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公开(公告)号：US12051006B2
公开(公告)日：2024-07-30
申请号：US17903991
申请日：2022-09-06
Applicant: Apple Inc.
Inventor： Gaurav Kapoor , Cecile M. Foret , Francesco Rossi , Kit-Man Wan , Umesh S. Vaishampayan , Etienne Belanger , Albert Antony , Alexey Marinichev , Marco Zuliani , Xiaojin Shi
CPC classification number: G06N3/10 , G06F8/41 , G06F8/443 , G06F8/4441 , G06N3/04 , G06N3/063 , G06N3/08 , G06F9/50 , G06N3/08 , G06N3/063 , G06N3/04 , G06N3/10
Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.
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公开(公告)号：US11907760B2
公开(公告)日：2024-02-20
申请号：US15711781
申请日：2017-09-21
Applicant: Apple Inc.
Inventor： Francesco Rossi , Marco Zuliani
IPC: G06F9/50
CPC classification number: G06F9/5016
Abstract: A method may include accessing a data processing architecture associated with a neural network to determine dependencies between intermediate data layers of the neural network; obtaining dimensions of the intermediate data layers in the neural network; calculating a minimum number of data storage portions for executing the neural network based on the dependencies; determining a memory allocation size for each respective data storage portion of the data storage portions based on the dimensions and dependencies; allocating memory on a storage device for each data storage portion in accordance with its respective determined memory allocation size.
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公开(公告)号：US11367163B2
公开(公告)日：2022-06-21
申请号：US16794824
申请日：2020-02-19
Applicant: Apple Inc.
Inventor： Francesco Rossi , Marco Zuliani , Bartlomiej W. Rymkowski , Albert Antony , Brian P. Keene , Xiaojin Shi
Abstract: Artistic styles extracted from source images may be applied to target images to generate stylized images and/or video sequences. The extracted artistic styles may be stored as a plurality of layers in one or more neural networks, which neural networks may be further optimized, e.g., via the fusion of various elements of the networks' architectures. The artistic style may be applied to the target images and/or video sequences using various optimization methods, such as the use of a first version of the neural network by a first processing device at a first resolution to generate one or more sets of parameters (e.g., scaling and/or biasing parameters), which parameters may then be mapped for use by a second version of the neural network by a second processing device at a second resolution. Analogous multi-processing device and/or multi-network solutions may also be applied to other complex image processing tasks for increased efficiency.
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公开(公告)号：US20200380639A1
公开(公告)日：2020-12-03
申请号：US16794824
申请日：2020-02-19
Applicant: Apple Inc.
Inventor： Francesco Rossi , Marco Zuliani , Bartlomiej W. Rymkowski , Albert Antony , Brian P. Keene , Xiaojin Shi
Abstract: Artistic styles extracted from source images may be applied to target images to generate stylized images and/or video sequences. The extracted artistic styles may be stored as a plurality of layers in one or more neural networks, which neural networks may be further optimized, e.g., via the fusion of various elements of the networks' architectures. The artistic style may be applied to the target images and/or video sequences using various optimization methods, such as the use of a first version of the neural network by a first processing device at a first resolution to generate one or more sets of parameters (e.g., scaling and/or biasing parameters), which parameters may then be mapped for use by a second version of the neural network by a second processing device at a second resolution. Analogous multi-processing device and/or multi-network solutions may also be applied to other complex image processing tasks for increased efficiency.
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Patent Agency Ranking
公开(公告)号：US20200372408A1
公开(公告)日：2020-11-26
申请号：US16878254
申请日：2020-05-19
Applicant: Apple Inc.
Inventor： Francesco Rossi , Vignesh Jagadeesh , Vinay Sharma , Marco Zuliani , Xiaojin Shi , Benjamin Poulain
Abstract: 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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36.发明授权公开(公告)号：US10706892B2
公开(公告)日：2020-07-07
申请号：US16199645
申请日：2018-11-26
Applicant: Apple Inc.
Inventor： Claus Molgaard , Brett M. Keating , George E. Williams , Marco Zuliani , Vincent Y. Wong , Frank Doepke , Ethan J. Tira-Thompson
Abstract: The invention relates to systems, methods, and computer readable media for responding to a user snapshot request by capturing anticipatory pre-snapshot image data as well as post-snapshot image data. The captured information may be used, depending upon the embodiment, to create archival image information and image presentation information that is both useful and pleasing to a user. The captured information may automatically be trimmed or edited to facilitate creating an enhanced image, such as a moving still image. Varying embodiments of the invention offer techniques for trimming and editing based upon the following: exposure, brightness, focus, white balance, detected motion of the camera, substantive image analysis, detected sound, image metadata, and/or any combination of the foregoing.
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37.发明授权公开(公告)号：US10170157B2
公开(公告)日：2019-01-01
申请号：US14865752
申请日：2015-09-25
Applicant: Apple Inc.
Inventor： Claus Molgaard , Brett M. Keating , George E. Williams , Marco Zuliani , Vincent Y. Wong , Frank Doepke , Ethan J. Tira-Thompson
Abstract: The invention relates to systems, methods, and computer readable media for responding to a user snapshot request by capturing anticipatory pre-snapshot image data as well as post-snapshot image data. The captured information may be used, depending upon the embodiment, to create archival image information and image presentation information that is both useful and pleasing to a user. The captured information may automatically be trimmed or edited to facilitate creating an enhanced image, such as a moving still image. Varying embodiments of the invention offer techniques for trimming and editing based upon the following: exposure, brightness, focus, white balance, detected motion of the camera, substantive image analysis, detected sound, image metadata, and/or any combination of the foregoing.
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38.发明申请公开(公告)号：US20170006251A1
公开(公告)日：2017-01-05
申请号：US15266460
申请日：2016-09-15
Applicant: Apple Inc.
Inventor： Brett Keating , Vincent Wong , Todd Sachs , Claus Molgaard , Michael Rousson , Elliott Harris , Justin Titi , Karl Hsu , Jeff Brasket , Marco Zuliani
Abstract: Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or “other.” Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the “other” category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.
Abstract translation: 描述了用于改善从一组共同拍摄的图像中保持图像的自动选择的系统和方法。 可以使用图像类型识别和图像质量度量的组合来识别该集合中的一个或多个图像作为保持器图像。 可以使用图像类型识别来将捕获的图像分类为例如三个或更多个类别。 类别可以包括纵向，动作或“其他”。根据所识别的类别，可以不同地分析图像以识别守护者图像。 对于肖像图像，可以使用操作来识别最佳面部组。 对于动作图像，该集合可以被划分为部分，使得从每个部分中选择的守护者图像讲述动作的故事。 对于“其他”类别，可以分析图像，以便选择对于所识别的感兴趣区域具有较高质量度量的图像。
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39.发明申请Method And Apparatus For Finding And Using Video Portions That Are Relevant To Adjacent Still Images 审中-公开用于查找和使用与相邻静止图像相关的视频部分的方法和装置公开(公告)号：US20160358634A1
公开(公告)日：2016-12-08
申请号：US14865752
申请日：2015-09-25
Applicant: Apple Inc.
Inventor： Claus Molgaard , Brett M. Keating , George E. Williams , Marco Zuliani , Vincent Y. Wong , Frank Doepke , Ethan J. Tira-Thompson
CPC classification number: G11B27/34 , G06K9/00268 , G06K9/00718 , G06K9/4661 , H04N5/23229 , H04N5/23245 , H04N5/2352 , H04N5/2353 , H04N5/2621
Abstract: The invention relates to systems, methods, and computer readable media for responding to a user snapshot request by capturing anticipatory pre-snapshot image data as well as post-snapshot image data. The captured information may be used, depending upon the embodiment, to create archival image information and image presentation information that is both useful and pleasing to a user. The captured information may automatically be trimmed or edited to facilitate creating an enhanced image, such as a moving still image. Varying embodiments of the invention offer techniques for trimming and editing based upon the following: exposure, brightness, focus, white balance, detected motion of the camera, substantive image analysis, detected sound, image metadata, and/or any combination of the foregoing.
Abstract translation: 本发明涉及通过捕获预先预先快照图像数据以及快照后图像数据来响应用户快照请求的系统，方法和计算机可读介质。 根据实施例，可以使用捕获的信息来创建对用户有用和令人愉快的档案图像信息和图像呈现信息。 捕获的信息可以自动修剪或编辑，以便于创建增强图像，例如移动的静止图像。 本发明的不同实施例提供了基于以下内容进行修剪和编辑的技术：曝光，亮度，焦点，白平衡，检测到的相机运动，实质图像分析，检测到的声音，图像元数据和/或前述的任何组合。
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