METHOD OF MANAGING MEDIA COMMUNICATION IN MISSION CRITICAL (MC) SYSTEM, MC SERVER, AND RECEIVER THEREOF

    公开(公告)号:US20240223725A1

    公开(公告)日:2024-07-04

    申请号:US18606340

    申请日:2024-03-15

    CPC classification number: H04N7/147 H04L51/224 H04L65/65

    Abstract: A method, a mission critical (MC) server, and a receiver for managing media communication in an MC system are provided. The method comprises receiving, from a sender, a request and a media stream for transmitting the media stream to one or more receivers. The request indicates a mode of transmission of the media stream. Further, the method comprises transmitting a notification message indicating a mode of reception identified based on the mode of transmission, to the one or more receivers for receiving the media stream from the sender. The mode of reception is one from among an emergency mode and a normal mode. Thereafter, the method comprises transmitting the media stream to the one or more receivers subsequent to transmission of the notification message, when the mode of reception is the emergency mode.

    Interactive Video Streaming For 3D Applications

    公开(公告)号:US20240114190A1

    公开(公告)日:2024-04-04

    申请号:US18478238

    申请日:2023-09-29

    Applicant: MONKEYWAY GmbH

    Abstract: Systems and methods for video processing generates 3D streaming data via an API may be provided. A 3D streaming session may be delivered at a client device with low latency and high throughput capacity. Upon verification of the client device, a server may be selected to support an encapsulated 3D streaming engine to initiate the session. A library file may be injected into an executable file of the encapsulated 3D streaming engine to generate a digital representation of an interactive 3D environment. The interactive 3D environment may be rendered, encoded, and streamed to the client device via a GPU. The 3D streaming session may be adjusted via the client device, and sustained until terminated at the client device. A number of virtual compute instances of encapsulated 3D streaming engines provided by the server may be dynamically adjusted based on metrics and machine learning predictions of connected client devices.

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