Nvidia Corporation

Ati Technologies Inc.

Olivier Lapicque

Srinivas Anne

Walter E Donovan

Rouslan Lyubomirov Dimitrov

Santanu Dutta

Viktor Grigoryevich Vandanov

Chris Amsinck

Franck Diard

Thomas Meier

Rahul Gowda

In various examples, a media stream may be received by a re-encode system that may leverage a recode engine to convert (e.g., at an interval, based on a request, etc.) an inter-frame associated with the media stream to an intra-frame. The intra-frame may be converted from the inter-frame using parameters or other information associated with and received with the media stream. The converted intra-frame may be merged into an updated segment of the media stream in place of the original inter-frame to enable storage of the updated segment—or a portion thereof—for later use.

Re-encoding predicted picture frames in live video stream applications

The present disclosure is directed to a method and system for increasing virtual machine (VM) density on a server system through adaptive rendering by dynamically shifting video rendering tasks to a client computing device. In one embodiment, a processor in a server manages virtual machines in the server by controlling a number of VMs and an amount of system resources allocated to the VMs. The number of VMs and the amount of resources allocated to the VMs are controlled by shifting video rendering from at least one of the VMs to a client device, and increasing the number of the VMs in the server after the shifting.

Managing virtual machine density by controlling server resource

In various examples, a media stream may be received by a re-encode system that may leverage a recode engine to convert (e.g., at an interval, based on a request, etc.) an inter-frame associated with the media stream to an intra-frame. The intra-frame may be converted from the inter-frame using parameters or other information associated with and received with the media stream. The converted intra-frame may be merged into an updated segment of the media stream in place of the original inter-frame to enable storage of the updated segment&#x2014;or a portion thereof&#x2014;for later use.

The present disclosure is directed to a method to increase virtual machine density on a server system through adaptive rendering by dynamically determining when to shift video rendering tasks between the server system and a client computing device. In another embodiment, the adaptive rendering, using various parameters, can select one or more encoding and compression algorithms to use to prepare and process the video for transmission to the client computing device. In another embodiment, a video rendering system is disclosed that can adaptively alter how and where a video is rendered, encoded, and compressed.

Dynamically shifting video rendering tasks between a server and a client

A subsystem configured to upsample a video data stream encoded in YCrCb format 4:2:0 (also termed YUV 4:2:0) performs an algorithm upon a two-by-two group of subsampled pixels. The subsystem computes an inside probability that the chrominance of a target pixel is a close match to the chrominance inside the group of four pixels. The subsystem further computes three weighting factors relating the chrominance of the target pixel to each of three adjacent pixels in an upsampled four-by-four pixel group. The subsystem then computes an outside estimate of the chrominance based on the weighting factors. Finally, the subsystem computes the chrominance of the target pixel based on the inside probability, the outside estimate, and the subsampled chrominance. The subsystem performs the algorithm upon all two-by-two groups of four pixels within a subsampled YUV 4:2:0 video data stream and generates an upsampled YUV 4:4:4 video data stream.

Techniques for nonlinear chrominance upsampling

Techniques for non-subsampled video encoding of R'G&#x2032;B&#x2032; data using Y&#x2032;, Cb and Cr data to generate compressed data wherein the Y&#x2032;-plane comprises three separate color frames that are not interleaved, and recovering the data therefrom.

Non-subsampled encoding techniques

Systems and methods for multiplexing audio/video data and generating transport streams for WiFi network with reduced latency for real time playback at a remote device. A virtual presentation clock reference (PCR) representing a scheduled transmission time of a transport stream packet at a transport stream multiplexer is calculated based on the network transmission rate and generation of the data packets. The virtual PCR is compared with the corresponding system PCR to derive a time difference. Based on the time difference, the transport stream multiplexer is configured to adaptively drop packets or throttle packet generation so as to synchronize the playback of audio/video data on a sink device with the generation of interleaved audio/video packets.

Real time network adaptive low latency transport stream muxing of audio/video streams for miracast

A system and method for localization of sounds in 3-D space using Head Related Transfer Functions (HRTFs) are disclosed herein. A plurality of audio signals and/or sound sources, or 'voices', represented by data, such as one or more audio files or streaming audio data, is transmitted from an audio source, such as a compact disc player, to an audio processing system. The audio processing system, in one embodiment, prioritizes the voices based on characteristics of the voices, such as the relative listening benefit of sound localization of a particular voice. In one embodiment, a finite impulse response (FIR) filter is used to apply a HRTF to the voices. The audio processing system distributes up to a fixed number of coefficients among the voices, where the distribution of the coefficients, in one embodiment, is based on the priority of each channel. Those voices having a higher priority than other voices could have a greater number of coefficients assigned to them than the lower priority voices. The voices, in one embodiment, are processed by the FIR filter using the assigned number of coefficients for each voice. The results of the FIR filter can then be further processed, if needed, and output to a set of speakers, a storage device, and the like. By distributing a fixed number of coefficients among the plurality of voices, a dynamic tradeoff between sound localization quality and processing effort and/or time can be achieved based on the voices' priorities.

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San Jose, CA, United States of America

Olivier Lapicque