公开(公告)号：US20250088633A1

公开(公告)日：2025-03-13

申请号：US18960718

申请日：2024-11-26

Applicant: Intel Corporation

Inventor： Zhijun Lei ,  Ximin Zhang ,  Sang-hee Lee

IPC: H04N19/124 ,  H04N19/176 ,  H04N19/18 ,  H04N19/61

Abstract: Techniques related to video coding include content adaptive quantization that provides a selection between objective quality and subjective quality delta QP offsets. An adaptive method generates an objective quality delta QP offset that achieves a best peak signal-to-noise ratio (PSNR) and/or structural similarity (SSIM) score, which refers to a similarity between images. Also, the adaptive method generates a subjective quality delta QP offset that achieves the best video multi-method assessment fusion (VMAF) score and/or multi-scale structural similarity (MSSIM) score.

公开(公告)号：US12244807B2

公开(公告)日：2025-03-04

申请号：US18031563

申请日：2020-11-30

Applicant: Intel Corporation

Inventor： James Holland ,  Sang-hee Lee ,  Ximin Zhang ,  Zhan Lou

IPC: H04N7/12 ,  G06N20/00 ,  H04N19/126 ,  H04N19/149 ,  H04N19/172

Abstract: Techniques related to adaptive quantization matrix selection using machine learning for video coding are discussed. Such techniques include applying a machine learning model to generate an estimated quantization parameter for a frame and selecting a set of quantization matrices for encode of the frame from a number of sets of quantization matrices based on the estimated quantization parameter.

公开(公告)号：US20240135485A1

公开(公告)日：2024-04-25

申请号：US18460044

申请日：2023-09-01

Applicant: Intel Corporation

Inventor： Fan He ,  Yi Qian ,  Ning Luo ,  Yunbiao Lin ,  Changliang Wang ,  Ximin Zhang

IPC: G06T1/20 ,  G06N3/092 ,  G06T15/00

CPC classification number: G06T1/20 ,  G06N3/092 ,  G06T15/005

Abstract: The disclosure relates to tuning configuration parameters for graphics pipeline for better user experience. A device for graphics processing, comprising: hardware engines; a graphics pipeline at least partly implemented by the hardware engines; and a tuner, coupled to the hardware engines and the graphics pipeline, the tuner to: collect statuses of the device during runtime for a previous frame; determine configuration parameters based on the collected statuses, the configuration parameters associated with three-dimensional 3D rendering, pre-processing and video encoding of the graphics pipeline; and tune the graphics pipeline with the determined configuration parameters for processing a next frame.

公开(公告)号：US20230034367A1

公开(公告)日：2023-02-02

申请号：US17955223

申请日：2022-09-28

Applicant: Intel Corporation

Inventor： Ximin Zhang ,  Yi-Jen Chiu ,  Keith Rowe

IPC: H04N19/117 ,  H04N19/82 ,  H04N19/186 ,  H04N19/172

Abstract: Example methods, apparatus, systems and articles of manufacture to implement adaptive loop filter classification and selection for video coding are disclosed. Examples disclosed herein determine whether a collection of available adaptive loop filter sets associated with luma components of the input picture is empty. When the collection of available adaptive loop filter sets is not empty, disclosed examples also enable adaptive loop filtering for the luma components of the input picture, and select at least one of the collection of available adaptive loop filter sets to include in a selection of adaptive loop filter sets for the input picture, with the selection based on an order in which ones of the available adaptive loop filter sets in the collection were derived. Some disclosed examples additionally or alternatively perform block classification to determine accumulated class statistics for derivation of an adaptive loop filter set associated with the input picture.

公开(公告)号：US20220408097A1

公开(公告)日：2022-12-22

申请号：US17764162

申请日：2019-11-14

Applicant: Intel Corporation

Inventor： Yunbiao Lin ,  Changliang Wang ,  Ximin Zhang ,  Fan He ,  Jill Boyce ,  Sri Ranjan SRIKANTAM

IPC: H04N19/146 ,  H04N19/142 ,  H04N19/184 ,  H04N19/172

Abstract: An example apparatus for adaptively encoding video frames includes a network analyzer to predict an instant bitrate based on channel throughput feedback received from a network. The apparatus also includes a content analyzer to generate ladder info based on a received frame. The apparatus further includes an adaptive decision executer to determine a frame rate, a video resolution, and a target frame size based on the predicted instant bitrate and the ladder outputs. The apparatus further includes an encoder to encode the frame based on the frame rate, the video resolution, and the target frame size.

公开(公告)号：US20210105476A1

公开(公告)日：2021-04-08

申请号：US17125463

申请日：2020-12-17

Applicant: Intel Corporation

Inventor： Ximin Zhang ,  Sang-hee Lee ,  Keith W. Rowe

IPC: H04N19/126 ,  H04N19/146 ,  H04N19/172 ,  H04N19/159 ,  H04N19/142

Abstract: Techniques related to coding video using adaptive quantization rounding offsets for use in transform coefficient quantization are discussed. Such techniques may include determining the value of a quantization rounding offset for a picture of a video sequence based on evaluating a maximum coding bit limit of the picture, a quantization parameter of the picture, and parameters corresponding to the video.

公开(公告)号：US20210067785A1

公开(公告)日：2021-03-04

申请号：US16950367

申请日：2020-11-17

Applicant: Intel Corporation

Inventor： Ximin Zhang ,  Sang-hee Lee ,  Keith W. Rowe

IPC: H04N19/159 ,  H04N19/70 ,  H04N19/179 ,  H04N19/176 ,  G06N3/08

Abstract: Techniques related to quantization parameter estimation for coding intra and scene change frames are discussed. Such techniques include generating features based on an intra or scene change frame including a proportion of smooth blocks and one or both of a measure of block variance and a prediction distortion, and applying a machine learning model to generate an estimated quantization parameter for encoding the intra or scene change frame.

公开(公告)号：US20200327702A1

公开(公告)日：2020-10-15

申请号：US16914083

申请日：2020-06-26

Applicant: INTEL CORPORATION

Inventor： Chen Wang ,  Ximin Zhang ,  Huan Dou ,  Yi-Jen Chiu ,  Sang-Hee Lee

IPC: G06T9/00 ,  G06T3/40 ,  H04N19/30 ,  H04N19/132 ,  H04N19/159 ,  H04N19/184 ,  H04N19/176 ,  G06K9/62 ,  G06N3/08

Abstract: Techniques related to accelerated video enhancement using deep learning selectively applied based on video codec information are discussed. Such techniques include applying a deep learning video enhancement network selectively to decoded non-skip blocks that are in low quantization parameter frames, bypassing the deep learning network for decoded skip blocks in low quantization parameter frames, and applying non-deep learning video enhancement to high quantization parameter frames.

公开(公告)号：US10200698B2

公开(公告)日：2019-02-05

申请号：US15232613

申请日：2016-08-09

Applicant: INTEL CORPORATION

Inventor： Ximin Zhang ,  Sang-Hee Lee

IPC: H04N19/186 ,  H04N19/172 ,  H04L12/26 ,  H04N19/13 ,  H04N19/174 ,  H04N19/124 ,  H04N19/31 ,  H04N19/176 ,  H04N19/137

Abstract: Techniques related to determining chroma quantization parameters for video coding are discussed. Such techniques may include generating first and second chroma quantization parameter offsets for first and second picture of a video sequence having a hierarchical coding structure such that the second chroma quantization parameter offset is greater than or equal to the first chroma quantization parameter offset in response to the first picture having a higher quality priority than the second picture.

公开(公告)号：US09872026B2

公开(公告)日：2018-01-16

申请号：US14737790

申请日：2015-06-12

Applicant: Intel Corporation

Inventor： Ximin Zhang ,  Sang-Hee Lee ,  Dmitry E. Ryzhov

IPC: H04B1/66 ,  H04N19/132 ,  H04N19/114 ,  H04N19/124 ,  H04N19/13 ,  H04N19/139 ,  H04N19/142 ,  H04N19/177 ,  H04N19/179 ,  H04N19/196 ,  H04N19/52 ,  H04N19/577 ,  H04N19/159 ,  H04N19/172 ,  H04N19/117 ,  H04N19/146 ,  H04N19/82

CPC classification number: H04N19/132 ,  H04N19/114 ,  H04N19/117 ,  H04N19/124 ,  H04N19/13 ,  H04N19/139 ,  H04N19/142 ,  H04N19/146 ,  H04N19/159 ,  H04N19/172 ,  H04N19/177 ,  H04N19/179 ,  H04N19/197 ,  H04N19/52 ,  H04N19/577 ,  H04N19/82

Abstract: Techniques related to video coding with sample adaptive offset coding are discussed. Such techniques may include setting a sample adaptive offset coding flag for a picture of a group of pictures based at least in part on a comparison of an available coding bit limit of the picture to a first threshold and a quantization parameter of the picture to a second threshold. In some examples, such techniques may also include setting the sample adaptive offset coding flag based on a coding structure associated with coding the group of pictures.