公开(公告)号：US11989201B2

公开(公告)日：2024-05-21

申请号：US17383009

申请日：2021-07-22

Applicant: Adobe Inc.

Inventor： Akash Rupela ,  Piyush Gupta ,  Nupur Kumari ,  Bishal Deb ,  Balaji Krishnamurthy ,  Ankita Sarkar

IPC: G06F16/22 ,  G06F3/0481 ,  G06F16/248 ,  G06F16/26 ,  G06F16/28 ,  G06F18/213 ,  G06F18/2137

CPC classification number: G06F16/26 ,  G06F3/0481 ,  G06F16/2264 ,  G06F16/248 ,  G06F16/283 ,  G06F18/213 ,  G06F18/2137

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that generate and render a varied-scale-topological construct for a multidimensional dataset to visually represent portions of the multidimensional dataset at different topological scales. In certain implementations, for example, the disclosed systems generate and combine (i) an initial topological construct for a multidimensional dataset at one scale and (ii) a local topological construct for a subset of the multidimensional dataset at another scale to form a varied-scale-topological construct. To identify a region from an initial topological construct to vary in scale, the disclosed systems can determine the relative densities of subsets of multidimensional data corresponding to regions of the initial topological construct and select one or more such regions to change in scale.

公开(公告)号：US20210349915A1

公开(公告)日：2021-11-11

申请号：US17383009

申请日：2021-07-22

Applicant: Adobe Inc.

Inventor： Akash Rupela ,  Piyush Gupta ,  Nupur Kumari ,  Bishal Deb ,  Balaji Krishnamurthy ,  Ankita Sarkar

IPC: G06F16/26 ,  G06F16/22 ,  G06F16/28 ,  G06F16/248 ,  G06F3/0481 ,  G06K9/62

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that generate and render a varied-scale-topological construct for a multidimensional dataset to visually represent portions of the multidimensional dataset at different topological scales. In certain implementations, for example, the disclosed systems generate and combine (i) an initial topological construct for a multidimensional dataset at one scale and (ii) a local topological construct for a subset of the multidimensional dataset at another scale to form a varied-scale-topological construct. To identify a region from an initial topological construct to vary in scale, the disclosed systems can determine the relative densities of subsets of multidimensional data corresponding to regions of the initial topological construct and select one or more such regions to change in scale.

公开(公告)号：US11100127B2

公开(公告)日：2021-08-24

申请号：US16368415

申请日：2019-03-28

Applicant: Adobe Inc.

Inventor： Akash Rupela ,  Piyush Gupta ,  Nupur Kumari ,  Bishal Deb ,  Balaji Krishnamurthy ,  Ankita Sarkar

IPC: G06F16/26 ,  G06F16/22 ,  G06F16/28 ,  G06F16/248 ,  G06F3/0481 ,  G06K9/62

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that generate and render a varied-scale-topological construct for a multidimensional dataset to visually represent portions of the multidimensional dataset at different topological scales. In certain implementations, for example, the disclosed systems generate and combine (i) an initial topological construct for a multidimensional dataset at one scale and (ii) a local topological construct for a subset of the multidimensional dataset at another scale to form a varied-scale-topological construct. To identify a region from an initial topological construct to vary in scale, the disclosed systems can determine the relative densities of subsets of multidimensional data corresponding to regions of the initial topological construct and select one or more such regions to change in scale.

公开(公告)号：US20200311100A1

公开(公告)日：2020-10-01

申请号：US16368415

申请日：2019-03-28

Applicant: Adobe Inc.

Inventor： Akash Rupela ,  Piyush Gupta ,  Nupur Kumari ,  Bishal Deb ,  Balaji Krishnamurthy ,  Ankita Sarkar

IPC: G06F16/26 ,  G06F16/248 ,  G06F16/28 ,  G06F16/22

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that generate and render a varied-scale-topological construct for a multidimensional dataset to visually represent portions of the multidimensional dataset at different topological scales. In certain implementations, for example, the disclosed systems generate and combine (i) an initial topological construct for a multidimensional dataset at one scale and (ii) a local topological construct for a subset of the multidimensional dataset at another scale to form a varied-scale-topological construct. To identify a region from an initial topological construct to vary in scale, the disclosed systems can determine the relative densities of subsets of multidimensional data corresponding to regions of the initial topological construct and select one or more such regions to change in scale.