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公开(公告)号：US11610138B2
公开(公告)日：2023-03-21
申请号：US16854913
申请日：2020-04-22
Applicant: salesforce.com, inc.
Inventor： Jessica Lundin , Owen Winne Schoppe , Alan Martin Ross , Brian J. Lonsdorf , David James Woodward , Sönke Rohde , Michael Reynolds Sollami , Chetan Ramaiah
IPC: G06V30/244 , G06N5/02 , G06F17/16 , G06F40/109 , G06N20/00 , G06N5/04 , G06T7/00
Abstract: A textual properties model is used to infer values for certain font properties of interest given certain text-related data, such as rendered text images. The model may be used for numerous purposes, such as aiding with document layout, identifying font families that are similar to a given font families, and generating new font families with specific desired properties. In some embodiments, the model is trained from a combination of synthetic data that is labeled with values for the font properties of interest, and partially-labeled data from existing “real-world” documents.
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公开(公告)号：US20220180581A1
公开(公告)日：2022-06-09
申请号：US17116944
申请日：2020-12-09
Applicant: salesforce.com, inc.
Inventor： Jessica Lundin , Michael Reynolds Sollami , Alan Martin Ross , Brian J. Lonsdorf , David James Woodward , Owen Winne Schoppe , Sönke Rohde
Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives a candidate image which may be an image or a video frame. The candidate image is then input into a neural network. The neural network may output coordinates and one or more dimensions representing one or more bounding boxes for inserting media content into the candidate image. The one or more bounding boxes may be transmitted with a request for a media content item to be displayed in a bounding box. In response to the request the media content item may be received, and the candidate image and the media content item overlaid on top of the candidate image within the bounding box may be displayed.
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公开(公告)号：US11657511B2
公开(公告)日：2023-05-23
申请号：US17162245
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Alan Martin Ross , Jessica Lundin , Michael Reynolds Sollami , Brian J. Lonsdorf , David J. Woodward , Owen Winne Schoppe , Sonke Rohde
Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives an image which may be an image or a video frame. The image is processed using a number of image processing techniques in order to automatically propose spaces for inserting media content onto the image. The proposed spaces may then be further analyzed using a heuristics-based approach to select bounding boxes for inserting media content. Subsequently, one or more media content items may be selected for insertion onto the bounding boxes on the image. The system may then cause a display of the image with the selected media content item overlaid onto the image within the selected bounding boxes.
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Patent Agency Ranking
公开(公告)号：US20220245820A1
公开(公告)日：2022-08-04
申请号：US17162245
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Alan Martin Ross , Jessica Lundin , Michael Reynolds Sollami , Brian J. Lonsdorf , David J. Woodward , Owen Winne Schoppe , Sonke Rohde
Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives an image which may be an image or a video frame. The image is processed using a number of image processing techniques in order to automatically propose spaces for inserting media content onto the image. The proposed spaces may then be further analyzed using a heuristics-based approach to select bounding boxes for inserting media content. Subsequently, one or more media content items may be selected for insertion onto the bounding boxes on the image. The system may then cause a display of the image with the selected media content item overlaid onto the image within the selected bounding boxes.
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公开(公告)号：US20220245322A1
公开(公告)日：2022-08-04
申请号：US17163162
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Jessica Lundin , Owen Winne Schoppe , Xing Han , Michael Reynolds Sollami , Brian J. Lonsdorf , Alan Martin Ross , David J. Woodward , Sonke Rohde
IPC: G06F40/103 , G06F40/284 , G06T11/60 , G06N3/04
Abstract: An online system generates a set of content item variations for a reference content item that include different styles of text for the content item. The different styles of text are generated by applying machine-learned style transfer models, for example, neural network based models to reference text of the reference content item. The text variations retain the textual content of the reference text but are synthesized with different styles. The online system can provide the content item variations to users on an online experimental platform to collect user interaction information that may indicate how users respond to different styles of text. The online system or the content providers can effectively target users with content items that include the style of text the users respond to based on the collected information.
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公开(公告)号：US11798210B2
公开(公告)日：2023-10-24
申请号：US17116944
申请日：2020-12-09
Applicant: salesforce.com, inc.
Inventor： Jessica Lundin , Michael Reynolds Sollami , Alan Martin Ross , Brian J. Lonsdorf , David James Woodward , Owen Winne Schoppe , Sönke Rohde
IPC: G06T11/60 , G06T7/70 , G06N3/08 , G06F18/214
CPC classification number: G06T11/60 , G06F18/214 , G06N3/08 , G06T7/70 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2210/12
Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives a candidate image which may be an image or a video frame. The candidate image is then input into a neural network. The neural network may output coordinates and one or more dimensions representing one or more bounding boxes for inserting media content into the candidate image. The one or more bounding boxes may be transmitted with a request for a media content item to be displayed in a bounding box. In response to the request the media content item may be received, and the candidate image and the media content item overlaid on top of the candidate image within the bounding box may be displayed.
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公开(公告)号：US11694018B2
公开(公告)日：2023-07-04
申请号：US17163162
申请日：2021-01-29
Applicant: salesforce.com, inc.
Inventor： Jessica Lundin , Owen Winne Schoppe , Xing Han , Michael Reynolds Sollami , Brian J. Lonsdorf , Alan Martin Ross , David J. Woodward , Sonke Rohde
IPC: G06F40/169 , G06F40/103 , G06N3/049 , G06T11/60 , G06F40/284
CPC classification number: G06F40/103 , G06F40/284 , G06N3/049 , G06T11/60
Abstract: An online system generates a set of content item variations for a reference content item that include different styles of text for the content item. The different styles of text are generated by applying machine-learned style transfer models, for example, neural network based models to reference text of the reference content item. The text variations retain the textual content of the reference text but are synthesized with different styles. The online system can provide the content item variations to users on an online experimental platform to collect user interaction information that may indicate how users respond to different styles of text. The online system or the content providers can effectively target users with content items that include the style of text the users respond to based on the collected information.
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公开(公告)号：US20210334666A1
公开(公告)日：2021-10-28
申请号：US16854913
申请日：2020-04-22
Applicant: salesforce.com, inc.
Inventor： Jessica Lundin , Owen Winne Schoppe , Alan Martin Ross , Brian J. Lonsdorf , David James Woodward , Sönke Rohde , Michael Reynolds Sollami , Chetan Ramaiah
IPC: G06N5/02 , G06N20/00 , G06F40/109 , G06F17/16
Abstract: A textual properties model is used to infer values for certain font properties of interest given certain text-related data, such as rendered text images. The model may be used for numerous purposes, such as aiding with document layout, identifying font families that are similar to a given font families, and generating new font families with specific desired properties. In some embodiments, the model is trained from a combination of synthetic data that is labeled with values for the font properties of interest, and partially-labeled data from existing “real-world” documents.
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