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公开(公告)号：US20240338887A1
公开(公告)日：2024-10-10
申请号：US18296960
申请日：2023-04-06
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy , Michael Taylor
CPC classification number: G06T15/205 , G06T11/00 , G10L15/26
Abstract: A computer simulation object such as a chair is described by voice or photo input to render a 2D image. Machine learning may be used to convert voice input to the 2D image. The 2D image is converted to a 3D asset and the 3D asset or portions thereof are used in the computer simulation, such as a computer game, as the object such as a chair.
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公开(公告)号：US12100081B2
公开(公告)日：2024-09-24
申请号：US17935565
申请日：2022-09-26
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy
CPC classification number: G06T11/60 , G06T11/001
Abstract: Deep learning is used to dynamically adapt virtual humans in metaverse applications. The adaptation can be according to user preferences. In addition or alternatively, virtual humans and pets can be adapted for metaverse applications based on demographics of the user. The user's personal demographics may be used to establish the costume, skin color, emotion, voice, and behavior of the virtual humans. Similar considerations may be used to adapt virtual pets to the user's experience of the metaverse.
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公开(公告)号：US20240104807A1
公开(公告)日：2024-03-28
申请号：US17935565
申请日：2022-09-26
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy
CPC classification number: G06T11/60 , G06T11/001
Abstract: Deep learning is used to dynamically adapt virtual humans in metaverse applications. The adaptation can be according to user preferences. In addition or alternatively, virtual humans and pets can be adapted for metaverse applications based on demographics of the user. The user's personal demographics may be used to establish the costume, skin color, emotion, voice, and behavior of the virtual humans. Similar considerations may be used to adapt virtual pets to the user's experience of the metaverse.
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公开(公告)号：US20220355199A1
公开(公告)日：2022-11-10
申请号：US17307803
申请日：2021-05-04
Applicant: Sony Interactive Entertainment Inc.
Inventor： Michael Taylor , Sudha Krishnamurthy
IPC: A63F13/525
Abstract: A character in a game world of a computer simulation is identified as moving toward a sky box in the simulation. The computer simulation does not permit simulation characters to enter the sky box. Techniques are described for remastering the skybox based on various parameters.
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公开(公告)号：US20220347574A1
公开(公告)日：2022-11-03
申请号：US17306905
申请日：2021-05-03
Applicant: Sony Interactive Entertainment Inc.
Inventor： Michael Taylor , Sudha Krishnamurthy
Abstract: A character in a game world of a computer simulation is identified as moving toward a sky box in the simulation. The computer simulation does not permit simulation characters to enter the sky box. However, techniques are described for modifying an image or audio or both of the sky box responsive to identifying the character is moving toward the sky box.
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Patent Agency Ranking
公开(公告)号：US11298622B2
公开(公告)日：2022-04-12
申请号：US16660787
申请日：2019-10-22
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy
Abstract: An automated system that improves the spectating experience for a computer game or e-sport by placing spectators in locations based on their preferences, interests, demographics, and changes in emotions or behavior as the game progresses. The spectator may be moved automatically or may elect to move within the virtual space to improve the immersive experience. In some cases, the system may charge for better spectating experience. The system also detects abusive and inappropriate spectator behavior and allows such behavior to be isolated, in order to improve the spectating experience.
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37.发明申请公开(公告)号：US20210319322A1
公开(公告)日：2021-10-14
申请号：US16848499
申请日：2020-04-14
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy
Abstract: An automated method, system, and computer readable medium for generating sound effect recommendations for visual input by training machine learning models that learn audio-visual correlations from a reference image or video, a positive audio signal, and a negative audio signal. A machine learning algorithm is used with a reference visual input, a positive audio signal input or a negative audio signal input to train a multimodal clustering neural network to output representations for the visual input and audio input as well as correlation scores between the audio and visual representations. The trained multimodal clustering neural network is configured to learn representations in such a way that the visual representation and positive audio representation have higher correlation scores than the visual representation and a negative audio representation or an unrelated audio representation.
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公开(公告)号：US20210113929A1
公开(公告)日：2021-04-22
申请号：US16660787
申请日：2019-10-22
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy
IPC: A63F13/86 , G06F3/01 , A63F13/56 , A63F13/23 , A63F13/816
Abstract: An automated system that improves the spectating experience for a computer game or e-sport by placing spectators in locations based on their preferences, interests, demographics, and changes in emotions or behavior as the game progresses. The spectator may be moved automatically or may elect to move within the virtual space to improve the immersive experience. In some cases, the system may charge for better spectating experience. The system also detects abusive and inappropriate spectator behavior and allows such behavior to be isolated, in order to improve the spectating experience.
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公开(公告)号：US20210035610A1
公开(公告)日：2021-02-04
申请号：US17076062
申请日：2020-10-21
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy , Xiaoyu Liu
IPC: G11B27/036 , G06K9/00 , G11B27/34 , H04N9/87
Abstract: Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.
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公开(公告)号：US20200349975A1
公开(公告)日：2020-11-05
申请号：US16399505
申请日：2019-04-30
Applicant: Sony Interactive Entertainment Inc.
Inventor： Sudha Krishnamurthy , Xiaoyu Liu
IPC: G11B27/036 , G06K9/00 , G11B27/34 , H04N9/87
Abstract: Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.
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