Patents by Inventor JARED MCPHILLEN
JARED MCPHILLEN 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).
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Publication number: 20230156238Abstract: A method, comprises monitoring a encoding process of a source video file performed by an encoder; obtaining an encoding decision parameter used to encode a picture of the source video file during the encoding process; comparing the encoding decision parameter to a threshold; based on the step of comparing, identifying the picture as a candidate picture for a visual defect or coding error; and storing a timestamp of the candidate picture.Type: ApplicationFiled: January 6, 2023Publication date: May 18, 2023Inventors: Kevin Liao, Jared McPhillen, Mark Arana
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Publication number: 20230077379Abstract: Systems and methods are disclosed for compressing a target video. A computer-implemented method may use a computer system that include one or more physical computer processors and non-transient electronic storage. The computer-implemented method may include: obtaining the target video, extracting one or more frames from the target video, and generating an estimated optical flow based on a displacement of pixels between the one or more frames. The one or more frames may include one or more of a key frame and a target frame.Type: ApplicationFiled: October 24, 2022Publication date: March 16, 2023Inventors: Christopher SCHROERS, Simone SCHAUB, Erika DOGGETT, Jared MCPHILLEN, Scott LABROZZI, Abdelaziz DJELOUAH
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Patent number: 11553211Abstract: A method, comprises monitoring a encoding process of a source video file performed by an encoder; obtaining an encoding decision parameter used to encode a picture of the source video file during the encoding process; comparing the encoding decision parameter to a threshold; based on the step of comparing, identifying the picture as a candidate picture for a visual defect or coding error; and storing a timestamp of the candidate picture.Type: GrantFiled: January 3, 2013Date of Patent: January 10, 2023Assignee: Disney Enterprises, Inc.Inventors: Kevin Liao, Jared McPhillen, Mark Arana
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Publication number: 20220215595Abstract: Systems and methods for predicting a target set of pixels are disclosed. In one embodiment, a method may include obtaining target content. The target content may include a target set of pixels to be predicted. The method may also include convolving the target set of pixels to generate an estimated set of pixels. The method may include matching a second set of pixels in the target content to the target set of pixels. The second set of pixels may be within a distance from the target set of pixels. The method may include refining the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.Type: ApplicationFiled: March 25, 2022Publication date: July 7, 2022Inventors: Christopher SCHROERS, Erika DOGGETT, Stephan MANDT, Jared MCPHILLEN, Scott LABROZZI, Romann WEBER, Mauro BAMERT
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Patent number: 11335034Abstract: Systems and methods for predicting a target set of pixels are disclosed. In one embodiment, a method may include obtaining target content. The target content may include a target set of pixels to be predicted. The method may also include convolving the target set of pixels to generate an estimated set of pixels. The method may include matching a second set of pixels in the target content to the target set of pixels. The second set of pixels may be within a distance from the target set of pixels. The method may include refining the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.Type: GrantFiled: January 16, 2019Date of Patent: May 17, 2022Assignee: Disney Enterprises, Inc.Inventors: Christopher Schroers, Erika Doggett, Stephan Marcel Mandt, Jared McPhillen, Scott Labrozzi, Romann Weber, Mauro Bamert
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Patent number: 11057634Abstract: A data processing system includes a computing platform having a hardware processor and a memory storing a data compression software code. The hardware processor executes the data compression software code to receive a series of compression input data and encode a first compression input data of the series to a latent space representation of the first compression input data. The data compression software code further decodes the latent space representation to produce an input space representation of the first compression input data corresponding to the latent space representation, and generates f refined latent values for re-encoding the first compression input data based on a comparison of the first compression input data with its input space representation. The data compression software code then re-encodes the first compression input data using the refined latent values to produce a first compressed data corresponding to the first compression input data.Type: GrantFiled: May 15, 2019Date of Patent: July 6, 2021Assignee: Disney Enterprises, Inc.Inventors: Christopher Schroers, Simon Meierhans, Joaquim Campos, Jared McPhillen, Abdelaziz Djelouah, Erika Varis Doggett, Scott Labrozzi, Yuanyi Xue
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Patent number: 11012718Abstract: Systems and methods are disclosed for generating a latent space residual. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining a target frame, obtaining a reconstructed frame, encoding the target frame into a latent space to generate a latent space target frame, encoding the reconstructed frame into the latent space to generate a latent space reconstructed frame, and generating a latent space residual based on the latent space target frame and the latent space reconstructed frame.Type: GrantFiled: August 30, 2019Date of Patent: May 18, 2021Assignee: Disney Enterprises, Inc.Inventors: Christopher Schroers, Joaquim Campos, Abdelaziz Djelouah, Yuanyi Xue, Erika Varis Doggett, Jared McPhillen, Scott Labrozzi
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Publication number: 20210142524Abstract: According to one implementation, an image compression system includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor executes the software code to receive an input image, transform the input image to a latent space representation of the input image, and quantize the latent space representation of the input image to produce multiple quantized latents. The hardware processor further executes the software code to encode the quantized latents using a probability density function of the latent space representation of the input image, to generate a bitstream, and convert the bitstream into an output image corresponding to the input image. The probability density function of the latent space representation of the input image is obtained based on a normalizing flow mapping of one of the input image or the latent space representation of the input image.Type: ApplicationFiled: March 6, 2020Publication date: May 13, 2021Inventors: Abdelaziz Djelouah, Leonhard Markus Helminger, Scott Labrozzi, Yuanyi Xue, Erika Varis Doggett, Jared McPhillen, Christopher Richard Schroers
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Patent number: 10972749Abstract: Systems and methods are disclosed for reconstructing a frame. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining one or more reference frames from non-transient electronic storage, generating one or more displacement maps based on the one or more reference frames and a target frame with the physical computer processor, generating one or more warped frames based on the one or more reference frames and the one or more displacement maps with the physical computer processor, obtaining a conditioned reconstruction model from the non-transient electronic storage, and generating one or more blending coefficients and one or more reconstructed displacement maps by applying the one or more displacement maps, the one or more warped frames, and a target frame to the conditioned reconstruction model with the physical computer processor.Type: GrantFiled: August 29, 2019Date of Patent: April 6, 2021Assignee: Disney Enterprises, Inc.Inventors: Christopher Schroers, Joaquim Campos, Abdelaziz Djelouah, Yuanyi Xue, Erika Varis Doggett, Jared McPhillen, Scott Labrozzi
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Publication number: 20210067808Abstract: Systems and methods are disclosed for generating a latent space residual. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining a target frame, obtaining a reconstructed frame, encoding the target frame into a latent space to generate a latent space target frame, encoding the reconstructed frame into the latent space to generate a latent space reconstructed frame, and generating a latent space residual based on the latent space target frame and the latent space reconstructed frame.Type: ApplicationFiled: August 30, 2019Publication date: March 4, 2021Applicant: Disney Enterprises, Inc.Inventors: Christopher Schroers, Joaquim Campos, Abdelaziz Djelouah, Yuanyi Xue, Erika Varis Doggett, Jared McPhillen, Scott Labrozzi
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Publication number: 20210067801Abstract: Systems and methods are disclosed for reconstructing a frame. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining one or more reference frames from non-transient electronic storage, generating one or more displacement maps based on the one or more reference frames and a target frame with the physical computer processor, generating one or more warped frames based on the one or more reference frames and the one or more displacement maps with the physical computer processor, obtaining a conditioned reconstruction model from the non-transient electronic storage, and generating one or more blending coefficients and one or more reconstructed displacement maps by applying the one or more displacement maps, the one or more warped frames, and a target frame to the conditioned reconstruction model with the physical computer processor.Type: ApplicationFiled: August 29, 2019Publication date: March 4, 2021Applicant: Disney Enterprises, Inc.Inventors: Christopher Schroers, Joaquim Campos, Abdelaziz Djelouah, Yuanyi Xue, Erika Varis Doggett, Jared McPhillen, Scott Labrozzi
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Publication number: 20200366914Abstract: A data processing system includes a computing platform having a hardware processor and a memory storing a data compression software code. The hardware processor executes the data compression software code to receive a series of compression input data and encode a first compression input data of the series to a latent space representation of the first compression input data. The data compression software code further decodes the latent space representation to produce an input space representation of the first compression input data corresponding to the latent space representation, and generates f refined latent values for re-encoding the first compression input data based on a comparison of the first compression input data with its input space representation. The data compression software code then re-encodes the first compression input data using the refined latent values to produce a first compressed data corresponding to the first compression input data.Type: ApplicationFiled: May 15, 2019Publication date: November 19, 2020Inventors: Christopher Schroers, Simon Meierhans, Joaquim Campos, Jared McPhillen, Abdelaziz Djelouah, Erika Varis Doggett, Scott Labrozzi, Yuanyi Xue
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Patent number: 10832383Abstract: Systems and methods for distortion removal at multiple quality levels are disclosed. In one embodiment, a method may include receiving training content. The training content may include original content, reconstructed content, and training distortion quality levels corresponding to the reconstructed content. The reconstructed content may be derived from distorted original content. The method may also include training distortion quality levels corresponding to the reconstructed content. The method may further include receiving an initial distortion removal model. The method may include generating a conditioned distortion removal model by training the initial distortion removal model using the training content. The method may further include storing the conditioned distortion removal model.Type: GrantFiled: October 22, 2018Date of Patent: November 10, 2020Assignee: DISNEY ENTERPRISES, INC.Inventors: Christopher Schroers, Mauro Bamert, Erika Doggett, Jared McPhillen, Scott Labrozzi, Romann Weber
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Publication number: 20200226797Abstract: Systems and methods for predicting a target set of pixels are disclosed. In one embodiment, a method may include obtaining target content. The target content may include a target set of pixels to be predicted. The method may also include convolving the target set of pixels to generate an estimated set of pixels. The method may include matching a second set of pixels in the target content to the target set of pixels. The second set of pixels may be within a distance from the target set of pixels. The method may include refining the estimated set of pixels to generate a refined set of pixels using a second set of pixels in the target content.Type: ApplicationFiled: January 16, 2019Publication date: July 16, 2020Applicant: Disney Enterprises, Inc.Inventors: Christopher Schroers, Erika Doggett, Stephan Marcel Mandt, Jared McPhillen, Scott Labrozzi, Romann Weber, Mauro Bamert
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Patent number: 10701365Abstract: Systems and methods are provided for manually or automatically identifying delineating scenes in media content. Scene categorization parameters setting forth thematic and/or cinematic criteria are used to analyze frames or groups of pictures (GOPs) making up the media content. Those frames or GOPs having one or more characteristics that meet the thematic and/or cinematic criteria may be deemed to belong or be a part of a particular scene in the media content. Downstream applications or processes can be optimized based on the scene segmentation.Type: GrantFiled: December 11, 2017Date of Patent: June 30, 2020Assignee: Disney Enterprises, Inc.Inventors: Mark Arana, Jared McPhillen
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Patent number: 10674111Abstract: Systems and methods are provided for transcoding media content in accordance with thematic and/or cinematic characteristics of scenes. In particular, compression techniques may be selected to optimize compression of scenes based on their thematic and/cinematic characteristics. Scene boundary identifiers, such as scene in and out points may be identified, and the corresponding thematic and/or cinematic characteristic meta-data can be sent to a transcoder for transcoding. In this way, the specific characteristics of each scene in a movie can be accounted for during transcoding. This can result in transcoded versions of the movie that have better audio/visual qualities, and that can be encoded at a lower overall bit rate.Type: GrantFiled: December 11, 2017Date of Patent: June 2, 2020Assignee: Disney Enterprises, Inc.Inventors: Mark Arana, Jared McPhillen
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Publication number: 20200053388Abstract: Systems and methods are disclosed for compressing a target video. A computer-implemented method may use a computer system that include one or more physical computer processors and non-transient electronic storage. The computer-implemented method may include: obtaining the target video, extracting one or more frames from the target video, and generating an estimated optical flow based on a displacement of pixels between the one or more frames. The one or more frames may include one or more of a key frame and a target frame.Type: ApplicationFiled: January 29, 2019Publication date: February 13, 2020Applicant: Disney Enterprises, Inc.Inventors: Christopher Schroers, Simone Schaub, Erika Doggett, Jared McPhillen, Scott Labrozzi, Abdelaziz Djelouah
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Publication number: 20190333190Abstract: Systems and methods for distortion removal at multiple quality levels are disclosed. In one embodiment, a method may include receiving training content. The training content may include original content, reconstructed content, and training distortion quality levels corresponding to the reconstructed content. The reconstructed content may be derived from distorted original content. The method may also include training distortion quality levels corresponding to the reconstructed content. The method may further include receiving an initial distortion removal model. The method may include generating a conditioned distortion removal model by training the initial distortion removal model using the training content. The method may further include storing the conditioned distortion removal model.Type: ApplicationFiled: October 22, 2018Publication date: October 31, 2019Applicants: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)Inventors: Christopher Schroers, Mauro Bamert, Erika Doggett, Jared McPhillen, Scott Labrozzi, Romann Weber
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Publication number: 20190182451Abstract: Systems and methods are provided for transcoding media content in accordance with thematic and/or cinematic characteristics of scenes. In particular, compression techniques may be selected to optimize compression of scenes based on their thematic and/cinematic characteristics. Scene boundary identifiers, such as scene in and out points may be identified, and the corresponding thematic and/or cinematic characteristic meta-data can be sent to a transcoder for transcoding. In this way, the specific characteristics of each scene in a movie can be accounted for during transcoding. This can result in transcoded versions of the movie that have better audio/visual qualities, and that can be encoded at a lower overall bit rate.Type: ApplicationFiled: December 11, 2017Publication date: June 13, 2019Applicant: Disney Enterprises, Inc.Inventors: MARK ARANA, JARED MCPHILLEN
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Publication number: 20190182486Abstract: Systems and methods are provided for manually or automatically identifying delineating scenes in media content. Scene categorization parameters setting forth thematic and/or cinematic criteria are used to analyze frames or groups of pictures (GOPs) making up the media content. Those frames or GOPs having one or more characteristics that meet the thematic and/or cinematic criteria may be deemed to belong or be a part of a particular scene in the media content. Downstream applications or processes can be optimized based on the scene segmentation.Type: ApplicationFiled: December 11, 2017Publication date: June 13, 2019Applicant: Disney Enterprises, Inc.Inventors: MARK ARANA, JARED MCPHILLEN