Automated Background Selection for Product Listings
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Solution Overview
Problem
Conventional listing platform systems receive and propagate digital visual content that is not optimized for conversion, relying heavily on human judgment for selecting suitable backgrounds, which limits their performance and effectiveness.
Innovation Solution
A digital medium environment that suggests background content based on compatibility scores, computed using scene and color compatibility, to automatically optimize the visual presentation of items, reducing reliance on human users and enhancing conversion rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If human users select and upload digital visual content for listings, then the system is easy to operate, but the conversion rate is not optimized
Solution Approach 1:
The system automatically analyzes uploaded images, extracts product information, generates optimized backgrounds, and creates listing content without requiring human intervention. The automated background generation system processes images through multiple modules (background removal, scene generation, text overlay) to produce conversion-optimized listings independently
Solution Approach 2:
The patent replaces the mechanical process of manual image editing and background selection with an automated computer vision and generative AI system. The system uses image processing algorithms to remove backgrounds, generate new backgrounds, and composite products automatically, substituting human creative work with computational processes
2Reliability
If the system automatically generates optimized backgrounds, then the conversion rate is improved, but the device complexity increases
Solution Approach 1:
The automated background generation system is divided into distinct functional modules: background removal module, scene generation module, text overlay module, and compositing module. Each module performs a specific task in the image processing pipeline, allowing the complex system to be managed through modular components with defined interfaces
Solution Approach 2:
The system pre-generates multiple background options and templates before final listing creation. Background images are prepared in advance with predefined layouts, text styles, and color schemes, so that when a product image is uploaded, the system can quickly composite them without extensive real-time processing
3Ease of operation
If conventional systems rely on human judgment for content selection, then the system is simple to operate, but the productivity is limited
Solution Approach 1:
The system automatically processes uploaded images through the complete workflow: background removal, scene generation, text extraction, and final compositing. This automated pipeline enables bulk processing of multiple products simultaneously, dramatically increasing listing creation speed without requiring human operators for each individual item
Solution Approach 2:
The image processing pipeline operates continuously without interruption. Once an image is uploaded, the background removal, scene generation, and compositing processes run in sequence automatically, eliminating idle time between manual operations and enabling sustained high-speed listing creation
Data Source
AI summary
Background content suggestion for combination with identified items is described. Initially, a system receives digital visual content depicting an item, e.g., a product for purchase. The system identifies various content items that are available for suggesting as replacement backgrounds for the item and then determines a compatibility of these identified content items with the item depicted in the received digital visual content. In particular, the system determines compatibility based on both a scene compatibility and a color compatibility of the identified content items with the depicted item. Based on a combination of the scene and color compatibility, the system surfaces at least one of the identified content items (e.g., a highest scoring content item) as a suggested replacement background for the depicted item.