of the video. A first syntax element in a first video unit level specifying a deblocking parameter offset for ? divided by 2 applied to a chroma component for one or more slices in a first video unit and a second syntax element in the first video unit level specifying a deblocking parameter offset for tC divided by 2 applied to the chroma component for the one or more slices in the first video unit are determined according to a rule in response to the first syntax element and the second syntax element not included in the bitstream.

Abstract: Methods and systems for in-loop filtering may comprise receiving a video comprising at least one frame. The frame may comprise at least one block of pixels. A content complexity of the block of pixels may be determined. A viewing characteristic of the video may be determined. A number of borders to be filtered may be determined based on at least one of the content complexity or the viewing characteristic. A deblocking filter strength may be determined based on at least one of the content complexity or the viewing characteristic. The number of borders of the block of pixels may be filtered according to the deblocking filter strength.