AI Image Generation for Product Search Without Source Photos
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Solution Overview
Problem
Existing methods for finding products in a network require an image of the desired object to be present, limiting searches when no image is available or when images are remotely similar, resulting in suboptimal search engine results.
Innovation Solution
Generating an image representation of a desired object using an image generation program with specifications, such as DALL-E or GPT-3, and employing Artificial Intelligence for image analysis to search for identical or similar products, even if the object exists only in the user's imagination, allowing for textual or acoustic input and human-machine interface control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an image of the desired object is required for product search, then search accuracy is improved, but search capability deteriorates when no image is available
Solution Approach 1:
The system performs preliminary action by generating an image representation of the desired object before the actual product search takes place. The image generation program creates a visual representation based on textual specifications, which then serves as the input for subsequent image analysis and product search, enabling the search process to proceed even when no real image of the object exists
Solution Approach 2:
The invention introduces an intermediary element - the generated image representation - that mediates between the textual description of the desired object and the image-based search system. This intermediary allows the connection between text-based object specification and visual search capabilities, bridging the gap when direct images are unavailable
2Adaptability or versatility
If image generation programs with AI are used to create representations from textual input, then search capability is improved for objects without images, but device complexity increases
Solution Approach 1:
The system achieves universality by implementing a multi-functional architecture where the image generation program serves multiple purposes: it can generate images from textual specifications, create visual representations for search, and adapt to different types of object descriptions. This single component handles various search scenarios without requiring separate systems for different input types
Data Source
AI summary
A method for finding products in a network is provided. An image representation of a desired object is generated using specifications for an image generation program of an electronic data processing system. The image representation contains at least a part of the features of the desired object. The generated representation is subjected to an image analysis by an electronic data processing system, and a result of the image analysis is then used to search for identical or similar real products in the network. At least one identical or similar real product found by the search is displayed on a display device of an electronic data processing system of the user.