Abstract
Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for processing, understanding, and defining media content. An example process can include receiving, from a media device, a user input indicative of a preferred level of exposure to targeted media content; configuring, based on the user input, one or more playback settings associated with a media content item to accommodate a customized amount of the targeted media content during playback of the media content item; and sending, to the media device, the media content item and the customized amount of the targeted media content.
Full Text
What is claimed is:
Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for processing, understanding, and defining media content. An example process can include receiving, from a media device, a user input indicative of a preferred level of exposure to targeted media content; configuring, based on the user input, one or more playback settings associated with a media content item to accommodate a customized amount of the targeted media content during playback of the media content item; and sending, to the media device, the media content item and the customized amount of the targeted media content.
Timeline
Filed
02/19/2026Published
06/25/2026Granted
Not AvailableIPC Codes(4)
H04N 21/458:Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules
H04N 21/45:Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies or resolving scheduling conflicts
H04N 21/466:Learning process for intelligent management, e.g. learning user preferences for recommending movies