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公开(公告)号：US11669566B2
公开(公告)日：2023-06-06
申请号：US17565816
申请日：2021-12-30
Applicant: Adobe Inc.
Inventor： Saeid Motiian , Zhe Lin , Samarth Gulati , Pramod Srinivasan , Jose Ignacio Echevarria Vallespi , Baldo Antonio Faieta
IPC: G06F16/00 , G06F16/583 , G06F17/16 , G06F16/55 , G06F16/532 , G06V10/56 , G06V10/75 , G06V10/762
CPC classification number: G06F16/5838 , G06F16/532 , G06F16/55 , G06F17/16 , G06V10/56 , G06V10/758 , G06V10/763
Abstract: In implementations of multi-resolution color-based image search, an image search system determines a color vector for a query image based on a color histogram of the query image by concatenating two color histograms having different resolutions. The image search system can compute distance measures between the color vector of the query image and color vectors of candidate images. The image search system can select one or more of the candidate images to return based on the distance measures utilizing the distance measures as indication of color similarity of the candidate images to the query image.
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公开(公告)号：US20220121705A1
公开(公告)日：2022-04-21
申请号：US17565816
申请日：2021-12-30
Applicant: Adobe Inc.
Inventor： Saeid Motiian , Zhe Lin , Samarth Gulati , Pramod Srinivasan , Jose Ignacio Echevarria Vallespi , Baldo Antonio Faieta
IPC: G06F16/583 , G06F17/16 , G06F16/55 , G06F16/532
Abstract: In implementations of multi-resolution color-based image search, an image search system determines a color vector for a query image based on a color histogram of the query image by concatenating two color histograms having different resolutions. The image search system can compute distance measures between the color vector of the query image and color vectors of candidate images. The image search system can select one or more of the candidate images to return based on the distance measures utilizing the distance measures as indication of color similarity of the candidate images to the query image.
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公开(公告)号：US20230252071A1
公开(公告)日：2023-08-10
申请号：US18302201
申请日：2023-04-18
Applicant: Adobe Inc.
Inventor： Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F16/538 , G06F40/30 , G06F16/583 , G06F16/51 , G06F16/54
CPC classification number: G06F16/532 , G06F16/51 , G06F16/54 , G06F16/538 , G06F16/583 , G06F40/30
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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公开(公告)号：US11138257B2
公开(公告)日：2021-10-05
申请号：US16745143
申请日：2020-01-16
Applicant: Adobe Inc.
Inventor： Midhun Harikumar , Zhe Lin , Pramod Srinivasan , Jianming Zhang , Daniel David Miranda , Baldo Antonio Faieta
IPC: G06F16/532 , G06F3/0484 , G06T7/11 , G06F16/538 , G06F16/587 , G06T7/70
Abstract: Object search techniques for digital images are described. In the techniques described herein, semantic features are extracted on a per-object basis form a digital image. This supports location of objects within digital images and is not limited to semantic features of an entirety of the digital image as involved in conventional image similarity search techniques. This may be combined with indications a location of the object globally with respect to the digital image through use of a global segmentation mask, use of a local segmentation mask to capture post and characteristics of the object itself, and so on.
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公开(公告)号：US20210224312A1
公开(公告)日：2021-07-22
申请号：US16745143
申请日：2020-01-16
Applicant: Adobe Inc.
Inventor： Midhun Harikumar , Zhe Lin , Pramod Srinivasan , Jianming Zhang , Daniel David Miranda , Baldo Antonio Faieta
IPC: G06F16/532 , G06F3/0484 , G06T7/11 , G06T7/70 , G06F16/538 , G06F16/587
Abstract: Object search techniques for digital images are described. In the techniques described herein, semantic features are extracted on a per-object basis form a digital image. This supports location of objects within digital images and is not limited to semantic features of an entirety of the digital image as involved in conventional image similarity search techniques. This may be combined with indications a location of the object globally with respect to the digital image through use of a global segmentation mask, use of a local segmentation mask to capture post and characteristics of the object itself, and so on.
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Patent Agency Ranking
公开(公告)号：US11663264B2
公开(公告)日：2023-05-30
申请号：US16785410
申请日：2020-02-07
Applicant: Adobe Inc.
Inventor： Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F16/583 , G06F16/538 , G06F40/30 , G06F16/51 , G06F16/54
CPC classification number: G06F16/532 , G06F16/51 , G06F16/538 , G06F16/54 , G06F16/583 , G06F40/30
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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公开(公告)号：US20210248177A1
公开(公告)日：2021-08-12
申请号：US16785410
申请日：2020-02-07
Applicant: Adobe Inc.
Inventor： Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F40/30 , G06F16/51 , G06F16/583 , G06F16/538 , G06F16/54
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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公开(公告)号：US20210217215A1
公开(公告)日：2021-07-15
申请号：US16738359
申请日：2020-01-09
Applicant: Adobe Inc.
Inventor： Kate Sousa , Zhe Lin , Saeid Motiian , Pramod Srinivasan , Baldo Faieta , Alex Filipkowski
Abstract: Based on a received digital image and text, a neural network trained to identify candidate text placement areas within images may be used to generate a mask for the digital image that includes a candidate text placement area. A bounding box for the digital image may be defined for the text and based on the candidate text placement area, and the text may be superimposed onto the digital image within the bounding box.
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公开(公告)号：US11934448B2
公开(公告)日：2024-03-19
申请号：US18302201
申请日：2023-04-18
Applicant: Adobe Inc.
Inventor： Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F16/51 , G06F16/538 , G06F16/54 , G06F16/583 , G06F40/30
CPC classification number: G06F16/532 , G06F16/51 , G06F16/538 , G06F16/54 , G06F16/583 , G06F40/30
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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公开(公告)号：US11380033B2
公开(公告)日：2022-07-05
申请号：US16738359
申请日：2020-01-09
Applicant: Adobe Inc.
Inventor： Kate Sousa , Zhe Lin , Saeid Motiian , Pramod Srinivasan , Baldo Faieta , Alex Filipkowski
Abstract: Based on a received digital image and text, a neural network trained to identify candidate text placement areas within images may be used to generate a mask for the digital image that includes a candidate text placement area. A bounding box for the digital image may be defined for the text and based on the candidate text placement area, and the text may be superimposed onto the digital image within the bounding box.
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