DEVICES, SYSTEMS, AND METHODS FOR MULTI-USER SCREEN SHARING

    公开(公告)号:US20240146991A1

    公开(公告)日:2024-05-02

    申请号:US18390901

    申请日:2023-12-20

    CPC classification number: H04N21/43076 H04N21/43079

    Abstract: The present technology is generally directed to multi-user screen sharing. In some embodiments, a method for media content screen sharing includes receiving a first media content item selection from a first user and receiving a second media content item selection from a second user. The method can further include generating a multi-content video signal, wherein the multi-content video signal includes the selected first media content item and the selected second media content item. The multi-content video signal can be displayed to both the first user and the second user. The method can include causing a first electronic device of the first user to display a first portion of the multi-content video signal that corresponds to the selected first media content item, and causing a second electronic device of the second user to display a second portion of the multi-content video signal that corresponds to the selected second media content item.

    Machine learning avatar for consolidating and presenting data in virtual environments

    公开(公告)号:US11935174B2

    公开(公告)日:2024-03-19

    申请号:US17809177

    申请日:2022-06-27

    CPC classification number: G06T15/00 G06K7/1417 G06Q10/1095

    Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

    MARKER-BASED REPRESENTATION OF REAL OBJECTS IN VIRTUAL ENVIRONMENTS

    公开(公告)号:US20230386126A1

    公开(公告)日:2023-11-30

    申请号:US17828865

    申请日:2022-05-31

    CPC classification number: G06T15/20

    Abstract: A process for rendering objects includes detecting a first surface of an object oriented in a first position. A first image is captured with a camera and at least partially captures a first marker on the first surface. A prompt requests manipulation of the object into a second position to expose a second surface to the camera in response to detecting a missing image of a marker. A second image of the second surface is captured with the camera and at least partially captures a second marker on the second surface. The object is rendered as a virtual representation in a virtual environment in response to detecting the first marker in the first image and the second marker in the second image. The size of the virtual representation is estimated based on the detected size of at least one of the first marker and the second marker.

    PROVIDING A ZOOMED VIEW OF A DISTANT OBJECT TO A USER DEVICE USING OTHER DEVICES CLOSER TO THE DISTANT OBJECT

    公开(公告)号:US20240314437A1

    公开(公告)日:2024-09-19

    申请号:US18184563

    申请日:2023-03-15

    CPC classification number: H04N23/69 G06T17/00 H04N5/265 H04N23/66

    Abstract: The disclosed system receives a first request from a first user device to record, using a first camera, a first image of an object in a surrounding environment. The first request includes an indication to zoom the first camera, wherein zooming the camera enlarges an appearance of the object in the image. The system sends a second request to a second user device to record a second image of the object. The second user device is closer to the object than the first user device. A first orientation of the first user device and a second orientation of the second user device satisfies a first criterion. The system causes the second user device to record the second image of the object using the second camera, receives the second image from the second user device, and provides the second image to a display of the first user device.

    Cell phone content watch parties
    5.
    发明授权

    公开(公告)号:US11974005B2

    公开(公告)日:2024-04-30

    申请号:US17543852

    申请日:2021-12-07

    Abstract: Devices, systems and methods are described for facilitating a cell phone content watch party. A system includes a server, a host user device and a client user device—both coupled to the server, a content capture device (CCD) coupled to the host user device, and a content provider coupled to the host user device and the client user device. The content provider provides primary content segments. The CCD provides cell phone content which the host user device provides the cell phone content to the server. The server synchronizes a providing of the cell phone content with a presentation of the primary content segments by the client user device such that the presentations of the cell phone content and the primary content segments occur substantially simultaneously on the host user device and the client user device.

    MACHINE LEARNING AVATAR FOR CONSOLIDATING AND PRESENTING DATA IN VIRTUAL ENVIRONMENTS

    公开(公告)号:US20230419584A1

    公开(公告)日:2023-12-28

    申请号:US17809177

    申请日:2022-06-27

    CPC classification number: G06T15/00 G06Q10/1095 G06K7/1417 G06N20/00

    Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

    MACHINE LEARNING AVATAR FOR CONSOLIDATING AND PRESENTING DATA IN VIRTUAL ENVIRONMENTS

    公开(公告)号:US20240153191A1

    公开(公告)日:2024-05-09

    申请号:US18418075

    申请日:2024-01-19

    CPC classification number: G06T15/00 G06K7/1417 G06Q10/1095

    Abstract: Processes, systems, and devices generate a training set comprising a first presentation having a first visual aid and a first audio description. The first visual aid and the first audio description are based on initial data retrieved from a first data source using a first indexing technique. The machine-learning system is trained using the first presentation and the initial data retrieved from the first data source using the first indexing technique. The machine-learning system generates a second presentation having a second visual aid and a second audio description. The second visual aid and the second audio description are based on refreshed data retrieved from the first data source using the first indexing technique. The machine-learning system presents the second presentation via an avatar in a virtual meeting room. The avatar is generated by the machine-learning system to present the second visual aid and the second audio description.

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