Amazon Technologies, Inc.

At&t Intellectual Property I, L.p.

University of Southern California

Zahaib Akhtar

Yongjun Wu

Subhabrata Bapi Sen

Emir Halepovic

Shuai Hao

Satheesh Ramalingam

Ramesh Govindan

Mohan Padmanabhan

Yaguang Li

Tianyu Chen

Adaptive bitrate techniques are used to select bitrates of segments to download when streaming video content. Different bitrate paths may be evaluated to optimize an objection function. Filtering bitrate paths that are unlikely to be optimal increases the computational speed, facilitating deployment.

Adaptive video streaming algorithm for optimized model predictive control

Devices, computer-readable media, and methods for making a cache admission decision regarding a video chunk are described. For instance, a processing system including at least one processor may obtain a request for a first chunk of a first video, determine that the first chunk is not stored in a cache, and apply, in response to the determining that the first chunk is not stored in the cache, a classifier to predict whether the first chunk will be re-requested within a time horizon, where the classifier is trained in accordance with a set of features associated with a plurality of chunks of a plurality of videos. When it is predicted via the classifier that the first chunk will be re-requested within the time horizon, the processing system may store the first chunk in the cache.

Adaptive bitrate video cache

Growing community of inventors

San Jose, CA, United States of America

Zahaib Akhtar