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公开(公告)号:US20240373008A1
公开(公告)日:2024-11-07
申请号:US18772875
申请日:2024-07-15
Applicant: LG Electronics Inc.
Inventor: Hilmi Enes EGILMEZ , Jana Ehmann , Onur G. GULERYUZ
IPC: H04N19/12 , H04N19/159 , H04N19/18 , H04N19/61
Abstract: The present invention, with respect to a method of processing video data, provides a method of processing video data, provides a method characterized by comprising the steps of: performing a clustering for the video data; generating at least one data cluster as a result of the clustering; generating at least one Graph laplacian matrix corresponding to the at least one data cluster; performing conversion optimization on the basis of multiple graph-based models, wherein the multiple graph-based models respectively include at least one graph laplacian matrix; and generating an optimized conversion matrix according to the results of performing the conversion optimization.
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2.
公开(公告)号:US20180146195A1
公开(公告)日:2018-05-24
申请号:US15577029
申请日:2016-05-26
Applicant: LG Electronics Inc. , University of Southern California
Inventor: Moonmo KOO , Sehoon YEA , Bumshik LEE , Amir SAID , Hilmi Enes EGILMEZ , Antonio ORTEGA
IPC: H04N19/122 , H04N19/625 , H04N19/61 , H04N19/176
Abstract: The present invention provides a method for decoding a video signal using an adaptive separable graph-based transform, comprising the steps of: receiving a transform index for a target block from the video signal, wherein the transform index indicates a graph-based transform to be applied to the target block; deriving a graph-based transform kernel corresponding to the transform index; and decoding the target block based on the graph-based transform kernel.
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公开(公告)号:US20170359584A1
公开(公告)日:2017-12-14
申请号:US15520968
申请日:2015-10-21
Applicant: LG ELECTRONICS INC.
Inventor: Amir SAID , Yung-Hsuan CHAO , Hilmi Enes EGILMEZ
IPC: H04N19/159 , H04N19/105 , H04N19/503 , H04N19/44 , H04N19/61 , H04N19/18
Abstract: The present invention provides a method for performing a graph-based prediction using a graph signal including obtaining a context signal; generating a graph signal based on a graph parameter set; obtaining a graph-based transform matrix based on the graph signal, wherein the graph-based transform matrix includes an eigenvector; obtaining a prediction vector using an optimal transform vector calculated through an optimization function; and generating a prediction signal using the prediction vector, where the optimization function has the context signal, an eigenvalue of a graph Laplacian matrix and the eigenvector as a variable.
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4.
公开(公告)号:US20170339422A1
公开(公告)日:2017-11-23
申请号:US15526897
申请日:2015-11-13
Applicant: LG ELECTRONICS INC.
Inventor: Amir SAID , Yung-Hsuan CHAO , Hilmi Enes EGILMEZ
IPC: H04N19/44 , H04N19/117 , H04N19/124 , H04N19/13
Abstract: The present invention provides a method for decoding a video signal using a graph-based transform including receiving a generalized graph signal including a graph parameter set; obtaining a graph-based transform kernel of a transform unit based on the graph parameter set and a predetermined penalty function; and decoding the transform unit using the graph-based transform kernel.
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公开(公告)号:US20220303537A1
公开(公告)日:2022-09-22
申请号:US17833335
申请日:2022-06-06
Applicant: LG Electronics Inc.
Inventor: Hilmi Enes EGILMEZ , Jana Ehmann , Onur G. GULERYUZ
IPC: H04N19/12 , H04N19/159 , H04N19/18 , H04N19/61
Abstract: The present invention, with respect to a method of processing video data, provides a method of processing video data, provides a method characterized by comprising the steps of: performing a clustering for the video data; generating at least one data cluster as a result of the clustering; generating at least one Graph laplacian matrix corresponding to the at least one data cluster; performing conversion optimization on the basis of multiple graph-based models, wherein the multiple graph-based models respectively include at least one graph laplacian matrix; and generating an optimized conversion matrix according to the results of performing the conversion optimization.
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6.
公开(公告)号:US20170318311A1
公开(公告)日:2017-11-02
申请号:US15521410
申请日:2015-10-23
Applicant: LG ELECTRONICS INC.
Inventor: Amir SAID , Hilmi Enes EGILMEZ
IPC: H04N19/60
CPC classification number: H04N19/60 , H04N19/103 , H04N19/107 , H04N19/12 , H04N19/124 , H04N19/14 , H04N19/176
Abstract: There is provided a method for decoding a video signal using a graph-based transform, the method comprising: receiving a template index for a target unit from the video signal, wherein the template index indicates a graph-based transform template to be applied to the target unit; deriving a graph-based transform matrix for the target unit corresponding to the template index; and decoding the target unit based on the graph-based transform matrix.
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7.
公开(公告)号:US20170280140A1
公开(公告)日:2017-09-28
申请号:US15512428
申请日:2015-07-14
Applicant: LG ELECTRONICS INC.
Inventor: Amir SAID , Hilmi Enes EGILMEZ , Yung-Hsuan CHAO
IPC: H04N19/134 , H04N19/176 , H04N19/60 , H04N19/124 , H04N19/122
CPC classification number: H04N19/134 , H04N19/122 , H04N19/124 , H04N19/147 , H04N19/176 , H04N19/46 , H04N19/60 , H04N19/649
Abstract: Disclosed herein is a method of performing an adaptive video coding, comprising: determining transform subsets including a group index and linear transforms with dimensions M×M and N×N, wherein the linear transforms correspond to at least one of a null transform and predefined transforms; selecting an optimal transform subset for a transform unit from the determined transform subsets, wherein each of rows and columns of the transform unit corresponds to different linear transform; and encoding the optimal transform subset.
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公开(公告)号:US20170257579A1
公开(公告)日:2017-09-07
申请号:US15514305
申请日:2015-06-24
Applicant: LG Electronics Inc.
Inventor: Amir SAID , Hilmi Enes EGILMEZ
CPC classification number: H04N5/357 , G06K9/36 , G06T9/00 , G06T9/008 , G06T9/20 , H04N5/217 , H04N19/14 , H04N19/593
Abstract: Disclosed herein is a method of processing a graph-based signal using a geometric primitive, comprising: specifying the geometric primitive to be used for calculating an edge weight; obtaining a parameter for each of the geometric primitive; calculating an edge weight for each of edges within the image based on the parameter; and encoding the image based on the edge weight.
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