H04N21/232

SYSTEMS AND METHODS FOR SWITCHING FROM A NON-LINEAR SERVICE TO A LINEAR SERVICE

Systems and methods are provided herein for receiving a request from a user to access a video that is scheduled for transmission, simultaneously to a plurality of users, beginning from a scheduled start time. The request is received after the scheduled start time the transmission is performed by a linear service to which the user subscribes. In response to receiving the request, the systems and methods may generate for display the video to the user, and may receive, during display of the video, a command from the user to start playback of the video over from the beginning. In response to receiving the command, the systems and methods may identify a non-linear service to which the user subscribes that offers a non-linear copy of the video, and may play back the non-linear copy of the video from the beginning.

SYSTEMS AND METHODS FOR SWITCHING FROM A NON-LINEAR SERVICE TO A LINEAR SERVICE

Systems and methods are provided herein for receiving a request from a user to access a video that is scheduled for transmission, simultaneously to a plurality of users, beginning from a scheduled start time. The request is received after the scheduled start time the transmission is performed by a linear service to which the user subscribes. In response to receiving the request, the systems and methods may generate for display the video to the user, and may receive, during display of the video, a command from the user to start playback of the video over from the beginning. In response to receiving the command, the systems and methods may identify a non-linear service to which the user subscribes that offers a non-linear copy of the video, and may play back the non-linear copy of the video from the beginning.

Lock-free sharing of live-recorded circular buffer resources

Novel techniques are described for lock-free sharing of a circular buffer. Embodiments can provide shared, lock-free, constant-bitrate access by multiple consumer systems to a live stream of audiovisual information being recorded to a circular buffer by a producer. For example, when a producer system writes a data stream to the circular buffer, the producer system records shared metadata. When a consumer system desires to begin reading from the shared buffer at a particular time, the shared metadata is used to compute a predicted write pointer location and corresponding dirty region around the write pointer at the desired read time. A read pointer of the consumer system can be set to avoid the dirty region, thereby permitting read access to a stable region of the circular buffer without relying on a buffer lock.

Providing access to managed content

A method for providing local access to managed content is disclosed. The method comprises receiving from a remote host a request to perform an operation with respect to content associated with a set of managed content and obtaining information required to respond to the request. The method further comprises providing in response to the request a content locator usable to perform the requested operation through direct communication with a content system through which the content is accessible.

Providing access to managed content

A method for providing local access to managed content is disclosed. The method comprises receiving from a remote host a request to perform an operation with respect to content associated with a set of managed content and obtaining information required to respond to the request. The method further comprises providing in response to the request a content locator usable to perform the requested operation through direct communication with a content system through which the content is accessible.

REMOTE VIRTUALIZED ASSET DELIVERY AND LOCAL PROVISIONING
20230144263 · 2023-05-11 ·

Interaction output over a local computer-readable medium (CRM) generated based on user interaction with rendered content input representing a virtualized asset being is received at a virtualized asset local provisioning server. A manner to exploit the virtualized asset is determined from interaction output. The virtualized asset is exploited based on the determined manner to exploit the virtualized asset. A request for a portion of the virtualized asset generated in response to the exploiting the virtualized asset is intercepted. If it is determined that the portion of the virtualized asset is absent from the local storage, a request for the portion of the virtualized asset is sent to a virtualized asset delivery system over a non-local CRM; the portion of the virtualized asset retrieved by the virtualized asset delivery system is received over the non-local CRM; and the received portion of the virtualized asset is used in exploiting the virtualized asset.

EPHEMERAL LEARNING OF MACHINE LEARNING MODEL(S)

Implementations disclosed herein are directed to ephemeral learning of machine learning (“ML”) model(s) based on gradient(s) generated at a remote system (e.g., remote server(s)). Processor(s) of the remote system can receive stream(s) of audio data capturing spoken utterance(s) from a client device of a user. A fulfillment pipeline can process the stream(s) of audio data to cause certain fulfillment(s) of the spoken utterance(s) to be performed. Meanwhile, a training pipeline can process the stream(s) of audio data to generate gradient(s) using unsupervised learning techniques. Subsequent to the processing by the fulfillment pipeline and/or the training pipeline, the stream(s) of audio data are discarded by the remote system. Accordingly, the ML model(s) can be trained at the remote system without storing or logging of the stream(s) of audio data by non-transient memory thereof, thereby providing more efficient training mechanisms for training the ML model(s) and also increasing security of user data.

EPHEMERAL LEARNING OF MACHINE LEARNING MODEL(S)

Implementations disclosed herein are directed to ephemeral learning of machine learning (“ML”) model(s) based on gradient(s) generated at a remote system (e.g., remote server(s)). Processor(s) of the remote system can receive stream(s) of audio data capturing spoken utterance(s) from a client device of a user. A fulfillment pipeline can process the stream(s) of audio data to cause certain fulfillment(s) of the spoken utterance(s) to be performed. Meanwhile, a training pipeline can process the stream(s) of audio data to generate gradient(s) using unsupervised learning techniques. Subsequent to the processing by the fulfillment pipeline and/or the training pipeline, the stream(s) of audio data are discarded by the remote system. Accordingly, the ML model(s) can be trained at the remote system without storing or logging of the stream(s) of audio data by non-transient memory thereof, thereby providing more efficient training mechanisms for training the ML model(s) and also increasing security of user data.

CENTRAL ASSET REGISTRY SYSTEM AND METHOD

A central asset registry ties Digital Asset Management (DAM) repositories into a unified system. The central asset registry removes the tracking of asset relationships from the DAMs by gathering asset metadata tags and capturing relationships between assets to provide improved speed, scalability, and flexibility in analyzing and traversing networks of relationships of digital assets. The central asset registry allows the use of a pluggable architecture and tracks and stores multi-dimensional relationships as an asset hierarchy. The asset hierarchy provides a depiction of relationship data between the assets and provides a flexible array of asset types and properties that allows the addition of new assets and new asset types without re-factoring the other data, nodes, and edges. The system also uses asset metadata to create edge relationships between the assets. The central asset registry facilitates queries and retrieval of the media assets.

Linear programming based distributed multimedia storage and retrieval

Video on demand is orchestrated between systems by linear program (LP) based multimedia storage and retrieval. An LP based storage and retrieval system can partition multimedia data into an integral number of segments. Further, the LP based storage and retrieval system can store a first amount of the integral number of segments in a storage device of storage devices of a storage network in response to a determination that a storage size of the storage device satisfies a first condition with respect to the first amount of the integral number of segments. Furthermore, such system can store a segment of a second amount of the integral number of segments in a remote storage device of the remote storage devices in response to a determination that the segment satisfies a second condition with respect to a defined number of remote storage devices of the storage devices that have stored the segment.