Microsoft Technology Licensing, LLC

Jayashree Sadagopan

Sanjeev Mehrotra

Costin Hagiu

Weidong Zhao

Lihua Zhu

B Anil Kumar

Erik Fortune

Rylan Michael Hawkins

Peter Geoffrey Constable

Sunggook Chue

Olof L E Mases

Dennis Chi

Laura Gonzalez Gomez

Jingyaw Sun

Winston M P Johnston

Michael E Seydl

Innovations in video playback using a browser-based video decoder are described. In a computer system that includes multiple central processing units ('CPUs'), a browser-based video decoder performs operations with multiple threads that may execute simultaneously on different CPUs. The video decoder can perform decoding operations in parallel for different sections of a picture. For example, with a main CPU thread associated with a browser, the video decoder performs a first decoding workload (e.g., bitstream parsing) for a picture. With auxiliary CPU threads associated with Web workers and simultaneously executing on different CPUs, the video decoder performs a second decoding workload (e.g., entropy decoding, decoding of side information) for different sections of the picture, one section per auxiliary CPU thread. If the computer system also includes a graphics processing unit ('GPU'), the video decoder can perform additional decoding workloads with shader routines executable on the GPU.

Browser-based video decoder using multiple CPU threads

Technologies are described for performing equation-based rate control using delay. For example, an observed network data rate and a network delay can be obtained for a network communication. A target network data rate can be calculated using the observed network data rate and the network delay. The target network data rate is calculated using an equation-based approach. For example, the equation-based rate control can set the target network data rate to a value that is directly proportional to the observed network data rate and inversely related to the network delay. The target network data rate is used to set the bitrate for the network communication.

Equation-based rate control using network delay for variable bitrate scenarios

Technologies are described for performing hybrid rate control that switches between a delay-based mode and a passive loss-based mode for a flow of network traffic. The switching can be performed based on the presence of loss-based TCP network flows. For example, rate control can be performed for a flow of network traffic in a delay-based mode. When the presence of a loss-based TCP network flow is detected, the flow of network traffic can be switched from the delay-based mode to a passive loss-based mode and rate control can be performed in the passive loss-based mode. When the loss-based TCP flow is no longer detected, the flow of network traffic can be switched back to the delay-based mode.

Delay based congestion control protocol co-existing with TCP

A resource index on a computing device identifies multiple resource instances (e.g., multiple user interface (UI) resource instances) of multiple resource items (e.g., of multiple UI resource items), each resource instance having one or more resource instance conditions. In response to a request for a resource item received from an application, a determination is made based on the resource index of one of the multiple resource instances that satisfy conditions associated with the request, and the one of the multiple resource instances is returned to the application. Additionally, the resource index can be used to identify potential errors in running an application in various potential contexts.

Resource index identifying multiple resource instances and selecting most appropriate UI resource instance based on weighted resource request conditions

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Bellevue, WA, United States of America

Jayashree Sadagopan