Abstract: Aspects of the subject disclosure may include, for example, obtaining a content item, receiving a first token that comprises an identification of a date and a time when a first portion of the content item is obtained, a location where the first portion of the content item is obtained, or a combination thereof, and transmitting the content item and the first token to a database. Other embodiments are disclosed.

Abstract: Methods, computer-readable media, and processing systems are disclosed for establishing a data sharing community for an event of an event type. For example, a processing system including at least one processor may detect, via at least one data source device, a trigger condition for an event of an event type, and establish a data sharing community for the event, the data sharing community including a plurality of data sources, the plurality of data sources including the at least one data source device, and a plurality of data consumers, where the establishing includes setting respective permission levels for the data consumers. The processing system may further collect data from the plurality of data sources in accordance with the event type, and provide at least a first portion of the data to at least a first data consumer in accordance with a respective permission level of at least the first data consumer.

Abstract: A method, where the method includes discovering an event where at least one device is offline and instantiating an emergency mode causing the at least one device to permit data or message aggregation. The method further includes defining a community of devices including an identity of the at least one device and establishing communication between the at least one device and a mobile aggregation device. The method further includes when the mobile aggregation device is in communication with the at least one device, aggregating a payload of a message or data from the at least one device and the community having an artificial intelligence instantiated as a virtual network function or network device, the community communicating with the mobile aggregation device to receive data from the at least one device, and the artificial intelligence being configured to assess the event based on the data obtained by the mobile aggregation device.

Abstract: Aspects of the subject disclosure may include, for example, a method, including: receiving, by a processing system including a processor, a request to play content; querying, by the processing system, for matches between the content and a user library; receiving, by the processing system, recommendations for alternate content of the user library and associated cue points in the content; and presenting, by the processing system, portions of the content and presenting other portions of the content replaced with the alternate content at the associated cue points. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device that includes a processing system having a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, where the operations include determining parameters for adapting audio in the content to the device, wherein the device renders the content, and wherein the parameters are based on semantic metadata embedded in the content, adapting the audio in the content based on the parameters, and rendering the content, as adapted by the parameters, to represent a semantic in the semantic metadata. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method, including: receiving, by a processing system including a processor, a request to play content; querying, by the processing system, for matches between the content and a user library; receiving, by the processing system, recommendations for alternate content of the user library and associated cue points in the content; and presenting, by the processing system, portions of the content and presenting other portions of the content replaced with the alternate content at the associated cue points. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including: receiving media content from user equipment, wherein the media content comprises a sample of an existing work used to modify an original work; analyzing the media content using machine learning to determine a plurality of composition parameters that characterize aspects of the media content; recording the plurality of composition parameters determined, including an identification of composition parameters in the plurality of composition parameters attributable to the existing work, and an identification of composition parameters attributable to the original work, in a blockchain ledger; searching for the composition parameters in the blockchain ledger for one or more works having similar composition parameters; and reporting any works found during th

Abstract: Methods, computer-readable media, and processing systems are disclosed for establishing a data sharing community for an event of an event type. For example, a processing system including at least one processor may detect, via at least one data source device, a trigger condition for an event of an event type, and establish a data sharing community for the event, the data sharing community including a plurality of data sources, the plurality of data sources including the at least one data source device, and a plurality of data consumers, where the establishing includes setting respective permission levels for the data consumers. The processing system may further collect data from the plurality of data sources in accordance with the event type, and provide at least a first portion of the data to at least a first data consumer in accordance with a respective permission level of at least the first data consumer.

Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including: receiving media content from user equipment, wherein the media content comprises a sample of an existing work used to modify an original work; analyzing the media content using machine learning to determine a plurality of composition parameters that characterize aspects of the media content; recording the plurality of composition parameters determined, including an identification of composition parameters in the plurality of composition parameters attributable to the existing work, and an identification of composition parameters attributable to the original work, in a blockchain ledger; searching for the composition parameters in the blockchain ledger for one or more works having similar composition parameters; and reporting any works found during th

Abstract: Methods, computer-readable media, and processing systems are disclosed for establishing a data sharing community for an event of an event type. For example, a processing system including at least one processor may detect, via at least one data source device, a trigger condition for an event of an event type, and establish a data sharing community for the event, the data sharing community including a plurality of data sources, the plurality of data sources including the at least one data source device, and a plurality of data consumers, where the establishing includes setting respective permission levels for the data consumers. The processing system may further collect data from the plurality of data sources in accordance with the event type, and provide at least a first portion of the data to at least a first data consumer in accordance with a respective permission level of at least the first data consumer.

Abstract: A method, where the method includes discovering an event where at least one device is offline and instantiating an emergency mode causing the at least one device to permit data or message aggregation. The method further includes defining a community of devices including an identity of the at least one device and establishing communication between the at least one device and a mobile aggregation device. The method further includes when the mobile aggregation device is in communication with the at least one device, aggregating a payload of a message or data from the at least one device and the community having an artificial intelligence instantiated as a virtual network function or network device, the community communicating with the mobile aggregation device to receive data from the at least one device, and the artificial intelligence being configured to assess the event based on the data obtained by the mobile aggregation device.

Abstract: Aspects of the subject disclosure may include, for example, a method, including: receiving, by a processing system including a processor, a request to play content; querying, by the processing system, for matches between the content and a user library; receiving, by the processing system, recommendations for alternate content of the user library and associated cue points in the content; and presenting, by the processing system, portions of the content and presenting other portions of the content replaced with the alternate content at the associated cue points. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example distinguishing a first user from a second user of a group of users based on distinguishable user attributes among the group of users. A first AR overlay is provided to equipment of the first user, and the first AR overlay is modified according to the distinguishable user attributes to obtain a second AR overlay that differs from the first AR overlay. A notification is provided to the second AR overlay, wherein a live event is observable by the equipment of the first user using the first AR overlay and by equipment of the second user using the second AR overlay. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method, including: receiving, by a processing system including a processor, a request to play content; querying, by the processing system, for matches between the content and a user library; receiving, by the processing system, recommendations for alternate content of the user library and associated cue points in the content; and presenting, by the processing system, portions of the content and presenting other portions of the content replaced with the alternate content at the associated cue points. Other embodiments are disclosed.

Abstract: A system includes a wireless network and a software defined network overlaid over the wireless network. The software defined network includes at least one UAV having a software defined network device and a bridging radio component. The system includes a communication component in communication with the bridging radio component and a controller connected to the software defined network that makes routing decisions and communicates the routing decisions to the software defined network device.

Abstract: Aspects of the subject disclosure may include, for example a machine-readable medium that includes executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, where the operations can include determining a level of experience that each of two or more users have with an AR event, identifying a primary user of the two or more users based on the level of experience, receiving an instruction from the primary user to modify an AR overlay for a user of the two or more users, and modifying the AR overlay based on the instruction. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including: receiving media content from user equipment, wherein the media content comprises a sample of an existing work used to modify an original work; analyzing the media content using machine learning to determine a plurality of composition parameters that characterize aspects of the media content; recording the plurality of composition parameters determined, including an identification of composition parameters in the plurality of composition parameters attributable to the existing work, and an identification of composition parameters attributable to the original work, in a blockchain ledger; searching for the composition parameters in the blockchain ledger for one or more works having similar composition parameters; and reporting any works found during th

Abstract: In one example, the present disclosure improves simulations based on the use of digital twins using social automatons. In one example, a method performed by a processing system including at least one processor includes constructing a digital twin of a physical environment, constructing a social automaton, wherein the social automaton comprises a virtual representation of an individual that is programmed to exhibit behaviors and characteristics of the individual, and inserting the social automaton into the digital twin to create an extended reality media in which interactions of the social automaton with the digital twin simulate interactions of the individual with the physical environment.

Abstract: Aspects of the subject disclosure may include, for example, a device that includes a processing system having a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, where the operations include determining parameters for adapting audio in the content to the device, wherein the device renders the content, and wherein the parameters are based on semantic metadata embedded in the content, adapting the audio in the content based on the parameters, and rendering the content, as adapted by the parameters, to represent a semantic in the semantic metadata. Other embodiments are disclosed.

Abstract: In one example, the present disclosure improves simulations based on the use of digital twins using social automatons. In one example, a method performed by a processing system including at least one processor includes constructing a digital twin of a physical environment, constructing a social automaton, wherein the social automaton comprises a virtual representation of an individual that is programmed to exhibit behaviors and characteristics of the individual, and inserting the social automaton into the digital twin to create an extended reality media in which interactions of the social automaton with the digital twin simulate interactions of the individual with the physical environment.