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公开(公告)号：US11645579B2
公开(公告)日：2023-05-09
申请号：US16723623
申请日：2019-12-20
IPC分类号： G06N20/00 , G06V20/40 , G06F18/21 , G06V10/778
CPC分类号： G06N20/00 , G06F18/2185 , G06V10/7784 , G06V20/41 , G06V20/46
摘要： Techniques for machine learning optimization are provided. A video comprising a plurality of segments is received, and a first segment of the plurality of segments is processed with a machine learning (ML) model to generate a plurality of tags, where each of the plurality of tags indicates presence of an element in the first segment. A respective accuracy value is determined for each respective tag of the plurality of tags, where the respective accuracy value is based at least in part on a maturity score for the ML model. The first segment is classified as accurate, based on determining that an aggregate accuracy of tags corresponding to the first segment exceeds a predefined threshold. Upon classifying the first segment as accurate, the first segment is bypassed during a review process.
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公开(公告)号：US11630714B2
公开(公告)日：2023-04-18
申请号：US17712937
申请日：2022-04-04
摘要： Methods for improving operation of a user device executing an application. The methods include collecting a first set of data corresponding to a run time environment of the application, collecting a second set of data corresponding to a crash of the application, identifying a cause of the crash based on the first set of data and a second set of data and determining the cause of the crash is associated with an application feature corresponding to a feature flag.
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公开(公告)号：US11628374B2
公开(公告)日：2023-04-18
申请号：US16917467
申请日：2020-06-30
发明人： Raphael Anderegg , Loic Ciccone , Robert W. Sumner
摘要： A virtual puppeteering system includes a portable device including a camera, a display, a hardware processor, and a system memory storing an object animation software code. The hardware processor is configured to execute the object animation software code to, using the camera, generate an image in response to receiving an activation input, using the display, display the image, and receive a selection input selecting an object shown in the image. The hardware processor is further configured to execute the object animation software code to determine a distance separating the selected object from the portable device, receive an animation input, identify, based on the selected object and the received animation input, a movement for animating the selected object, generate an animation of the selected object using the determined distance and the identified movement, and render the animation of the selected object.
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公开(公告)号：US20230083929A1
公开(公告)日：2023-03-16
申请号：US17984132
申请日：2022-11-09
申请人： Pixar , Disney Enterprises, Inc.
发明人： Thijs Vogels , Fabrice Rousselle , Jan Novak , Brian McWilliams , Mark Meyer , Alex Harvill
IPC分类号： G06T5/00 , G06N3/08 , G06T15/06 , G06T15/50 , G06N5/04 , G06N20/00 , G06F17/18 , G06N3/04 , G06T5/50
摘要： A modular architecture is provided for denoising Monte Carlo renderings using neural networks. The temporal approach extracts and combines feature representations from neighboring frames rather than building a temporal context using recurrent connections. A multiscale architecture includes separate single-frame or temporal denoising modules for individual scales, and one or more scale compositor neural networks configured to adaptively blend individual scales. An error-predicting module is configured to produce adaptive sampling maps for a renderer to achieve more uniform residual noise distribution. An asymmetric loss function may be used for training the neural networks, which can provide control over the variance-bias trade-off during denoising.
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公开(公告)号：US11604516B2
公开(公告)日：2023-03-14
申请号：US17125353
申请日：2020-12-17
IPC分类号： G06T15/00 , G06F3/01 , G06F3/16 , G09B21/00 , G06F3/041 , G06V10/46 , G06V20/40 , G08B3/00 , G08B6/00
摘要： A method includes displaying, on a touchscreen, a video comprising a video frame and determining, based on a saliency map of the video frame, a region of interest in the video frame. The method also includes detecting a touch on a region of the touchscreen while the video frame is displayed and generating a haptic response in response to determining that the region of the touchscreen overlaps with the region of interest.
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公开(公告)号：US11599328B2
公开(公告)日：2023-03-07
申请号：US14721793
申请日：2015-05-26
摘要： There is provided a media player device for use with a text medium having a plurality of pages each having a plurality of words, the media player device comprising an audio output, a memory storing a text medium application software; and a processor configured to execute the text medium application software to receive a first signal emitted from a wireless communication element embedded in the text medium, the first signal including a text medium ID uniquely identifying the text medium, and play an audio, via the audio output and in response to receiving the text medium ID, wherein the audio corresponds to the text medium ID and the audio pronounces the plurality of words in a same sequence appearing in each of the plurality of pages.
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57.发明申请公开(公告)号：US20230065700A1
公开(公告)日：2023-03-02
申请号：US18045782
申请日：2022-10-11
摘要： A modeling engine generates a prediction model that quantifies and predicts secondary dynamics associated with the face of a performer enacting a performance. The modeling engine generates a set of geometric representations that represents the face of the performer enacting different facial expressions under a range of loading conditions. For a given facial expression and specific loading condition, the modeling engine trains a Machine Learning model to predict how soft tissue regions of the face of the performer change in response to external forces applied to the performer during the performance. The modeling engine combines different expression models associated with different facial expressions to generate a prediction model. The prediction model can be used to predict and remove secondary dynamics from a given geometric representation of a performance or to generate and add secondary dynamics to a given geometric representation of a performance.
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公开(公告)号：US20230065392A1
公开(公告)日：2023-03-02
申请号：US17459353
申请日：2021-08-27
IPC分类号： G06T5/00
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.
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公开(公告)号：US11595716B2
公开(公告)日：2023-02-28
申请号：US17506489
申请日：2021-10-20
摘要： Embodiments provide for improved stream generation. A target average bitrate (TAB) segment is generated by encoding a first segment, of a plurality of segments in a video, using a first maximum average bitrate (MAB) of a plurality of MABs specified in an encoding ladder. An intermediate average bitrate (IAB) segment is generated by encoding the first segment using a first intermediate bitrate, wherein the first intermediate bitrate is lower than the first MAB. Upon receiving a request for the first segment at the first MAB, the IAB segment is output based at least in part on determining that a first quality score of the IAB segment is within a predefined tolerance of a second quality score of the TAB segment.
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60.发明授权公开(公告)号：US11587276B2
公开(公告)日：2023-02-21
申请号：US16702471
申请日：2019-12-03
摘要： A modeling engine generates a prediction model that quantifies and predicts secondary dynamics associated with the face of a performer enacting a performance. The modeling engine generates a set of geometric representations that represents the face of the performer enacting different facial expressions under a range of loading conditions. For a given facial expression and specific loading condition, the modeling engine trains a Machine Learning model to predict how soft tissue regions of the face of the performer change in response to external forces applied to the performer during the performance. The modeling engine combines different expression models associated with different facial expressions to generate a prediction model. The prediction model can be used to predict and remove secondary dynamics from a given geometric representation of a performance or to generate and add secondary dynamics to a given geometric representation of a performance.
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