Patents by Inventor Gavin Stuart Peter Miller

Gavin Stuart Peter Miller has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11146381
    Abstract: Embodiments provide traceability of edits to a document, i.e., a verifiable and immutable provenance chain for the document. Systems and methods enable traceability of edits, by encoding, for states of the document, a fingerprint (e.g., a cryptographic hash of the document's contents) and an edit history within a block written to a distributed ledger (e.g., a blockchain). The ledger is maintained via a self-organizing peer-to-peer distributed ledger network. Once added to the ledger, the contents of a block (e.g., the document's fingerprint and edit history) are immutable and the integrity of the edit history encoded in the ledger is secure. The algorithm that generates the fingerprint is sensitive to edits of the document. The non-corruptible fingerprint encoded in the ledger is employable to detect any edits that are not included in the encoded edit history and/or inconsistent with a currently available version of the document.
    Type: Grant
    Filed: November 16, 2018
    Date of Patent: October 12, 2021
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Xuejun Xu, Max Gray Edell, John Bevil Bates, Matthew Keith Albright
  • Patent number: 11132349
    Abstract: An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: September 28, 2021
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20210090353
    Abstract: Image compensation for an occluding direct-view augmented reality system is described. In one or more embodiments, an augmented reality apparatus includes an emissive display layer for presenting emissive graphics to an eye of a user and an attenuation display layer for presenting attenuation graphics between the emissive display layer and a real-world scene to block light of the real-world scene from the emissive graphics. A light region compensation module dilates an attenuation graphic based on an attribute of an eye of a viewer, such as size of a pupil, to produce an expanded attenuation graphic that blocks additional light to compensate for an unintended light region. A dark region compensation module camouflages an unintended dark region with a replica graphic in the emissive display layer that reproduces an appearance of the real-world scene in the unintended dark region. A camera provides the light data used to generate the replica graphic.
    Type: Application
    Filed: December 2, 2020
    Publication date: March 25, 2021
    Applicant: Adobe Inc.
    Inventor: Gavin Stuart Peter Miller
  • Patent number: 10891804
    Abstract: Image compensation for an occluding direct-view augmented reality system is described. In one or more embodiments, an augmented reality apparatus includes an emissive display layer for presenting emissive graphics to an eye of a user and an attenuation display layer for presenting attenuation graphics between the emissive display layer and a real-world scene to block light of the real-world scene from the emissive graphics. A light region compensation module dilates an attenuation graphic based on an attribute of an eye of a viewer, such as size of a pupil, to produce an expanded attenuation graphic that blocks additional light to compensate for an unintended light region. A dark region compensation module camouflages an unintended dark region with a replica graphic in the emissive display layer that reproduces an appearance of the real-world scene in the unintended dark region. A camera provides the light data used to generate the replica graphic.
    Type: Grant
    Filed: August 27, 2018
    Date of Patent: January 12, 2021
    Assignee: Adobe Inc.
    Inventor: Gavin Stuart Peter Miller
  • Publication number: 20200401380
    Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
    Type: Application
    Filed: August 31, 2020
    Publication date: December 24, 2020
    Applicant: Adobe Inc.
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Patent number: 10847117
    Abstract: An augmented reality display alternates between displaying color frames and alpha frames to generate composite images for transparency control. A display processor includes two sets of buffers, each set including a color frame buffer and an alpha frame buffer. One set of buffers is used to provide data to the display while new video data is being written into the other set of buffers. The display processor switches which set of buffers is providing data and which set of buffers is having new video data written into them. By switching the alpha and color frame buffers in sets, a pair of color frame buffer and alpha frame buffer are always the current set of buffers to provide data as the output. If a frame drop occurs and the next color frame or alpha frame is not ready, the set of buffers is not switched to avoid disturbing flashing visual artifacts.
    Type: Grant
    Filed: May 13, 2019
    Date of Patent: November 24, 2020
    Assignee: Adobe Inc.
    Inventors: Tenell Glen Rhodes, Jr., Gavin Stuart Peter Miller, Li-Yi Wei, Qi Sun
  • Publication number: 20200365114
    Abstract: An augmented reality display alternates between displaying color frames and alpha frames to generate composite images for transparency control. A display processor includes two sets of buffers, each set including a color frame buffer and an alpha frame buffer. One set of buffers is used to provide data to the display while new video data is being written into the other set of buffers. The display processor switches which set of buffers is providing data and which set of buffers is having new video data written into them. By switching the alpha and color frame buffers in sets, a pair of color frame buffer and alpha frame buffer are always the current set of buffers to provide data as the output. If a frame drop occurs and the next color frame or alpha frame is not ready, the set of buffers is not switched to avoid disturbing flashing visual artifacts.
    Type: Application
    Filed: May 13, 2019
    Publication date: November 19, 2020
    Applicant: Adobe Inc.
    Inventors: Tenell Glen Rhodes, JR., Gavin Stuart Peter Miller, Li-Yi Wei, Qi Sun
  • Patent number: 10795647
    Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
    Type: Grant
    Filed: October 16, 2017
    Date of Patent: October 6, 2020
    Assignee: Adobe, Inc.
    Inventors: Thomas William Randall Jacobs, Peter Raymond Fransen, Kevin Gary Smith, Kent Andrew Edmonds, Jen-Chan Jeff Chien, Gavin Stuart Peter Miller
  • Patent number: 10783431
    Abstract: Image search techniques and systems involving emotions are described. In one or more implementations, a digital medium environment of a content sharing service is described for image search result configuration and control based on a search request that indicates an emotion. The search request is received that includes one or more keywords and specifies an emotion. Images are located that are available for licensing by matching one or more tags associated with the image with the one or more keywords and as corresponding to the emotion. The emotion of the images is identified using one or more models that are trained using machine learning based at least in part on training images having tagged emotions. Output is controlled of a search result having one or more representations of the images that are selectable to license respective images from the content sharing service.
    Type: Grant
    Filed: November 11, 2015
    Date of Patent: September 22, 2020
    Assignee: Adobe Inc.
    Inventors: Zeke Koch, Gavin Stuart Peter Miller, Jonathan W. Brandt, Nathan A. Carr, Radomir Mech, Walter Wei-Tuh Chang, Scott D. Cohen, Hailin Jin
  • Patent number: 10783409
    Abstract: Font replacement based on visual similarity is described. In one or more embodiments, a font descriptor includes multiple font features derived from a visual appearance of a font by a font visual similarity model. The font visual similarity model can be trained using a machine learning system that recognizes similarity between visual appearances of two different fonts. A source computing device embeds a font descriptor in a document, which is transmitted to a destination computing device. The destination compares the embedded font descriptor to font descriptors corresponding to local fonts. Based on distances between the embedded and the local font descriptors, at least one matching font descriptor is determined. The local font corresponding to the matching font descriptor is deemed similar to the original font. The destination computing device controls presentations of the document using the similar local font. Computation of font descriptors can be outsourced to a remote location.
    Type: Grant
    Filed: July 3, 2019
    Date of Patent: September 22, 2020
    Assignee: Adobe Inc.
    Inventors: Hailin Jin, Zhaowen Wang, Gavin Stuart Peter Miller
  • Patent number: 10733262
    Abstract: Attribute control for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components based on fixed and variable attributes specified for these digital content components. Initially, the service provider system receives a component request, requesting that the service provider system provide the digital content components for incorporation with the digital content. The component request specifies fixed and variable content attributes for the provided digital content components. A fixed content attribute is an attribute that is to be included in the provided digital content components.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: August 4, 2020
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20200218709
    Abstract: An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.
    Type: Application
    Filed: March 23, 2020
    Publication date: July 9, 2020
    Applicant: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Publication number: 20200162236
    Abstract: Embodiments provide traceability of edits to a document, i.e., a verifiable and immutable provenance chain for the document. Systems and methods enable traceability of edits, by encoding, for states of the document, a fingerprint (e.g., a cryptographic hash of the document's contents) and an edit history within a block written to a distributed ledger (e.g., a blockchain). The ledger is maintained via a self-organizing peer-to-peer distributed ledger network. Once added to the ledger, the contents of a block (e.g., the document's fingerprint and edit history) are immutable and the integrity of the edit history encoded in the ledger is secure. The algorithm that generates the fingerprint is sensitive to edits of the document. The non-corruptible fingerprint encoded in the ledger is employable to detect any edits that are not included in the encoded edit history and/or inconsistent with a currently available version of the document.
    Type: Application
    Filed: November 16, 2018
    Publication date: May 21, 2020
    Inventors: Gavin Stuart Peter Miller, Xuejun Xu, Max Gray Edell, John Bevil Bates, Matthew Keith Albright
  • Publication number: 20200162266
    Abstract: Embodiments provide traceability of edits to a document, i.e., a verifiable and immutable provenance chain for the document. In particular, embodiments facilitate providing analytics services for a distributed ledger. In implementation, a unique identifier associated with a digital document can be received from a remote computing device. Based on the received unique identifier, it is determined that the distributed ledger includes a first transaction corresponding to a first transitioned state of the digital document and a second transaction corresponding to a second transitioned state of the digital document. Each transaction includes the unique identifier, a first fingerprint of the digital document generated at a first time of a transitioned state, and a second fingerprint of the digital document generated at a second time of a previously transitioned state.
    Type: Application
    Filed: November 16, 2018
    Publication date: May 21, 2020
    Inventors: Gavin Stuart Peter Miller, Xuejun Xu, Max Gray Edell, John Bevil Bates
  • Patent number: 10657118
    Abstract: An update basis for updating digital content in a digital medium environment is described. The digital content is updated by incorporating new digital content components from a service provider system, such as a stock content service, to keep the digital content from seeming stale to client device users. The service provider system controls provision of digital content components according to an update basis described in a component request. In part, component requests ask that the service provider system provide digital content components for incorporation with digital content. Component requests also describe a timing basis with which digital content components are to be provided as updates. By way of example, the timing basis may correspond to a time interval (e.g., daily, weekly, monthly, seasonally, times of day, and so on), receiving user input in relation to the digital content (e.g., a navigation input to a web page), and so forth.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: May 19, 2020
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Kevin Gary Smith, Kent Andrew Edmonds, Govind P. Balakrishnan
  • Patent number: 10565472
    Abstract: In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: February 18, 2020
    Assignee: Adobe Inc.
    Inventors: Zhe Lin, Yufei Wang, Radomir Mech, Xiaohui Shen, Gavin Stuart Peter Miller
  • Patent number: 10552730
    Abstract: An intuitive object-generation experience is provided by employing an autoencoder neural network to reduce the dimensionality of a procedural model. A set of sample objects are generated using the procedural model. In embodiments, the sample objects may be selected according to visual features such that the sample objects are uniformly distributed in visual appearance. Both procedural model parameters and visual features from the sample objects are used to train an autoencoder neural network, which maps a small number of new parameters to the larger number of procedural model parameters of the original procedural model. A user interface may be provided that allows users to generate new objects by adjusting the new parameters of the trained autoencoder neural network, which outputs procedural model parameters. The output procedural model parameters may be provided to the procedural model to generate the new objects.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: February 4, 2020
    Assignee: ADOBE INC.
    Inventors: Mehmet Ersin Yumer, Radomir Mech, Paul John Asente, Gavin Stuart Peter Miller
  • Patent number: 10546429
    Abstract: An augmented reality (AR) mirror system is described. In an example, the AR mirror system includes a sensor, a display device, a semi-reflecting surface, a processing system, and computer-readable storage media having instructions stored thereon. The instructions are executable by the processing system to cause display of augmented reality (AR) digital content by the display device to be simultaneously viewable with a reflection of a physical object.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: January 28, 2020
    Assignee: Adobe Inc.
    Inventors: Tenell Glen Rhodes, Jr., Jose Ignacio Echevarria Vallespi, Gavin Stuart Peter Miller
  • Patent number: 10521967
    Abstract: Digital content interaction and navigation techniques and systems in virtual and augmented reality are described. In one example, techniques are employed to aid user interaction within a physical environment in which the user is disposed while viewing a virtual or augmented reality environment. In another example, techniques are described to support a world relative field of view and a fixed relative field of view. The world relative field of view is configured to follow motion of the user (e.g., movement of the user's head or mobile phone) within the environment to support navigation to different locations within the environment. The fixed relative field of view is configured to remain fixed during this navigation such that digital content disposed in this field of view remains at that relative location to a user's field of view.
    Type: Grant
    Filed: July 25, 2018
    Date of Patent: December 31, 2019
    Assignee: Adobe Inc.
    Inventors: Henricus Maria Cabanier, Yuyan Song, Brian David Williams, Cory Lynn Edwards, Byungmoon Kim, Gavin Stuart Peter Miller
  • Patent number: 10467529
    Abstract: In embodiments of convolutional neural network joint training, a computing system memory maintains different data batches of multiple digital image items, where the digital image items of the different data batches have some common features. A convolutional neural network (CNN) receives input of the digital image items of the different data batches, and classifier layers of the CNN are trained to recognize the common features in the digital image items of the different data batches. The recognized common features are input to fully-connected layers of the CNN that distinguish between the recognized common features of the digital image items of the different data batches. A scoring difference is determined between item pairs of the digital image items in a particular one of the different data batches. A piecewise ranking loss algorithm maintains the scoring difference between the item pairs, and the scoring difference is used to train CNN regression functions.
    Type: Grant
    Filed: June 8, 2016
    Date of Patent: November 5, 2019
    Assignee: Adobe Inc.
    Inventors: Zhe Lin, Yufei Wang, Radomir Mech, Xiaohui Shen, Gavin Stuart Peter Miller