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公开(公告)号：US20230237247A1
公开(公告)日：2023-07-27
申请号：US18295049
申请日：2023-04-03
Applicant: Dropbox, Inc.
Inventor： Nils Peter Welinder , Peter N Belhumeur , Ying Xiong , Jongmin Baek , Simon Kozlov , Thomas Berg , David J Kriegman
IPC: G06F40/123 , G06T7/194 , G06T11/00 , G06F16/93 , G06T5/00 , G06F40/166 , G06F40/106 , G06F40/197 , G06V20/40 , G06V30/40 , G06V30/413 , G06V30/414 , G06V10/10 , G06V10/44
CPC classification number: G06F40/123 , G06T7/194 , G06T11/001 , G06F16/93 , G06T5/007 , G06F40/166 , G06F40/106 , G06F40/197 , G06V20/46 , G06V30/40 , G06V30/413 , G06V30/414 , G06V10/10 , G06V10/44 , G06T2210/22 , G06T5/002 , G06T2207/30176 , G06T2207/20056 , G06T2207/20081 , G06T2207/20084 , G06F3/04842
Abstract: The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.
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公开(公告)号：US20230237246A1
公开(公告)日：2023-07-27
申请号：US18295043
申请日：2023-04-03
Applicant: Dropbox, Inc.
Inventor： Nils Peter Welinder , Peter N Belhumeur , Ying Xiong , Jongmin Baek , Simon Kozlov , Thomas Berg , David J Kriegman
IPC: G06F40/123 , G06T7/194 , G06T11/00 , G06F16/93 , G06T5/00 , G06F40/166 , G06F40/106 , G06F40/197 , G06V20/40 , G06V30/40 , G06V30/413 , G06V30/414 , G06V10/10 , G06V10/44
CPC classification number: G06F40/123 , G06T7/194 , G06T11/001 , G06F16/93 , G06T5/007 , G06F40/166 , G06F40/106 , G06F40/197 , G06V20/46 , G06V30/40 , G06V30/413 , G06V30/414 , G06V10/10 , G06V10/44 , G06T2210/22 , G06T5/002 , G06T2207/30176 , G06T2207/20056 , G06T2207/20081 , G06T2207/20084 , G06F3/04842
Abstract: The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.
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公开(公告)号：US11620439B2
公开(公告)日：2023-04-04
申请号：US17323838
申请日：2021-05-18
Applicant: DROPBOX, INC.
Inventor： Nils Peter Welinder , Peter N. Belhumeur , Ying Xiong , Jongmin Baek , Simon Kozlov , Thomas Berg , David J. Kriegman
IPC: G06F40/166 , G06T7/194 , G06T11/00 , G06F16/93 , G06T5/00 , G06F40/106 , G06F40/123 , G06F40/197 , G06V10/10 , G06V10/44 , G06V20/40 , G06V30/40 , G06V30/413 , G06V30/414 , G06F3/04842 , G06T11/60 , G06F3/12 , G06F40/103 , G06F40/169 , G06V10/30 , G06F17/00 , G06V10/24 , G06V30/418
Abstract: The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.
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公开(公告)号：US20200380320A1
公开(公告)日：2020-12-03
申请号：US16999616
申请日：2020-08-21
Applicant: Dropbox, Inc.
Inventor： Thomas Berg , Peter Neil Belhumeur
Abstract: Computer-implemented techniques for sematic image retrieval. According to one technique, digital images are classified into N number of categories based on their visual content. The classification provides a set of N-dimensional image vectors for the digital images. Each image vector contains up to N number of probability values for up to N number of corresponding categories. An N-dimensional image match vector is generated that projects an input keyword query into the vector space of the set of image vectors by computing the vector similarities between a word vector for the input query and a word vector for each of the N number of categories. Vector similarities between the image match vectors and the set of image vectors can be computed to determine images semantically relevant to the input query.
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15.发明申请公开(公告)号：US20200259777A1
公开(公告)日：2020-08-13
申请号：US16789200
申请日：2020-02-12
Applicant: Dropbox, Inc.
Inventor： Aditi Jain , Manveer Singh Chawla , Thomas Berg , Swapnil Zarekar , Robert Kajic , Karandeep Johar , Aaron Feldstein , Walter Kim , Joe Nudell , Jenny Dong , Jared Wilson , Luke Thompson , David Kriegman
Abstract: Techniques are provided for delayed processing for arm policy determination for content management system messaging, including, during a delayed processing window, receiving reward data for arm actions taken, where the arm actions were chosen based on a previous version of an arm choice policy, and the previous version of the arm choice policy was determined based on a previous set of reward data for a previous set of arm actions taken. When the delayed processing window has closed, a new arm choice policy is determined based at least in part on the action-reward data, and the previous set of reward data and/or the previous arm choice policy. After a request to choose an arm choice is received, a particular arm action to take is determined based on the new arm choice policy. This chosen arm is provided in response to the request.
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Patent Agency Ranking
公开(公告)号：US10318113B2
公开(公告)日：2019-06-11
申请号：US15207270
申请日：2016-07-11
Applicant: DROPBOX, INC.
Inventor： Peter N. Belhumeur , David J. Kriegman , Thomas Berg
IPC: G06F3/048 , G06F3/0482 , G06F3/0484 , G06F3/0481 , G06F3/0485 , G06F3/0488 , G06K9/46 , G06F16/50
Abstract: One or more embodiments of a digital content system allow a user to conveniently search and/or navigate through a collection of digital content items. In particular, a user can interact with a client device to search for and identify one or more digital content items within a collection of digital content items. For example, the digital content system may provide a photo from a collection of photos via a graphical user interface. The digital content system can receive a user input identifying a selection of one or more visual features within the photo. Based on the selected visual feature(s), the digital content system may identify photos from the collection of photos that include the identified visual feature(s) and provide access to the identified photos via the graphical user interface.
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公开(公告)号：US20170193337A1
公开(公告)日：2017-07-06
申请号：US14986585
申请日：2015-12-31
Applicant: DROPBOX, INC.
Inventor： David J. Kriegman , Peter N. Belhumeur , Thomas Berg , Nils Peter Welinder
CPC classification number: G06K9/6277 , G06K9/62 , G06K9/6212 , G06K9/6292 , G06K9/66
Abstract: The present disclosure is directed toward systems and methods that enable more accurate digital object classification. In particular, disclosed systems and methods address inaccuracies in digital object classification introduced by variations in classification scores. Specifically, in one or more embodiments, disclosed systems and methods generate probability functions utilizing digital test objects and transform classifications scores into normalized classification scores utilizing probability functions. Disclosed systems and methods utilize normalized classification scores to more accurately classify and identify digital objects in a variety of applications.
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公开(公告)号：US20240330568A1
公开(公告)日：2024-10-03
申请号：US18744349
申请日：2024-06-14
Applicant: Dropbox, Inc.
Inventor： Nils Peter Welinder , Peter N. Belhumeur , Ying Xiong , Jongmin Baek , Simon Kozlov , Thomas Berg , David J. Kriegman
IPC: G06F40/123 , G06F3/04842 , G06F3/12 , G06F16/93 , G06F40/103 , G06F40/106 , G06F40/166 , G06F40/169 , G06F40/197 , G06T5/70 , G06T5/90 , G06T7/194 , G06T11/00 , G06T11/60 , G06V10/10 , G06V10/24 , G06V10/30 , G06V10/44 , G06V20/40 , G06V30/40 , G06V30/413 , G06V30/414 , G06V30/418
CPC classification number: G06F40/123 , G06F16/93 , G06F40/106 , G06F40/166 , G06F40/197 , G06T5/90 , G06T7/194 , G06T11/001 , G06V10/10 , G06V10/44 , G06V20/46 , G06V30/40 , G06V30/413 , G06V30/414 , G06F3/04842 , G06F3/126 , G06F40/103 , G06F40/169 , G06T5/70 , G06T11/60 , G06T2207/20056 , G06T2207/20081 , G06T2207/20084 , G06T2207/30176 , G06T2210/22 , G06V10/242 , G06V10/30 , G06V30/418
Abstract: The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.
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公开(公告)号：US12014132B2
公开(公告)日：2024-06-18
申请号：US18295043
申请日：2023-04-03
Applicant: Dropbox, Inc.
Inventor： Nils Peter Welinder , Peter N Belhumeur , Ying Xiong , Jongmin Baek , Simon Kozlov , Thomas Berg , David J Kriegman
IPC: G06T7/194 , G06F3/04842 , G06F3/12 , G06F16/93 , G06F40/103 , G06F40/106 , G06F40/123 , G06F40/166 , G06F40/169 , G06F40/197 , G06T5/90 , G06T11/00 , G06T11/60 , G06V10/10 , G06V10/30 , G06V10/44 , G06V20/40 , G06V30/40 , G06V30/413 , G06V30/414 , G06T5/70 , G06V10/24 , G06V30/418
CPC classification number: G06F40/123 , G06F16/93 , G06F40/106 , G06F40/166 , G06F40/197 , G06T5/90 , G06T7/194 , G06T11/001 , G06V10/10 , G06V10/44 , G06V20/46 , G06V30/40 , G06V30/413 , G06V30/414 , G06F3/04842 , G06F3/126 , G06F40/103 , G06F40/169 , G06T5/70 , G06T11/60 , G06T2207/20056 , G06T2207/20081 , G06T2207/20084 , G06T2207/30176 , G06T2210/22 , G06V10/242 , G06V10/30 , G06V30/418
Abstract: The present disclosure is directed toward systems and methods to quickly and accurately identify boundaries of a displayed document in a live camera image feed, and provide a document boundary indicator within the live camera image feed. For example, systems and methods described herein utilize different display document detection processes in parallel to generate and provide a document boundary indicator that accurately corresponds with a displayed document within a live camera image feed. Thus, a user of the mobile computing device can easily see whether the document identification system has correctly identified the displayed document within the camera viewfinder feed.
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20.发明公开公开(公告)号：US20230185769A1
公开(公告)日：2023-06-15
申请号：US17548520
申请日：2021-12-11
Applicant: Dropbox, Inc.
Inventor： David Lichtenberg , Thomas Berg , Christopher Lesniewski-Laas , Brandon Obas , Mingming Liu , Zachary Smetana , Bryan Guillemette , Panashe Machinda Fundira , Kevin Li , Vidit Bhargava
IPC: G06F16/16 , G06F3/0482 , G06N20/00
CPC classification number: G06F16/168 , G06F3/0482 , G06N20/00
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and/or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders. In example implementations, the classification system generates and utilizes a classification model to automatically organize existing content items into existing folders.
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