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公开(公告)号：US20210192078A1
公开(公告)日：2021-06-24
申请号：US17129579
申请日：2020-12-21
申请人： Apple Inc.
发明人： Stephen Cosman , Kalu Onuka Kalu , Marcelo Lotif Araujo , Michael Chatzidakis , Thi Hai Van Do , Alexis Hugo Louis Durocher , Guillaume Tartavel , Sowmya Gopalan , Vignesh Jagadeesh , Abhishek Bhowmick , John Duchi , Julien Freudiger , Gaurav Kapoor , Ryan M. Rogers
摘要： Embodiments described herein provide for a non-transitory machine-readable medium storing instructions to cause one or more processors to receive, at a client device, a machine learning model from a server, detect a usage pattern for a content item, store an association between the content item and the detected usage pattern in local data, train the machine learning model using local data for the content item with the detected usage pattern to generate a trained machine learning model, generate an update for the machine learning model, privatize the update for the machine learning model, and transmit the privatized update for the machine learning model to the server.
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公开(公告)号：US20200380289A1
公开(公告)日：2020-12-03
申请号：US16848315
申请日：2020-04-14
申请人： Apple Inc.
摘要： Various methods for utilizing a saliency heatmaps are described. The methods include obtaining image data corresponding to an image of a scene, obtaining a saliency heatmap for the image of the scene based on a saliency network, wherein the saliency heatmap indicates a likelihood of saliency for a corresponding portion of the scene, and manipulating the image data based on the saliency heatmap. In embodiments, the saliency heatmap may be produced using a trained machine learning model. The saliency heatmap may be used for various image processing tasks, such as determining which portion(s) of a scene to base an image capture device's autofocus, auto exposure, and/or white balance operations upon. According to some embodiments, one or more bounding boxes may be generated based on the saliency heatmap, e.g., using an optimization operation, which bounding box(es) may be used to assist or enhance the performance of various image processing tasks.
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公开(公告)号：US20200372408A1
公开(公告)日：2020-11-26
申请号：US16878254
申请日：2020-05-19
申请人： Apple Inc.
发明人： Francesco Rossi , Vignesh Jagadeesh , Vinay Sharma , Marco Zuliani , Xiaojin Shi , Benjamin Poulain
摘要： A method includes receiving input data at a trained machine learning model that includes a common part and task-specific parts, receiving an execution instruction that identifies one or more processing tasks to be performed, processing the input data using the common part of the trained machine learning model to generate intermediate data, and processing the intermediate data using one or more of the task-specific parts of the trained machine learning model based on the execution instruction to generate one or more outputs.
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公开(公告)号：US11887310B2
公开(公告)日：2024-01-30
申请号：US17078086
申请日：2020-10-22
申请人： Apple Inc.
发明人： Vignesh Jagadeesh , Atila Orhon
IPC分类号： G06T7/00 , G06T7/11 , G06T7/10 , G06F17/18 , G06N20/00 , G06N3/047 , G06V10/762 , G06V10/77 , G06V10/82
CPC分类号： G06T7/11 , G06F17/18 , G06N3/047 , G06N20/00 , G06T7/10 , G06V10/763 , G06V10/7715 , G06V10/82
摘要： A first subset of pixels of an image may be labeled with an object identifier based on user interactions with the image. Pixel data representing the pixels of the image may be passed through an embedding neural network model to generate pixel embedding vectors. A prototype embedding vector associated with the object identifier may be generated based pixel embedding vectors corresponding to the first subset of pixels. For each pixel of a second subset of pixels of the image, a probability that the pixel should be labeled with the object identifier may be determined based on the prototype embedding vector and pixel embedding vectors corresponding to the second subset of pixels. Pixels of the second subset of pixels may be labeled with the object identifier based on the determined probabilities, and the pixels in the image may be segmented based on the pixels labeled with the object identifier.
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公开(公告)号：US11699097B2
公开(公告)日：2023-07-11
申请号：US16878254
申请日：2020-05-19
申请人： Apple Inc.
发明人： Francesco Rossi , Vignesh Jagadeesh , Vinay Sharma , Marco Zuliani , Xiaojin Shi , Benjamin Poulain
CPC分类号： G06N20/00 , G06F9/3885
摘要： A method includes receiving input data at a trained machine learning model that includes a common part and task-specific parts, receiving an execution instruction that identifies one or more processing tasks to be performed, processing the input data using the common part of the trained machine learning model to generate intermediate data, and processing the intermediate data using one or more of the task-specific parts of the trained machine learning model based on the execution instruction to generate one or more outputs.
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公开(公告)号：US11671696B2
公开(公告)日：2023-06-06
申请号：US17484844
申请日：2021-09-24
申请人： Apple Inc.
发明人： Grant Paul , Francisco Alvaro Munoz , Jeffrey A. Brasket , Brandon J. Corey , Thomas Deselaers , Nathan De Vries , Ryan S. Dixon , Craig M. Federighi , Vignesh Jagadeesh , James N. Jones , Nicholas Lupinetti , Behkish J. Manzari , Vinay Sharma , Xin Wang , Marco Zuliani
IPC分类号： H04N5/232 , G06V30/14 , G06V30/148 , G06F40/58 , G06V20/62 , G06F3/0481 , G06F3/04842 , G06F3/04845 , G06F3/0484 , G06F3/04886
CPC分类号： H04N5/23218 , G06F3/0481 , G06F3/0484 , G06F3/04842 , G06F3/04845 , G06F3/04886 , G06F40/58 , G06V20/63 , G06V30/1456 , G06V30/153 , H04N5/23216 , H04N5/232933 , H04N5/232935 , H04N5/232939 , G06F2203/04806
摘要： The present disclosure generally relates to methods and user interfaces for managing visual content at a computer system. In some embodiments, methods and user interfaces for managing visual content in media are described. In some embodiments, methods and user interfaces for managing visual indicators for visual content in media are described. In some embodiments, methods and user interfaces for inserting visual content in media are described. In some embodiments, methods and user interfaces for identifying visual content in media are described. In some embodiments, methods and user interfaces for translating visual content in media are described.
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公开(公告)号：US20230020678A1
公开(公告)日：2023-01-19
申请号：US17878742
申请日：2022-08-01
申请人： Apple Inc.
发明人： Eric M. Circlaeys , Guillaume Vergnaud , Samantha E. Fierro , Kevin Aujoulet , Benedikt M. Hirmer , Alexandre N. Lopoukhine , Kevin Bessiere , Vignesh Jagadeesh , Rohan Chandra
IPC分类号： G06F3/0484 , G06F3/0482
摘要： In some implementations, a computing device may generate a day view, month views, and year view that show cards specific to each view. The cards include images, videos, and/or other assets from a media library that reflect a corresponding time frame of the card on which the assets are displayed. A selected view is presented in a graphical user interface (GUI) for interaction with a user of the media library. Upon selection of an asset displayed to the GUI, the view is switched to show more assets from a time frame similar to the selected asset while maintaining a focus on the selected asset.
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公开(公告)号：US11520465B2
公开(公告)日：2022-12-06
申请号：US16560104
申请日：2019-09-04
申请人： Apple Inc.
发明人： Eric Circlaeys , Guillaume Vergnaud , Samantha E. Fierro , Kevin Aujoulet , Benedikt M. Hirmer , Alexandre N. Lopoukhine , Kevin Bessiere , Vignesh Jagadeesh , Rohan Chandra
IPC分类号： G06F3/0484 , G06F3/0482 , G06F16/44 , G06F3/0485
摘要： In some implementations, a computing device may generate a day view, month views, and year view that show cards specific to each view. The cards include images, videos, and/or other assets from a media library that reflect a corresponding time frame of the card on which the assets are displayed. A selected view is presented in a graphical user interface (GUI) for interaction with a user of the media library. Upon selection of an asset displayed to the GUI, the view is switched to show more assets from a time frame similar to the selected asset while maintaining a focus on the selected asset.
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公开(公告)号：US11308345B2
公开(公告)日：2022-04-19
申请号：US16848315
申请日：2020-04-14
申请人： Apple Inc.
摘要： Various methods for utilizing a saliency heatmaps are described. The methods include obtaining image data corresponding to an image of a scene, obtaining a saliency heatmap for the image of the scene based on a saliency network, wherein the saliency heatmap indicates a likelihood of saliency for a corresponding portion of the scene, and manipulating the image data based on the saliency heatmap. In embodiments, the saliency heatmap may be produced using a trained machine learning model. The saliency heatmap may be used for various image processing tasks, such as determining which portion(s) of a scene to base an image capture device's autofocus, auto exposure, and/or white balance operations upon. According to some embodiments, one or more bounding boxes may be generated based on the saliency heatmap, e.g., using an optimization operation, which bounding box(es) may be used to assist or enhance the performance of various image processing tasks.
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公开(公告)号：US20220237887A1
公开(公告)日：2022-07-28
申请号：US17659377
申请日：2022-04-15
申请人： Apple Inc.
摘要： Various methods for utilizing a saliency heatmaps are described. The methods include obtaining image data corresponding to an image of a scene, obtaining a saliency heatmap for the image of the scene based on a saliency network, wherein the saliency heatmap indicates a likelihood of saliency for a corresponding portion of the scene, and manipulating the image data based on the saliency heatmap. In embodiments, the saliency heatmap may be produced using a trained machine learning model. The saliency heatmap may be used for various image processing tasks, such as determining which portion(s) of a scene to base an image capture device's autofocus, auto exposure, and/or white balance operations upon. According to some embodiments, one or more bounding boxes may be generated based on the saliency heatmap, e.g., using an optimization operation, which bounding box(es) may be used to assist or enhance the performance of various image processing tasks.
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