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    User responsive dynamic content transformation
    2.
    发明授权
    User responsive dynamic content transformation 有权

    公开(公告)号：US12096093B2

    公开(公告)日：2024-09-17

    申请号：US18107718

    申请日：2023-02-09

    申请人： Disney Enterprises, Inc.

    发明人： Keith Comito ,  Daniel Cahall

    IPC分类号： H04N21/854 ,  H04N21/233 ,  H04N21/234 ,  H04N21/442 ,  H04N21/81

    CPC分类号： H04N21/854 ,  H04N21/233 ,  H04N21/234 ,  H04N21/44213 ,  H04N21/8106

    摘要： A system includes a hardware processor and a memory storing software code and one or more machine learning (ML) model(s) trained to transform content. The hardware processor executes the software code to ingest content components each corresponding respectively to a different feature of multiple features included in a content file, receive sensor data describing at least one of an action or an environment of a system user, and identify, using the sensor data, at least one of the content components as content to be transformed. The hardware processor further executes the software code to transform, using the ML model(s), that identified content to provide at least one transformed content component, combine a subset of the ingested content components with the at least one transformed content component to produce a dynamically transformed content, and output the dynamically transformed content in real-time with respect to ingesting the content components.

    Systems and methods for real-time compositing of video content
    3.
    发明授权
    Systems and methods for real-time compositing of video content 有权

    公开(公告)号：US12081895B2

    公开(公告)日：2024-09-03

    申请号：US17688289

    申请日：2022-03-07

    申请人： DISNEY ENTERPRISES, INC.

    发明人： Steven M. Chapman ,  Mehul Patel ,  Joseph Popp

    IPC分类号： H04N5/222 ,  G06T7/70 ,  G06T11/60 ,  H04N5/272

    CPC分类号： H04N5/2228 ,  G06T11/60 ,  H04N5/272 ,  G06T7/70 ,  G06T2200/24 ,  G06T2207/30244

    摘要： Systems and methods for compositing real-world video with a virtual object are disclosed. In one embodiment the system includes a processor; and a computer-readable non-transitory storage medium, the medium encoded with instructions that when executed cause the processor to perform operations including receiving video of a video capture region from a camera coupled to an unmanned vehicle; obtaining a map representation of the video capture region; placing the virtual object into the map representation; rendering the video with the virtual object to generate a rendered video; displaying the rendered video; and based on an elevation of the unmanned vehicle, updating the virtual object to transition between a top view of the virtual object and an elevation view or perspective view of the virtual object.

    Anchor Segment Detection for Content Enhancement
    5.
    发明公开
    Anchor Segment Detection for Content Enhancement 审中-公开

    公开(公告)号：US20240289982A1

    公开(公告)日：2024-08-29

    申请号：US18428624

    申请日：2024-01-31

    申请人： Disney Enterprises, Inc.

    发明人： Nicholas Maggio ,  Evan M. Goldberg

    IPC分类号： G06T7/73 ,  G06T7/269 ,  G06T7/40 ,  G06T11/00

    CPC分类号： G06T7/73 ,  G06T7/269 ,  G06T7/40 ,  G06T11/00 ,  G06T2207/10016 ,  G06T2207/20224

    摘要： A system includes a hardware processor and a system memory storing software code. The hardware processor is configured to execute the software code to receive reference content including a plurality of images in sequence, analyze the plurality of images to identify pixel feature changes between sequential images of the plurality of images, and identify, based on the pixel feature changes, one or more static image segments within the plurality of images. The hardware processor is further configured to execute the software code to evaluate the one or more static image segments using at least one of a size criterion or a visual feature criterion, select, based on evaluating, one of the one or more static image segments as an anchor segment, and provide mapping data identifying a location of the anchor segment within each of the plurality of images.

    Re-noising and neural network based image enhancement
    7.
    发明授权
    Re-noising and neural network based image enhancement 有权

    公开(公告)号：US12062152B2

    公开(公告)日：2024-08-13

    申请号：US17459353

    申请日：2021-08-27

    申请人： Disney Enterprises, Inc.

    发明人： Abdelaziz Djelouah ,  Shinobu Hattori ,  Christopher Richard Schroers

    IPC分类号： G06T5/00

    CPC分类号： G06T5/00 ,  G06T2207/20081

    摘要： According to one implementation, a system for performing re-noising and neural network (NN) based image enhancement includes a computing platform having a processing hardware and a system memory storing a software code, a noise synthesizer, and an image restoration NN. The processing hardware is configured to execute the software code to receive a denoised image component and a noise component extracted from a degraded image, to generate, using the noise synthesizer and the noise component, synthesized noise corresponding to the noise component, and to interpolate, using the noise component and the synthesized noise, an output image noise. The processing hardware is further configured to execute the software code to enhance, using the image restoration NN, the denoised image component to provide an output image component, and to re-noise the output image component, using the output image noise, to produce an enhanced output image corresponding to the degraded image.

    Bottle
    8.
    外观设计
    Bottle 有权

    公开(公告)号：USD1037781S1

    公开(公告)日：2024-08-06

    申请号：US29803234

    申请日：2021-08-11

    申请人： Disney Enterprises, Inc.

    设计人： Daria Vinogradova

    摘要： FIG. 1 is a top perspective view of my new design for a bottle, shown with environmental figurine within for clarity of disclosure;
    FIG. 2 is another top perspective view thereof, shown with environmental radiating lines;
    FIG. 3 is a front elevational view thereof;
    FIG. 4 is a top perspective view of my new design for a bottle, shown with the environmental figurine removed;
    FIG. 5 is a bottom perspective view thereof;
    FIG. 6 is a front elevational view thereof;
    FIG. 7 is a rear elevational view thereof;
    FIG. 8 is a left side elevational view thereof;
    FIG. 9 is a right side elevational view thereof;
    FIG. 10 is a top plan view thereof; and
    FIG. 11 is a bottom plan view thereof.
    FIG. 12 is an enlarged view of a portion thereof as shown in FIG. 1.
    FIG. 13 is an enlarged view of a portion thereof as shown in FIG. 2; and,
    FIG. 14 is an enlarged view of a portion thereof as shown in FIG. 3.
    The broken line showing of an environmental figurine in FIGS. 1-3 and 12-14 forms no part of the claimed design.
    The environmental radiating broken lines in FIGS. 2-3 and 13-14 depict a state of illumination and form no part of the claimed design.

    Machine Learning Model-Based Detection of Content Type
    10.
    发明公开
    Machine Learning Model-Based Detection of Content Type 审中-公开

    公开(公告)号：US20240249438A1

    公开(公告)日：2024-07-25

    申请号：US18098935

    申请日：2023-01-19

    申请人： Disney Enterprises Inc.

    发明人： Mitchel Jacobs ,  Anil Chakrahari ,  Ellie Kuang ,  Michael Smith

    IPC分类号： G06T7/90

    CPC分类号： G06T7/90 ,  G06T2207/20081 ,  G06T2207/20208

    摘要： A system includes a hardware processor, and a memory storing a software code and at least one machine learning (ML) model trained to distinguish between a plurality of content types. The hardware processor executes the software code to receive a content file including data identifying a dataset contained by the content file as being a first content type of the plurality of content types; predict, using the at least one ML model and the dataset, based on at least one image parameter, a first probability that a content type of the dataset matches the first content type identified by the data; and determine, based on the first probability, that the content type of the dataset (i) is the first content type identified by the data, (ii) is not the first content type identified by the data, or (iii) is of an indeterminate content type.