Abstract: A sparse streaming system provides a first-class means for sparse metadata to be added to streaming media presentations and to be delivered using an integrated data channel that is cacheable using readily available HTTP-based Internet caching infrastructure for increased scalability. The sparse streaming system stores a reference to a sparse track within a continuous track. If a continuous fragment arrives at the client that refers to a sparse fragment that the client has not yet retrieved, then the client requests the sparse fragment. In addition, each sparse fragment may include a backwards reference to the sparse fragment created immediately prior. The references in the continuous fragments make the client aware of new sparse track fragments, and the backwards references in the sparse track fragments ensure that the client has not missed any intervening sparse track fragments.

Abstract: A sparse streaming system provides a first-class means for sparse metadata to be added to streaming media presentations and to be delivered using an integrated data channel that is cacheable using readily available HTTP-based Internet caching infrastructure for increased scalability. The sparse streaming system stores a reference to a sparse track within a continuous track. If a continuous fragment arrives at the client that refers to a sparse fragment that the client has not yet retrieved, then the client requests the sparse fragment. In addition, each sparse fragment may include a backwards reference to the sparse fragment created immediately prior. The references in the continuous fragments make the client aware of new sparse track fragments, and the backwards references in the sparse track fragments ensure that the client has not missed any intervening sparse track fragments.

Abstract: A sparse streaming system provides a first-class means for sparse metadata to be added to streaming media presentations and to be delivered using an integrated data channel that is cacheable using readily available HTTP-based Internet caching infrastructure for increased scalability. The sparse streaming system stores a reference to a sparse track within a continuous track. If a continuous fragment arrives at the client that refers to a sparse fragment that the client has not yet retrieved, then the client requests the sparse fragment. In addition, each sparse fragment may include a backwards reference to the sparse fragment created immediately prior. The references in the continuous fragments make the client aware of new sparse track fragments, and the backwards references in the sparse track fragments ensure that the client has not missed any intervening sparse track fragments.

Abstract: A low latency streaming system provides a stateless protocol between a client and server with reduced latency. The server embeds incremental information in media fragments that eliminates the usage of a typical control channel. In addition, the server provides uniform media fragment responses to media fragment requests, thereby allowing existing Internet cache infrastructure to cache streaming media data. Each fragment has a distinguished Uniform Resource Locator (URL) that allows the fragment to be identified and cached by both Internet cache servers and the client's browser cache. The system reduces latency using various techniques, such as sending fragments that contain less than a full group of pictures (GOP), encoding media without dependencies on subsequent frames, and by allowing clients to request subsequent frames with only information about previous frames.

Abstract: A streaming abstraction system is described herein that provides application developers a client software development kit (SDK) on top of which to build smooth streaming solutions. The system reduces development time considerably and abstracts platform specific intricacies and protocol handling on the client. In addition, the streaming abstraction system makes it possible to monetize streaming content with advanced features like advertising and analytics and provides advanced capabilities like multiple camera angles, diagnostics, and error handling. In some embodiments, the streaming abstraction system provides an intermediate layer that operates between an application and an underlying client media platform. The intermediate layer manages smooth streaming protocol handling as well as interactions with the platform-specific runtime.

Abstract: A reliable streaming system increases reliability of live and on-demand streaming media events through a robust server architecture that allows fast failover and recovery in the event of network, hardware, or other failures. The system provides for failover of encoders, ingest servers, which receive encoded media data from encoders, and origin servers, which serve as the retrieval point of last resort for connecting clients. The system also provides a push proxy mechanism that allows one copy of data to feed redundant servers and pre-warm caches, saving on provisioned bandwidth. In addition, the system provides a distribution server role that allows content to be automatically syndicated to a region when needed. Thus, the reliable streaming system provides a streaming solution with no single point of failure and redundancy and fast failover built into the content network architecture.

Abstract: A streaming abstraction system is described herein that provides application developers a client software development kit (SDK) on top of which to build smooth streaming solutions. The system reduces development time considerably and abstracts platform specific intricacies and protocol handling on the client. In addition, the streaming abstraction system makes it possible to monetize streaming content with advanced features like advertising and analytics and provides advanced capabilities like multiple camera angles, diagnostics, and error handling. In some embodiments, the streaming abstraction system provides an intermediate layer that operates between an application and an underlying client media platform. The intermediate layer manages smooth streaming protocol handling as well as interactions with the platform-specific runtime.

Abstract: A sparse streaming system provides a first-class means for sparse metadata to be added to streaming media presentations and to be delivered using an integrated data channel that is cacheable using readily available HTTP-based Internet caching infrastructure for increased scalability. The sparse streaming system stores a reference to a sparse track within a continuous track. If a continuous fragment arrives at the client that refers to a sparse fragment that the client has not yet retrieved, then the client requests the sparse fragment. In addition, each sparse fragment may include a backwards reference to the sparse fragment created immediately prior. The references in the continuous fragments make the client aware of new sparse track fragments, and the backwards references in the sparse track fragments ensure that the client has not missed any intervening sparse track fragments.

Abstract: A reliable streaming system increases reliability of live and on-demand streaming media events through a robust server architecture that allows fast failover and recovery in the event of network, hardware, or other failures. The system provides for failover of encoders, ingest servers, which receive encoded media data from encoders, and origin servers, which serve as the retrieval point of last resort for connecting clients. The system also provides a push proxy mechanism that allows one copy of data to feed redundant servers and pre-warm caches, saving on provisioned bandwidth. In addition, the system provides a distribution server role that allows content to be automatically syndicated to a region when needed. Thus, the reliable streaming system provides a streaming solution with no single point of failure and redundancy and fast failover built into the content network architecture.

Abstract: A low latency streaming system provides a stateless protocol between a client and server with reduced latency. The server embeds incremental information in media fragments that eliminates the usage of a typical control channel. In addition, the server provides uniform media fragment responses to media fragment requests, thereby allowing existing Internet cache infrastructure to cache streaming media data. Each fragment has a distinguished Uniform Resource Locator (URL) that allows the fragment to be identified and cached by both Internet cache servers and the client's browser cache. The system reduces latency using various techniques, such as sending fragments that contain less than a full group of pictures (GOP), encoding media without dependencies on subsequent frames, and by allowing clients to request subsequent frames with only information about previous frames.

Abstract: A smooth streaming system provides a stateless protocol between a client and server in which the server embeds incremental control information in media fragments. The server provides uniform media fragment responses to media fragment requests that are cacheable by existing Internet cache infrastructure. The smooth streaming system receives media data in fragments from one or more encoders, creates an index of each fragment, and stores the fragments. The server provides fragments to clients that contain metadata information describing the encodings available on the server and the encoding of the fragment. The server may also provide information within each fragment that allows the client to determine whether the client is requesting data too fast or too slow, so that the client can adapt its request rate to a cadence in tune with the rate at which the server is receiving encoder data.