Simulating a local experience by live streaming sharable viewpoints of a live event

A method comprising:

• obtaining multiple live streams at a remote client device, each of the multiple live streams being from a respective vantage point of a live event,
• wherein the multiple live streams are sourced from a local set of client devices located at the live event, and
• wherein the remote client device is located remote from the live event;
• receiving, by the remote client device, user input indicating a selection of a particular augmented reality (AR) content;
• obtaining, by the remote client device, a first live stream and a second live stream of multiple live streams from the local set of client devices, the first live stream and the second live stream being modified to incorporate the particular AR content;
• receiving, from the remote client device, an input indicating a user preference for the AR content, wherein the user preference for the AR content is based on a machine learning algorithm that automatically detects the user preference based on interactions between the remote client device and a second client device;
• and
• rendering the modified first live stream and the modified second live stream simultaneously on the remote client device to present the live event from different vantage points and including the particular AR content.

At least one non-transitory computer-readable storage medium which, when executed by at least one data processor of a system, cause the system to:

• interconnect multiple client devices over a network, the multiple client devices including a local group of the multiple client devices located at a live event and a remote group of the multiple client devices located remote from the live event;
• receive live streams from the local group of the multiple client devices,
• wherein each client device of the local group is a potential source of a live stream that, when rendered by another client device, causes a display of a vantage point of the live event;
• selectively switch between displaying different live streams of the live event,
• wherein each live stream comprises a plurality of packets grouped into scenes,
• wherein each scene is defined by a discrete point in time of a corresponding live stream in which the vantage point can change, and
• wherein switching between displaying different live streams occurs at a beginning of a next scene of a current live stream after initiating the change in the current live stream, and
• receive, from a first client device of the remote group of the multiple client devices, an input indicating a user preference, wherein the user preference is based on a machine learning algorithm that automatically detects the user preference based on interactions between the first client device and a second client device of the remote group of the multiple client devices.