Sling Media Pvt. Ltd.

Dish Network Technologies India Private Limited

Narayana Rao

Satish Balasubramanian Iyer

Laxminarayana Dalimba

Rakesh Eluvan Periyaeluvan

Vivek Devaraj

Vikram Balarajashetty

Vivek Maran

Abhiroop Boggavarapu

Nishit Dabi

Deepak Poongundran

An automated process for multi-feed video systems comprises receiving a plurality of video feeds from a plurality of video-capture devices. The video feeds each have a quality parameter set to an initial value. A priority feed is selected from the video feeds. A quality parameter of the priority feed is set to a priority value in response to selecting the priority feed. The video-capture devices are instructed to format the video feeds based on the quality parameter of each video feed. The quality parameter for each video feed comprises a bitrate or a resolution for the video feed. The priority feed is streamed as a video output. The video feeds are displayed for selection in an interface, and the interface comprises a map including a location of the video-capture devices.

Automated optimization of video settings in a digital video production system having multiple video capture devices

An method of operating a video production device receives a plurality of video input streams from a plurality of different video capture devices, and selects one of the video input streams as a current video output stream. In response to the selection, the method determines a prioritization scheme for the plurality of video input streams, generates video format instructions for each of the plurality of different video capture devices, in accordance with the determined prioritization scheme; and sends the video format instructions from the video production device to the plurality of different video capture devices. The video format instructions are configurable to be executed by the video capture devices to confirm or adjust at least one video quality setting of the video input streams, such that the current video output stream is of higher quality relative to unselected video input streams of the plurality of video input streams.

A video production device is deployed to produce a video production stream of an event occurring within an environment that includes a plurality of different video capture devices capturing respective video input streams of the event. The video production device is programmed and operated to: receive video input streams from the video capture devices; determine, for each video capture device, an average root mean square (RMS) audio energy value over a period of time, to obtain device-specific average RMS values for the video capture devices; compare each device-specific average RMS value against a respective device-specific energy threshold value; identify which input stream is associated with an active speaker, based on the comparing step; select one of the identified streams as a current video output stream; and provide the selected stream as the current video output stream.

Audio-based automatic video feed selection for a digital video production system

Systems and processes are provided to detect an balanced audio signal and generation of an unbalanced audio signal including a first audio input for receiving a first audio signal, a second audio input for receiving a second audio signal, a processor for determining a first root mean square value for the first audio signal, a second root mean square value for the second audio signal and a combined root mean square value for a sum of the first audio signal and the second audio signal, the processor being further operative to generate an unbalanced audio signal in response to the first root mean square value exceeding a first threshold value, the second root mean square value exceeding the first threshold value and the combined root mean square value being less than a second threshold value, and an audio decoder operative to decode the unbalanced audio signal.

Method and apparatus for balanced audio detection and conversion

A method for determining the health of a network includes determining, for a set of clients within the network, a total air percentage for each of the plurality of clients, and determining a total air percentage for a first access point within the network. The method further includes determining a transmit opportunity corresponding to a percentage of time a channel medium is free; determining a total air percentage used by a set of second access points; determining an air margin for the network, and determining an overall health classification for the network based on the air margin.

Dynamic measurement of network health

A video production device is deployed to produce a video production stream of an event occurring within an environment that includes a plurality of different video capture devices capturing respective video input streams of the event. The video production device is programmed and operated to: receive a plurality of video input streams from the video capture devices; automatically select one of the video input streams as a current video output stream, in accordance with a visual activity based switching technique that identifies which of the plurality of video input streams is associated with a detected speaker; and provide the selected video input stream as the current video output stream.

Visual-based automatic video feed selection for a digital video production system

A player decodes and renders encoded digital data received from an encoder. During processing, the player periodically monitors dropped frames as well as time spent. If the dropped frames are below a minimum, the player determines to signal the encoder to increase bit rate or frame rate by consulting a table. If the player determines to increase bit rate, the player signals accordingly. However, if the player determines to increase frame rate, the player first verifies that the spent time is below a minimum. To the contrary, if the dropped frames are both above the minimum and a first maximum but not a second maximum, the player determines to signal the encoder to decrease bit rate or frame rate by consulting the table and signaling accordingly. However, if the dropped frames are above the second maximum, the player signals the encoder to decrease the frame rate without consulting the table.

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Bengaluru, India

Narayana Rao