Spirent Communications, Inc.

Cox Communications, Inc.

Sedna Patent Services, LLC

Diva Systems Corporation

Michael Colligan

Yong Ho Son

Jeremy Charles Bennington

Christopher Goode

Mithun Ashwathappa

The technology disclosed teaches a method of testing performance of a device-under-test during cloud gaming over a live cellular network. The method comprises instrumenting the device-under-test with at least one instrument app that interacts with a browser on the device-under-test and captures performance metrics from gaming network traffic. The browser and the instrument app can be invoked using a test controller separated from the device-under-test, causing the browser to connect to a gaming simulation over the live cellular network. A segmented gaming image stream is transmitted to the browser, with segmented playing at varying bit rates and image complexity while the instrument app causes the browser to transmit artificial gameplay events to a gaming simulation test server. Performance metrics from the gaming network traffic are captured, as well as gaming images rendered by the browser during the segmented gaming image stream.

Cloud gaming benchmark testing

At least three uses of the technology disclosed are immediately recognized. First, a video stream classifier can be trained that has multiple uses. Second, a trained video stream classifier can be applied to monitor a live network. It can be extended by the network provider to customer relations management or to controlling video bandwidth. Third, a trained video stream classifier can be used to infer bit rate switching of codecs used by video sources and content providers. Bit rate switching and resulting video quality scores can be used to balance network loads and to balance quality of experience for users, across video sources. Balancing based on bit rate switching and resulting video quality scores also can be used when resolving network contention.

Training an encrypted video stream network scoring system with non-reference video scores

The disclosed technology teaches training a NR VMOS score generator by generating synthetically impaired images from FR video using filters tuned to generate impaired versions and applying a FR VMOS generator to pairs of unimpaired FR images from the FR video and the impaired versions of the FR images to create ground truth scores for the impaired versions. The disclosed method also includes training by machine learning model an image evaluation classifier using the ground truth scores and the impaired versions to generate NR VMOS scores, and storing coefficients of the image evaluation classifier for use as the NR VMOS score generator. Also disclosed is generating a NR VMOS score by invoking the trained NR VMOS score generator, with stored coefficients generated by feeding the trained NR VMOS score generator with images captured from scenes in a video to be scored, and evaluating the images to generate NR VMOS scores.

Training a non-reference video scoring system with full reference video scores

A method and apparatus for adapting the delivery of assets and/or content to set top terminals within a heterogeneous information distribution system based on graphics and/or processing capability of set top terminals receiving the assets and/or content.

Method and apparatus providing process independence within a heterogeneous information distribution system

Selective encryption is provided in a process which includes: determining whether a predetermined criterion is satisfied; setting a selective encryption status field if the predetermined criterion is satisfied; and encrypting an unencrypted payload to generate an encrypted payload, and constructing a packet with the encrypted payload, if the predetermined criterion is satisfied. The predetermined criterion may be one of several criteria, each of which reduce the required amount of encryption and decryption while maintaining a high level of security. Renewable encryption is provided in a process which includes: copying a first encrypted digital video program from a remote server to a video source; decrypting the first encrypted digital video program using a first key to generate an unencrypted digital video program; encrypting the unencrypted digital video program using a second key to generate a second encrypted digital video program; transmitting the second encrypted digital video program from the video source to the remote server; and deleting the first encrypted digital video program from the remote server.

Growing community of inventors

Sunnyvale, CA, United States of America

Michael Colligan