Celebrity AR Ad Matching With Automated Likeness Licensing
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Solution Overview
Problem
Advertisers face challenges in incorporating celebrities into augmented reality advertisements due to technological limitations in identifying celebrities from older images and obtaining permission for their use, as well as finding alternative celebrities who can attract target demographics.
Innovation Solution
A system and method for celebrity-based augmented reality advertising that involves storing celebrity likenesses and their availability parameters on a server, allowing agencies to bid on bookings, and using machine learning to match images of celebrities regardless of age or angle, enabling the creation and transmission of augmented reality pitches to user devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to identify celebrities in advertisements, then permission must be obtained from each celebrity, but the process becomes time-consuming and complex
Solution Approach 1:
The patent creates digital copies (avatars) of celebrities that can be used in advertisements without requiring direct permission from the actual celebrities. These avatars are trained on celebrity images and behaviors, allowing advertisers to use celebrity-like representations while the system automatically manages identification and licensing through the platform.
Solution Approach 2:
The patent introduces an intermediary platform (Celebrity AR) that acts as a mediator between advertisers and celebrity likenesses. The platform handles the complex tasks of celebrity identification, permission management, and licensing automatically, eliminating the need for advertisers to directly negotiate with each celebrity while maintaining accurate identification through the system's database and matching algorithms.
2Productivity
If augmented reality technology is used for advertising, then user engagement increases, but the complexity of implementing celebrity identification and licensing increases
Solution Approach 1:
The patent implements self-service functionality where the system automatically performs celebrity identification, pitch generation, and licensing without requiring manual intervention. The automated pitch generation uses the identified celebrity's likeness and parameters to create relevant advertisements, while the system automatically manages licensing agreements and permissions, significantly reducing implementation complexity for advertisers.
Solution Approach 2:
The patent performs preliminary actions by pre-training celebrity avatars and pre-establishing licensing frameworks before advertising campaigns begin. The system pre-processes celebrity data, creates digital representations, and sets up permission structures in advance, so that when advertisers want to use celebrity likenesses, the complex work has already been completed, reducing real-time complexity.
3Adaptability or versatility
If celebrity likenesses are used across different ages and angles, then advertising versatility increases, but identification accuracy becomes more difficult
Solution Approach 1:
The patent implements dynamic celebrity avatars that can adapt to different ages, angles, and contexts while maintaining identification accuracy. The system uses machine learning models that are trained on varied celebrity data including different ages, poses, and lighting conditions, allowing the avatars to dynamically adjust their appearance while the underlying identification system recognizes the celebrity identity across these variations through multi-parameter matching.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective celebrity-based augmented reality advertising by allowing agencies to target specific demographics and increasing revenue streams for celebrities through targeted marketing and sales, while providing users with interactive and engaging experiences.
Implementation Method 1
determining, by the server, that the image matches the likeness of the subject using machine learning such that the server determines that the first image matches the likeness of the subject regardless of an age of the subject in the first image or an age of the subject in the likeness, and regardless of an angle of the object within the first image or an angle of the object within the likeness
Data Source
AI summary
Method for celebrity-based advertising includes storing, in a server, a likeness of subject and a corresponding booking that includes parameters outlining availability of the subject for digital advertising. The method further includes receiving or creating, by the server, a pitch that falls within the parameters of the booking, the pitch corresponding to the subject. The method further includes receiving, by the server and from a first user device, a first image of the likeness of the subject or another likeness of the subject. The method further includes determining, by the server, that the image matches the likeness of the subject. The method further includes transmitting, by the server, the pitch to the first user device to be output by the first user device.