Patents by Inventor Max Gray Edell

Max Gray Edell 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: 11775949
    Abstract: A licensing system and related methods are described utilizing aspects of distributed ledger technologies to facilitate trusted and verifiable licensing transactions for creative works. A client device can include an asset editing tool for incorporating an asset selected from a plurality of licensable assets into a new creative work. The selected asset can be downloaded for incorporation into the new creative work. The new creative work incorporating the selected asset can be analyzed to determine an amount that the selected asset contributed to the new creative work, or an amount that the new creative work is attributable to the selected asset.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: October 3, 2023
    Assignee: ADOBE INC.
    Inventors: Xuejun Xu, Morgan David De Lossy, Max Gray Edell
  • Patent number: 11632238
    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: October 5, 2021
    Date of Patent: April 18, 2023
    Assignee: Adobe Inc.
    Inventors: Gavin Stuart Peter Miller, Xuejun Xu, Max Gray Edell, John Bevil Bates, Matthew Keith Albright
  • Patent number: 11308629
    Abstract: Methods and systems are provided for training a neural network to track viewer engagement with a non-interactive display. Sensor data is obtained from one or more sensors, such as cameras, associated with a display device, and once a face is detected within the sensor data, a display sequence is initiated. The display sequence includes at least a first frame with a first visual feature and a second frame with a second visual feature. Using the sensor data obtained during presentation of the display sequence, viewer engagement with the sequence is tracked by determining eye movements and/or head movements. The detected eye movement and/or head movement is used to determine whether the person was actively engaged with the display sequence.
    Type: Grant
    Filed: October 29, 2020
    Date of Patent: April 19, 2022
    Assignee: ADOBE INC.
    Inventors: Max Gray Edell, David E. Benge
  • Publication number: 20220051211
    Abstract: A licensing system and related methods are described utilizing aspects of distributed ledger technologies to facilitate trusted and verifiable licensing transactions for creative works. A client device can include an asset editing tool for incorporating an asset selected from a plurality of licensable assets into a new creative work. The selected asset can be downloaded for incorporation into the new creative work. The new creative work incorporating the selected asset can be analyzed to determine an amount that the selected asset contributed to the new creative work, or an amount that the new creative work is attributable to the selected asset.
    Type: Application
    Filed: October 20, 2021
    Publication date: February 17, 2022
    Inventors: Xuejun Xu, Morgan David De Lossy, Max Gray Edell
  • Publication number: 20220029785
    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: October 5, 2021
    Publication date: January 27, 2022
    Inventors: Gavin Stuart Peter Miller, Xuejen Xu, Max Gray Edell, John Bevil Bates, Matthew Keith Albright
  • Patent number: 11182757
    Abstract: A licensing system and related methods are described utilizing aspects of distributed ledger technologies to facilitate trusted and verifiable licensing transactions for creative works. A client device can include an asset editing tool for incorporating an asset selected from a plurality of licensable assets into a new creative work. The selected asset can be downloaded for incorporation into the new creative work. The new creative work incorporating the selected asset can be analyzed to determine an amount that the selected asset contributed to the new creative work, or an amount that the new creative work is attributable to the selected asset.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: November 23, 2021
    Inventors: Xuejun Xu, Morgan David De Lossy, Max Gray Edell
  • 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
  • Publication number: 20210065378
    Abstract: Methods and systems are provided for training a neural network to track viewer engagement with a non-interactive display. Sensor data is obtained from one or more sensors, such as cameras, associated with a display device, and once a face is detected within the sensor data, a display sequence is initiated. The display sequence includes at least a first frame with a first visual feature and a second frame with a second visual feature. Using the sensor data obtained during presentation of the display sequence, viewer engagement with the sequence is tracked by determining eye movements and/or head movements. The detected eye movement and/or head movement is used to determine whether the person was actively engaged with the display sequence.
    Type: Application
    Filed: October 29, 2020
    Publication date: March 4, 2021
    Inventors: Max Gray Edell, David E. Benge
  • Patent number: 10902274
    Abstract: In implementations of opting-in or opting-out of visual tracking, a computing device maintains digital images received for scanning, and includes an image scanning system that receives a digital image depicting one or more faces of persons captured in the digital image. The image scanning system is implemented to detect a face of a person who is depicted in the digital image from a scan of the digital image. The image scanning system can then scan the digital image for a visual tracking identifier that indicates a preference of the person for one of opting-in or opting-out of visual tracking. The image scanning system can detect the visual tracking identifier associated with the person from the scan of the digital image, and continue or discontinue the visual tracking of the person based on the visual tracking identifier indicating that the person opt-in or opts-out of visual tracking.
    Type: Grant
    Filed: April 30, 2018
    Date of Patent: January 26, 2021
    Assignee: Adobe Inc.
    Inventors: David Eldridge Benge, Max Gray Edell
  • Patent number: 10867391
    Abstract: Methods and systems are provided for tracking viewer engagement with a non-interactive display. Sensor data is obtained from one or more sensors, such as cameras, associated with a display device, and once a face is detected within the sensor data, a display sequence is initiated. The display sequence includes at least a first frame with a first visual feature and a second frame with a second visual feature. Using the sensor data obtained during presentation of the display sequence, viewer engagement with the sequence is tracked by determining eye movements and/or head movements. The detected eye movement and/or head movement is used to determine whether the person was actively engaged with the display sequence.
    Type: Grant
    Filed: September 28, 2018
    Date of Patent: December 15, 2020
    Assignee: ADOBE INC.
    Inventors: Max Gray Edell, David E. Benge
  • 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
  • Publication number: 20200134585
    Abstract: A licensing system and related methods are described utilizing aspects of distributed ledger technologies to facilitate trusted and verifiable licensing transactions for creative works. A client device can include an asset editing tool for incorporating an asset selected from a plurality of licensable assets into a new creative work. The selected asset can be downloaded for incorporation into the new creative work. The new creative work incorporating the selected asset can be analyzed to determine an amount that the selected asset contributed to the new creative work, or an amount that the new creative work is attributable to the selected asset.
    Type: Application
    Filed: October 26, 2018
    Publication date: April 30, 2020
    Inventors: Xuejun Xu, Morgan David De Lossy, Max Gray Edell
  • Publication number: 20200104999
    Abstract: Methods and systems are provided for tracking viewer engagement with a non-interactive display. Sensor data is obtained from one or more sensors, such as cameras, associated with a display device, and once a face is detected within the sensor data, a display sequence is initiated. The display sequence includes at least a first frame with a first visual feature and a second frame with a second visual feature. Using the sensor data obtained during presentation of the display sequence, viewer engagement with the sequence is tracked by determining eye movements and/or head movements. The detected eye movement and/or head movement is used to determine whether the person was actively engaged with the display sequence.
    Type: Application
    Filed: September 28, 2018
    Publication date: April 2, 2020
    Inventors: MAX GRAY EDELL, DAVID E. BENGE
  • Publication number: 20190332880
    Abstract: In implementations of opting-in or opting-out of visual tracking, a computing device maintains digital images received for scanning, and includes an image scanning system that receives a digital image depicting one or more faces of persons captured in the digital image. The image scanning system is implemented to detect a face of a person who is depicted in the digital image from a scan of the digital image. The image scanning system can then scan the digital image for a visual tracking identifier that indicates a preference of the person for one of opting-in or opting-out of visual tracking. The image scanning system can detect the visual tracking identifier associated with the person from the scan of the digital image, and continue or discontinue the visual tracking of the person based on the visual tracking identifier indicating that the person opt-in or opts-out of visual tracking.
    Type: Application
    Filed: April 30, 2018
    Publication date: October 31, 2019
    Applicant: Adobe Inc.
    Inventors: David Eldridge Benge, Max Gray Edell