Microsoft Technology Licensing, LLC

Yurong Jiang

Karthiek Chandrasekaran

Federico Guillermo Hlawaczek

Ming Hu

Ivaylo G Dimitrov

Si Lao

Sining Ma

Vidit Mihirbhai Soni

Xu Wang

Aravind Sethuraman

Technologies for measuring and controlling live video latency are disclosed. Embodiments capture a live video scene, ingest the live video scene into a live video stream, and encode the live video stream with data that can be used to compute latency measurements. Embodiments communicate the live video stream to a content distribution network. The live video stream is distributed, directly or indirectly by the content distribution network, to one or more user systems. The one or more user systems present the live video stream to one or more users. Embodiments determine a latency of the live video stream based on, for example, a measurement that is obtained during the capturing of the live video stream and another measurement that is obtained during or in response to the presenting of the live video stream to the one or more users.

Live video latency measurement and control

Machine learning based method and system for video profile creation are described. The technical problem of permitting users to create professional quality video profile without requiring the expertise in using specialized video creation tools is addressed by a video profile creation system powered by machine learning methodologies. In one embodiment, the video profile creation system provides a guided video recording process, and also provides a video processing pipeline, where a recorded video is transformed into a professional-looking video profile.

Video profile creation system

The disclosed embodiments provide a system for coordinating distributed task execution. During operation, the system retrieves a first batch of tasks from multiple message queues in a distributed messaging system. Next, the system assigns the first batch of tasks to multiple task executors in a thread pool based on availabilities of the multiple task executors. The system also tracks statuses associated with processing the first batch of tasks based on communications from the multiple task executors. The system further periodically commits, based on the tracked statuses, offsets of completed tasks in the multiple message queues to the distributed messaging system.

Coordinating distributed task execution

Computer-implemented techniques facilitate end-to-end testing of a live streaming service and a content management service providing a live streaming platform integrated with live streaming service. The techniques can be used to test live stream ingestion as well as live stream delivery. Further, the techniques encompass a live player that can be used to test delivery and consumption of adaptive bitrate live streams that are delivered from endpoint servers of the live streaming service.

End-to-end testing of live digital media streaming

Systems and techniques for a large scale online lossless animated GIF processor are described herein. In an example, a lossless animated GIF processor is adapted to receive an animated GIF image and decode a first and second frame of the animated GIF image, wherein the decoding identifies a disposal method for each frame. The lossless animated GIF processor may determine an optimized disposal method for the second frame based on transparency pixels in the second frame and an overlap estimation between the second frame and the first frame. The lossless animated GIF processor may encode the second frame with the optimized disposal method. The lossless animated GIF processor may be further adapted to identify pixels in an area of interest, designate pixels outside the area of interest as transparent, and encode the area of interest and the pixels designated as transparent for the second frame.

Growing community of inventors

Sunnyvale, CA, United States of America

Yurong Jiang