Celebrity AR Ad Matching Across Age and Angle Variations
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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 a likeness of a subject with availability parameters, receiving and creating pitches, and using machine learning to match images of the subject across various angles and ages, allowing for geo-fenced and targeted AR experiences, with a platform that enables bidding by advertising agencies and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional image recognition technology is used to identify celebrities, then identification accuracy may be sufficient for clear images, but it fails when celebrities are in older pictures or at different angles
Solution Approach 1:
The system transforms celebrity likenesses into multi-dimensional parameter representations including facial geometry, color histograms, and texture features. These parameter sets are stored in the database and compared against captured images using machine learning algorithms, enabling accurate identification across varying conditions such as age, angle, and lighting.
Solution Approach 2:
The system creates digital copies of celebrity likenesses in the form of parameter sets that capture essential identifying features. These digital copies are stored in the database and can be matched against captured images without requiring the original physical presence or exact visual reproduction of the celebrity.
2Productivity
If advertisers want to use celebrities in AR advertisements, then engagement and effectiveness improve, but obtaining permission and finding suitable celebrities becomes more difficult
Solution Approach 1:
The system enables celebrities to autonomously manage their own likenesses by uploading photos, setting availability parameters, and controlling which advertisers can access their images. This self-service approach eliminates the need for complex intermediary permission processes while maintaining celebrity control and rights.
Solution Approach 2:
The system creates a universal platform that serves multiple functions: storing celebrity likenesses, managing permissions, enabling bidding by advertisers, and facilitating AR advertisement creation. This multi-functional platform simplifies the overall process for all stakeholders while improving advertising effectiveness.
3Adaptability or versatility
If machine learning is used for image matching, then the system can identify celebrities regardless of age or angle, but processing complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary processing by extracting and storing parameter sets from celebrity likenesses in advance. These pre-computed parameters including facial geometry, color histograms, and texture features are saved in the database, eliminating the need for complex real-time analysis during the matching phase and reducing computational complexity when processing incoming images.
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 AR advertising by identifying subjects regardless of image age or angle, facilitating targeted and geo-specific pitches, increasing revenue streams for celebrities and providing a new way for agencies to reach audiences, while allowing users to interact with their interests through a social network.
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
A 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.