Zoom Video Communications, Inc.

Zhaofeng Jia

Qiyong Liu

Jing Wu

Huipin Zhang

Kai Jin

Bo Ling

Yang Liu

An adaptive screen encoding method comprising: using a computer, creating and storing, in computer memory, a plurality of conditions for use by a server configured to determine which of picture coding type to select; detecting a current picture by a sender for a content type including textual content, graphical content, and natural image content; determining a percentage of static macroblocks corresponding to the current picture; selecting the picture coding type based on the content type, the plurality of conditions, and the percentage of static macroblocks, wherein the method is performed by one or more special-purpose computing devices.

Reference picture selection and coding type decision processing based on scene contents

An apparatus and/or method discloses a video conference with enhanced audio quality using high-fidelity audio sharing ('HAS'). In one embodiment, a network connection between a first user equipment (“UE”) and a second UE is established via a communication network for providing an interactive real-time meeting. After sending a first calibration audio signal from the first UE to the second UE, a second calibration audio signal is retuned from the second UE to the first UE according to the first calibration audio signal. Upon identifying a far end audio (“FEA”) delay based on the first calibration audio signal and the second calibration audio signal, a first mixed audio data containing the first shared audio data and first FEA data is fetched from an audio buffer. The first FEA data is subsequently removed or extracted from the mixed audio data in response to the FEA delay.

Method and system for facilitating high-fidelity audio sharing

Methods, systems, and apparatus, including computer programs encoded on computer storage media for generating echo recordings. The system receives, by an autoencoder, an audio signal representation that represents an audio signal and a target echo embedding that comprises information about a target room. The autoencoder comprises an encoder and a decoder. The system generates, by the encoder, a content embedding and an estimated echo embedding. The system generates, by the decoder, an echo recording representation based on the content embedding and the target echo embedding.

One-shot acoustic echo generation network

Adaptive screen encoding control

An apparatus and/or method discloses a video conference with enhanced audio quality using high-fidelity audio sharing ('HAS'). In one embodiment, a network connection between a first user equipment ('UE') and a second UE is established via a communication network for providing an interactive real-time meeting. After sending a first calibration audio signal from the first UE to the second UE, a second calibration audio signal is retuned from the second UE to the first UE according to the first calibration audio signal. Upon identifying a far end audio (&#x201c;FEA&#x201d;) delay based on the first calibration audio signal and the second calibration audio signal, a first mixed audio data containing the first shared audio data and first FEA data is fetched from an audio buffer. The first FEA data is subsequently removed or extracted from the mixed audio data in response to the FEA delay.

An error resilience method comprising: using a computer, creating and storing, in computer memory, one or more FEC filter tables for use by the FEC filter for selectively forwarding a FEC packet; selectively forwarding a request for the FEC packet through a FEC filter based on the FEC table and a dynamic packet loss level at a receiver; limiting a re-transmission request for a particular packet through the FEC filter based on a number of re-transmission requests for the particular packet; and selectively skipping a key frame request based on a number of key frame requests received from a plurality receiver devices, wherein the method is performed by one or more special-purpose computing devices.

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Hefei, China

Zhaofeng Jia