Telefonaktiebolaget Lm Ericsson (publ)

Azuki Systems, Inc.

Ericsson Ab

IChang Lin

Raj Nair

Kevin J Ma

Jianguo Xu

Andrew Fiske Roberts

Chin-Cheng Wu

Man Li

Tung Ng

Radim Bartos

Swapnil Bhatia

In a system for streaming data over a network, the type and rate of streaming are automatically varied based on available network bandwidth. Video media is transcoded into different bit rate encodings that are divided into segment files. Segments are sent from a network-aware adaptive streaming (NAAS) server and reassembled and presented to a media player at a client device. The system may download additional segment files ahead of time from multiple NAAS servers to increase throughput. A playback status ('bookmark') may be maintained to keep track of what the user has viewed and to allow the user to continue playing from where the user left off. The user may continue watching from the bookmark point on the same device or on a different device.

System and method for network aware adaptive streaming for nomadic endpoints

A live streaming system/method provides cross platform live streaming capabilities to mobile devices. A file format compatible with legacy HTTP infrastructure is used to deliver media over a persistent connection. Legacy client media players can dynamically change the encoded rate of the media delivered over a persistent connection. Standard HTTP servers may be used without modification, leveraging standard media players embedded in mobile devices for seamless media delivery over wireless networks with high bandwidth fluctuations.

Method and system for live streaming video with dynamic rate adaptation

A live streaming system/method provides cross platform live streaming capabilities to mobile devices. The live streaming system includes a live streaming recorder operative to (1) capture a live media stream generated by a live media source and save the captured live media stream as a recorded stream in a recorded media file, and (2) transcode the recorded stream into a plurality of transcoded media files of respective different media encoding formats. The system further includes a stream distribution subsystem operative to generate a plurality of distributed media streams each generated from one or more of the transcoded media files, each distributed media stream being delivered to a corresponding set of the mobile endpoint devices.

Live streaming media delivery for mobile audiences

Method and apparatus for retrieving and rendering live streaming data

A media mashup system functions as a virtualizable endpoint called an Intelligent Multimedia Pod, or IMP, that ensures a reliable and high-quality multimedia user-experience for a variety of mobile user devices such as intelligent phones etc. The media mashup platform uses a web 2.0 media mashup model that offers several key features including Near Real Time (NRT) service continuity, control-proxy for a mobile-friendly web-surfing experience, finely-filtered content aggregation based on meta-data, context sensors and buddy blaster content sharing/recommendation. These features are brought together using a web 2.0 service mashup model that integrates media meta-data together with various context sensors including mobility-related sensors such as location and presence, time-of-day, voice commands, as well as time-shifted playback.

Media mashup system

A method and apparatus provide streaming delivery of data such as media data (video, audio) using a non-streaming delivery mechanism such as HTTP along with server-side pacing of the delivery. An initial portion of the media data is preloaded to a client buffer in a bursting manner to minimize latency. The method may include client request verification, support for client self-pacing, and support for catch-up pacing reductions. A proxy server apparatus may also be used which employs both server-side and client-side pacing and may include caching and both cache and client preloading for minimized latency. A similar proxy server apparatus may be used to provide an efficient alternative to client polling for data from a polled data service, such as stock quotes etc., using streaming updates. The method may include support for stream modification through persistent client requests.

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Westborough, MA, United States of America

IChang Lin