SYSTEMS AND METHODS FOR ALERTING A USER TO PUBLISHED UNDESIRABLE IMAGES DEPICTING THE USER

Smart overview of the Invention

The patent application describes a system and method for alerting users when media assets depict them with expressions they find undesirable. It involves identifying media assets associated with a first user that include depictions of a second user. The system retrieves a set of expressions that the second user has marked as undesirable and compares them to the depictions in the media assets. If a match is found, the system generates a notification to inform the second user about these depictions.

Background

With the widespread use of cameras and social media, users are increasingly concerned about unflattering or undesirable images being shared publicly. While current systems allow users to tag others in photos, they do not notify individuals about potentially undesirable content. This invention aims to fill that gap by providing alerts for specific depictions that users might not want to be public.

Functionality

The system utilizes a media guidance application that can operate on various devices or servers. It identifies media assets depicting a second user and requests a list of undesirable expressions from a remote server. The application then compares these expressions with those in the media assets to find matches. If any are found, it stores the information and notifies the second user.

Implementation Details

The media guidance application sends requests to retrieve depiction entries from a remote server using identifiers for the second user. It receives data structures containing expressions deemed undesirable by the user. The application uses image processing techniques to compare these with depictions in the media assets, identifying matches and storing them for notification purposes.

Advanced Features

In some embodiments, the system can handle keywords associated with depictions and depiction entries, using machine learning algorithms for image analysis. It compares keywords from both sources to detect matches, enhancing the system's ability to identify undesirable depictions accurately. This approach allows for more sophisticated detection and alert mechanisms.