AI Image Generation for Text-Based Search Queries
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Solution Overview
Problem
Existing image-based searching methods require access to a relevant image, which can be limiting in scenarios where an image is not available, and technical constraints such as limited device capabilities or poor internet connectivity can hinder the utility of image-based searches.
Innovation Solution
The technology optimizes textual inputs using a language model to generate an optimized image-model prompt, which is then used by an image model to generate a photo-realistic image. This image is used for image-based searching, allowing users to perform searches without needing to upload an image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image-based searching is used, then search result relevance is improved, but device capability requirements worsen (requires camera and network)
Solution Approach 1:
The patent introduces a cloud-based processing intermediary that receives text queries, generates corresponding images through AI models, and returns search results. This intermediary service allows devices without cameras to perform image-based searching by converting text inputs into images remotely, thereby maintaining high search relevance while reducing device capability requirements.
Solution Approach 2:
The patent replaces the mechanical requirement of a physical camera with a text input interface and cloud-based AI image generation system. Instead of requiring a device to capture images mechanically, the system uses computational models to generate images from text descriptions, eliminating the need for hardware cameras while maintaining image-based search functionality.
2Measurement precision
If image upload is required for searching, then search accuracy is improved, but ease of operation worsens (requires network connectivity)
Solution Approach 1:
The patent inverts the traditional image-based search workflow by first generating the image from text input rather than requiring the user to upload an existing image. This inversion eliminates the network upload step while maintaining image-based search accuracy, as the system generates the search image locally or through cloud API without requiring continuous network connectivity for image transmission.
Solution Approach 2:
The patent creates a synthetic copy of the search query in the form of a generated image that represents the text input. Instead of copying an existing uploaded image, the system generates a new image representation of the query text, which can then be used for search without requiring network upload of user-provided images, thereby improving ease of operation while maintaining search accuracy.
Data Source
AI summary
Image-based searching can provide enhanced search results compared to text-based searches. Techniques for generating images that can be used by search engines include generating an optimized image-model prompt using a language model from a text-based input. The optimized image-model prompt includes a more literal description of an item described by the text-based input. The optimized image-model prompt is provided to a language model that generates a photo-realistic image of the item. A search engine uses the photo-realistic image to identify and return search results.