Abstract: A multimedia player downloads chunks (parts of the segment file) during the download of a segment of a stream of segments of a low-latency stream. The first chunks of a segment may be downloaded while the segment is still being written to the CDN server. A chunk-based prediction adaptation logic uses throughput measurements on a chunk instead of a segment and specifically looks at bursts in a sliding window. This data is used to build a prediction of future throughput by applying linear adaptive filter algorithms that may rely on recursive least squares. This adaptation logic leads to very accurate bandwidth predictions and as a consequence, better user experience, compared to existing adaptation algorithms.

Abstract: A method of streaming remotely located content, performed at a client device, comprises: communicating with a plurality of servers each of which hosts multiple copies of the content, said copies being encoded at different respective bitrates and each being divided into a plurality of segments that are arranged according to a time sequence; and requesting a concurrent download of a set of segments from a group of download servers that is at least a subset of the plurality of servers; wherein respective segments in the set are downloaded from different servers in the group of download servers, said segments being consecutive in the time sequence.

Abstract: A multimedia player downloads chunks (parts of the segment file) during the download of a segment of a stream of segments of a low-latency stream. The first chunks of a segment may be downloaded while the segment is still being written to the CDN server. A chunk-based prediction adaptation logic uses throughput measurements on a chunk instead of a segment and specifically looks at bursts in a sliding window. This data is used to build a prediction of future throughput by applying linear adaptive filter algorithms that may rely on recursive least squares. This adaptation logic leads to very accurate bandwidth predictions and as a consequence, better user experience, compared to existing adaptation algorithms.