Abstract: A device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: determine that a boundary block of a picture of the video data is bi-directional inter-predicted using a first motion vector and a second motion vector, the boundary block having an edge that touches an edge of the picture; decode the picture, including decoding the boundary block; form a first intermediate padding block using the first motion vector; form a second intermediate padding block using the second motion vector; form a padding block using the first intermediate padding block and the second intermediate padding block; and assign padding values of the padding block to a padding region of the picture neighboring the boundary block on an opposite side of the edge of the picture.

Abstract: A method for coding a block of video data using affine mode includes determining a refined affine model for the current block of video data from a linear regression process using a base motion vector field and a guidance motion vector field as inputs to the linear regression process. The method further includes determining affine merge candidates for the current block using the refined affine model, and coding the current block of video data using the affine merge candidates.

Abstract: In an example, a method of processing video data may include inferring a pixel scan order for a first palette mode encoded block of video data without receiving a block-level syntax element having a value representative of the pixel scan order for the first palette mode encoded block. The method may include decoding the first palette mode encoded block of video data using the inferred pixel scan order. The method may include receiving a block-level syntax element having a value representative of a pixel scan order for a second palette mode encoded block of video data. The method may include determining the pixel scan order for the second palette mode encoded block of video data based on the received block-level syntax element. The method may include decoding the second palette mode encoded block of video data using the determined pixel scan order.

Abstract: A video decoder for decoding multi-layer video data can be configured to maintain a decoded picture buffer (DPB) for storing reference pictures for a plurality of layers, wherein the plurality of layers comprise at least a first layer and a second layer; prior to decoding a current picture of an access unit of the first layer, perform a picture output and removal process on the DPB, wherein to perform the picture output and removal process on the DPB, the one or more processors are further configured to remove from the DPB only decoded pictures that belong to the first layer; and after removing a last decoding unit of the current picture from a coded picture buffer (CPB), perform a picture bumping process across all layers of the DPB.

Abstract: A video coder can be configured to code video data by determining a first block size threshold for a block of video data; determining a second block size threshold, wherein the second block size threshold is smaller than the first block size threshold; partitioning the block of video data into smaller sub-blocks; in response to determining that a first partition of the partitioned block is smaller or equal to the first block size threshold, determining that blocks within the partition belong to a parallel estimation area; and in response to determining that a second partition of the partitioned block is smaller or equal to the second block size threshold, determining that blocks within the second partition belong to an area for a shared candidate list.

Abstract: A video decoder can be configured to apply a first stage adaptive loop filter (ALF) to a reconstructed sample by determining a first class index for the reconstructed sample, selecting a filter from a first set of filters based on the first class index, and applying the filter from the first set of filters to the reconstructed sample to determine a first intermediate sample value; apply a second stage ALF to the reconstructed sample by determining a second class index for the reconstructed sample; select a second filter from a second set of filters based on the second class index, applying the second filter to the reconstructed sample to determine a first sample modification value, and determining a second sample modification value based on the first intermediate sample value; and determine a filtered reconstructed sample based on the reconstructed sample and the first and second sample modification values.

Abstract: In one example, a device for decoding video data includes one or more processors implemented in circuitry and configured to: determine that a value for a syntax element representing a number of profile-tier-level (PTL) data structures in a video parameter set (VPS) of a bitstream is equal to a total number of output layer sets (OLSs) specified for the VPS; in response to determining that the value for the syntax element representing the number of profile-tier-level data structures in the VPS is equal to the total number of OLSs specified for the VPS, infer values for OLS PTL index values, without explicitly decoding values for the OLS PTL index values; and decode video data of one or more OLSs using corresponding PTL data structures of the PTL data structures in the VPS according to the inferred values for the OLS PTL index values.

Abstract: An example device for decoding video data includes memory configured to store the video data and one or more processors implemented in circuitry and communicatively coupled to the memory. The one or more processors are configured to reshape a pixel domain reference template block using a forward mapping function into a mapped domain reference template block and derive local illumination compensation (LIC) model parameters from the mapped domain reference template block and a mapped domain neighboring reconstruction template block. The one or more processors are configured to apply the LIC model parameters to motion-compensated prediction signals and decode the video data based on the application of the LIC model parameters.

Abstract: A device for decoding video data determines a pre-filtered reconstructed block of video data; applies one or more of a deblocking filter or a sample adaptive offset filter to the pre-filtered reconstructed block to determine a filtered reconstructed block; applies an adaptive loop filter (ALF) to the filtered reconstructed block to determine a final filtered reconstructed block, wherein to apply the ALF to the filtered reconstructed block, the device is further configured to determine a difference value based on a difference between a value of a current sample of the filtered reconstructed block and a value of a pre-filtered neighboring sample; apply a filter to the difference value to determine a sample modification value; and determine a final filtered sample value based on the sample modification value.

Abstract: A video decoder may be configured to determine a motion vector and a motion vector precision for a current block; identify a current block template within the current picture; search within a search area for a final reference block template that corresponds to the current block template, wherein to search within the search area, the one or more processors are further configured to: identify an initial reference block template based on the motion vector, search other reference block templates around the initial reference block template using a step size that is set to an initial step size, and iteratively reduce the step size from the initial step size until the step size is set to a final step size that equals the motion vector precision; determine a prediction block for the current block based on the final reference block template.

Abstract: A device for decoding video data can be configured to determine that a block is coded in an overlapped block motion compensation (OBMC) mode; determine a first prediction block for the block using a first motion vector for the block; determine a second prediction block for the block using a second motion vector, wherein the second motion is a motion vector of a neighboring block of the block; select an OBMC blending process from a plurality of available OBMC blending processes; blend the first prediction block and the second prediction block using the selected OBMC blending process to determine a blended block; and reconstruct the block using the blended block.

Abstract: A video coder is configured to determine a reference block of a reference picture for prediction of a current block of a current picture using motion information and to generate a set of reference samples for the current block of the current picture. To generate the set of reference samples, the video coder is configured to perform reference sample clipping on the reference block of the reference picture based on a size of the reference picture. The video coder is further configured to generate a prediction block for the current block of the current picture based on the set of reference samples.

Abstract: A method includes determining one or more context values for at least one context used for encoding or decoding a current slice or picture, determining that a buffer for storing sets of temporal initialization points from two or more slices or pictures for context-based arithmetic coding is full, determining a first set of temporal initialization points associated with a slice or picture, from among the two or more slices or pictures, based on at least one of a slice type, a temporal identification value, or a quantization parameter (QP) value of the slice or picture, removing the first set of temporal initialization points that is associated with the slice or picture, and storing a second set of temporal initialization points associated with the current slice or picture, wherein the second set of temporal initialization points are based on the determined one or more context values.

Abstract: A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.

Abstract: Example techniques and devices are disclosed. An example device for coding video data includes memory configured to store the video data and one or more processors implemented in circuitry and coupled to the memory. The one or more processors are configured to determine whether an entry in a reference picture list for a current picture is equal to no reference picture. Based on the entry being equal to no reference picture, the one or more processors are configured to determine additional information associated with the entry. The one or more processors are configured to check a constraint for the entry based on the additional information and code the current picture in accordance with the constraint.

Abstract: Example techniques are described for coding video data by obtaining a block of video data, obtaining an adaptive parameter set, determining a set of adaptive loop filter parameters for a plurality of filters for the block of video data based on the adaptive parameter set, wherein a plurality of adaptive loop parameters of the set of adaptive loop filter parameters are signaled using the same signaling parameter for each of the plurality of filters of the adaptive parameter set, and coding the block of video data using the set of adaptive loop filter parameters. The example techniques can be performed as part of an encoding or decoding process and/or by an encoder or a decoder.

Abstract: An example device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: generate an intra-prediction block for a current block of video data using an angular intra-prediction mode, the angular intra-prediction mode being an upper-right angular intra-prediction mode or a lower-left angular intra-prediction mode; determine a prediction direction of the angular intra-prediction mode; for at least one sample of the intra-prediction block for the current block: calculate a gradient term for the at least one sample along the prediction direction; and combine a value of an intra-predicted sample of the intra-prediction block at a position of the at least one sample of the intra-prediction block with the gradient term to produce a value of the at least one sample of the intra-prediction block; and decode the current block using the intra-prediction block.

Abstract: A video encoder may signal a set of values for one or more deblocking filter parameters at a high level parameter set. A video decoder may receive and decode the set of values. The video encoder may also encode an index to the set of values at a lower level. The video decoder may decode the index and then use the index to determine the particular value from the set of values to determine the deblocking filter parameter.

Abstract: A device for decoding video data can be configured to store a table of history-based motion vector predictors (HMVPs); determine motion information for a first block of the video data; add the motion information for the first block to the table of HMVPs in response to determining that the first block is located at a bottom-right corner of a motion estimation region (MER); and use the table of HMVPs to decode a second block of the video data.

Abstract: An example device for decoding video data includes one or more processors implemented in circuitry and configured t: form first and second prediction blocks using first and second motion vectors and combine the first and second prediction blocks according to BDOF to form a final prediction block. For at least one sample location, the one or more processors are configured to determine that a first predictor for the at least one sample location is outside of a boundary of the first reference picture; determine that a second predictor for the at least one sample location is within a boundary of the second reference picture; set the first predictor equal to the second predictor; and determine a final BDOF value for a sample at the at least one sample location using the first predictor and the second predictor.