Qualcomm Incorporated

Nokia Corporation

Nokia Mobile Phones Limited

Velos Media, LLC

Shumaker & Sieffert, P.a.

Other

Nokia Technologies Oy

Marta Karczewicz

Vadim Seregin

Wei-Jung Chien

Jianle Chen

Li Feng Zhang

Geert Van Der Auwera

Rajan Laxman Joshi

Joel Sole Rojals

Muhammed Zeyd Coban

Adarsh Krishnan Ramasubramonian

Ying Hai Chen

Xianglin Wang

Xiang Yang Li

Han Huang

Xin Zhao

Peisong Chen

Bappaditya Ray

Liwei Guo

Dmytro Rusanovskyy

Krishnakanth Rapaka

Wei Pu

Nan Hu

Yan Ye

In Suk Chong

Amir Said

Luong Pham Van

Kai Zhang

Hsiao-Chiang Chuang

Hilmi Enes Egilmez

Yi-Wen Chen

Cheng-Teh Hsieh

Chun-Chi Chen

Hongtao Wang

Ye-Kui Wang

Feng Zou

Yunfei Zheng

Chao Pang

Sungwon Lee

Yao-Jen Chang

Yung-Hsuan Chao

Louis Joseph Kerofsky

Yu Han

Done Bugdayci Sansli

Yan Zhang

Yu-Chen Sun

Hongbin Liu

Woo-Shik Kim

Alican Nalci

Chengjie Tu

Zhi Zhang

Jani Lainema

Vijayaraghavan Thirumalai

Rahul P Panchal

Kevin Pascal Andre Reuze

Jie Dong

Yuriy Reznik

Yong He

Yang Yu

Bogdan-Paul Dobrin

Fnu Hendry

Ossi Kalevo

Chao-Hsiung Hung

Hyukjune Chung

Jewon Kang

Jaehong Chon

Ragip Kurceren

Rong Zhang

Xiang Li

Anand Meher Kotra

Giovanni Motta

Sanjeev Kumar

Justin Ridge

Akshay Gadde

Keming Cao

Thibaud Laurent Biatek

Venkata Meher Satchit Anand Kotra

Ankitesh Kumar Singh

Antti Hallapuro

Phoom Sagetong

Yong Wang

Siping Tao

Nikolai Konrad Leung

Kai Wang

Shu Xiao

Auke Joris Wiggers

Emre Baris Aksu

Tao Wang

Natan Jacobson

Andrew Edmund Turner

Jacek Nieweglowski

Seyfullah Halit Oguz

Po-Han Lin

Yekui Wang

Amit Rohatgi

Prasanjit Panda

Viktor Varsa

Guoxin Jin

An example device for coding video data includes memory configured to store the video data and one or more processors communicatively coupled to the memory. The one or more processors are configured to reduce a bit length of one or more input variables for a linear regression operation to generate one or more reduced bit length input variables, the input variables including at least one of a) one or more delta coordinates, b) one or more delta motion vectors, or c) a value representing a number of subblocks. The one or more processors are configured to perform the linear regression operation and derive an affine motion model based on the performing the linear regression on the one or more reduced bit length input variables. The one or more processors are configured to code a current block of the video data based on the affine motion model.

Bit-length control for linear regression-based affine merge candidate derivation

A method of encoding a point cloud includes determining, by one or more processors, a quantity of lasers used to capture light detection and ranging (LIDAR) data that represents the point cloud; and encoding, by the one or more processors, a laser index for a current node of the point cloud, wherein encoding the laser index comprises: obtaining a predicted laser index value of the current node; determining a residual laser index value for the current node, wherein determining the residual laser index value comprises constraining a sum of the residual laser index value and the predicted laser index value to be less than or equal to the determined quantity of lasers minus one; and encoding, in a bitstream, one or more syntax elements that represent the residual laser index value.

Clipping laser indices in predictive geometry coding for point cloud compression

A method of encoding or decoding video data includes constructing a list of chroma intra-prediction modes for a chroma block of a current block of the video data, wherein constructing includes adding intra-prediction modes of a first group to the list of chroma intra-prediction modes, the first group comprising two or more intra-prediction modes derived from intra-prediction modes of two or more co-located luma blocks of the current block that are co-located with the chroma block; determining an intra-prediction mode for the chroma block from the list of chroma intra-prediction modes; and encoding or decoding the chroma block based on the intra-prediction mode.

Intra chroma mode list construction for video coding

A video coder is configured to construct a merge candidate list of merge candidates, wherein the merge candidate list has N1 candidates, N1 being a positive integer value, reorder the merge candidates in the merge candidate list to create a reordered merge candidate list, reduce the reordered merge candidate list to create an output merge candidate list, wherein the output merge candidate list has N2 candidates, wherein N2 is less than N1, and code a block of video data using the output merge candidate list.

Merge candidate reordering in video coding

An example device includes memory configured to store the point cloud data and one or more processors configured to determine a first point of the point cloud data to be a first node of a first prediction tree branch. The one or more processors are configured to determine that a first azimuth difference between the first point and a second point of the point cloud data does not meet a first azimuth threshold, and based on that determination, determine the second point to be a second node of the first prediction tree branch. The one or more processors are configured to determine that a second azimuth difference between a third point of the point cloud data and a fourth point of the point cloud data meets the first azimuth threshold and based on that determination, determine the fourth point to be a first node of a second prediction tree branch.

Predictive geometry coding of point cloud

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.

Derivation of affine merge candidates with linear regression for video coding

A method of processing a point cloud includes determining that angular mode is enabled for encoding or decoding a current point of points in the point cloud, and parsing or signaling information for an azimuthal angle residual value for the current point independent of a radius value of the current point or a radius value of a previous point of the point cloud that is previous to the current point in decoding order. The azimuthal angle residual value is based on a difference between an azimuthal angle value of the current point and a predictor azimuthal angle value of the current point, and the azimuthal angle value of the current point is indicative an azimuthal angle of the current point based on a laser used to capture the points of the point cloud.

Predictive geometry coding for point cloud compression

A video coder may code a sign prediction syntax element that indicates whether a sign prediction hypothesis is correct for a transform coefficient. The video coder may code the sign prediction syntax element using a context-based coding process. The video coder may determine a context for coding the sign prediction syntax element based on a position of the transform coefficient in the block of video data. The context may be further based on a coding mode used to code the block.

Context modeling for sign prediction for video coding

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.

Bi-directional prediction boundary pixel padding with out-of-picture-boundary motion vectors

A video coder may adaptively determine whether to apply an inter-MTS (multiple transform set) mode to video data. The video coder may adaptively determine one or more of a maximum block size or a minimum block size for applying an inter-MTS mode. The video decoder may determine whether the inter-MTS mode is enabled for a block of video data based on a size of the block compared to one or more of the minimum block size or the maximum block size. and code the block using the inter-MTS mode based on the inter-MTS mode being enabled. Coding the block using the inter-MTS mode includes applying one or more transforms of a plurality of transforms to transform coefficients associated with the block of video data.

Flexible activation of multiple transform selection for inter-coding in video coding

A method of encoding point cloud data includes determining an amount by which a laser turns for determining points in a point cloud represented by the point cloud data, generating a syntax element indicative of the amount by which the laser turns, wherein a value of the syntax element is a defined value less than the amount by which the laser turns, and signaling the syntax element.

High level syntax refinements for geometry point cloud compression (G-PCC)

A method of encoding point cloud data comprises storing, in a buffer, a maximum coordinate of a pair of coordinates of an applicable node, wherein the applicable node is a most-recently encoded node with a same position as a current node along an applicable axis and the pair of coordinates are for axes different from the applicable axis; determining a context for a planar mode plane position of the current node, wherein determining the context for the planar mode plane position comprises determining, based on the maximum coordinate of the pair of coordinates of the applicable node, a distance value representing a distance between the current node and the applicable node; determining an increment value that indicates whether the distance value is greater than a threshold; and determining the context index based on the increment value; and entropy encoding the planar mode plane position using the determined context.

GPCC planar mode and buffer simplification

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.

Adaptive loop filter with samples before deblocking filter and samples before sample adaptive offsets

An example device for coding (encoding or decoding) video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: determine a first number of neighboring blocks to a current block of the video data that are intra-predicted; determine a second number of the neighboring blocks that are inter-predicted; determine a first weight value to be applied to intra-prediction samples of an intra-prediction block for the current block; determine a second weight value to be applied to inter-prediction samples of an inter-prediction block for the current block; generate a prediction block for the current block as a weighted combination of the intra-prediction block to which the first weight value is applied and the inter-prediction block to which the second weight value is applied; and code the current block using the prediction block.

Position-dependent intra-inter prediction combination in video coding

A method of coding video data comprises determining, based on a comparison of a threshold and a quantity of reference samples in a selected template, whether the selected template is allowed, wherein a mode index indicates which template from among a plurality of templates is the selected template, wherein each of the templates includes a different set of reconstructed samples that neighbor a current coding unit (CU) of a current picture of the video data; based on determining that the selected template is allowed and that a convolutional cross-component model (CCCM) mode is to be used, applying the CCCM mode to predict chroma samples of the current CU based on reconstructed luma samples of the current CU and the reference samples in the selected template; and; and encoding or decoding the current CU based on the predicted chroma samples of the current CU.

Template selection for intra prediction in video coding

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Marta Karczewicz