Dynamic Product Placement in Graphic Narratives via AI Segmentation
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Solution Overview
Problem
Digital versions of graphic narratives lack interactive elements and fail to leverage advancements in technologies like artificial intelligence and machine learning, limiting the user experience and commercialization opportunities for creators.
Innovation Solution
A method and system for modifying graphic narratives by segmenting elements within panels, selecting products to be featured, and generating a modified version with AI-generated content that promotes selected products, allowing viewers to interact with or purchase featured items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital formats present the original artwork without modifications, then the authenticity of the graphic narrative is preserved, but interactivity and commercialization opportunities are limited
Solution Approach 1:
The system dynamically generates multiple versions of the graphic narrative by selectively modifying elements in different panels based on viewer characteristics and contextual relevance, transforming static content into adaptive, interactive experiences without altering the original artwork
Solution Approach 2:
The graphic narrative is segmented into individual panels and elements, allowing selective modification of specific components while preserving others, enabling interactivity to be added without compromising the overall authenticity of the original work
2Productivity
If AI-generated content is used to feature products, then commercialization opportunities are enhanced, but the complexity of the system increases
Solution Approach 1:
The system automatically analyzes graphic narrative content, identifies suitable panels for product placement, generates AI-modified versions with featured products, and serves different versions to different viewers without manual intervention, enabling revenue generation while managing complexity through automation
Solution Approach 2:
The system modifies specific parameters of graphic narrative elements (such as replacing objects or adding product placements) based on contextual relevance and viewer characteristics, enabling commercialization through controlled, parameter-based transformations rather than complete system redesign
Data Source
AI summary
A system and method are provided for modifying a graphic narrative to feature select products/services. Panels of the graphic narrative are segmented into elements (e.g., using semantic segmentation models like Fully Convolutional Networks), which are then identified as backgrounds, foregrounds, text bubbles, objects, characters etc. (e.g., using artificial intelligence (AI) classifiers like K-means classifiers). The identified elements are compared to a product database to select products suitable to be promoted by modifying selected elements, resulting in a version of the graphic narrative having modified panels in which the selected element(s) are changed to feature the selected products. For example, generative AI methods can redraw image elements or redraft text to place the selected products within the context of the graphic narrative. Links or watermarks can be placed in the modified panels to provide users with access to interact with or purchase the promoted products.