Embedding Search Query Metadata in Image Files
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Solution Overview
Problem
Current internet search methods do not effectively allow users to save and retrieve images with associated search query metadata, leading to disorganization and loss of context for stored images.
Innovation Solution
A method that generates metadata based on a search query and associates it with selected images for storage, enabling users to recall and organize images using the original search query for accurate retrieval and subsequent searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If images are saved with default or user-defined filenames without metadata, then file storage is simple, but image retrieval and organization become difficult and context is lost
Solution Approach 1:
The patent embeds search query metadata directly within the image file structure as nested data. The metadata is stored inside the image file format itself (e.g., as embedded tags or data fields within the image container), allowing the image to contain its own contextual information without requiring separate external storage mechanisms. This resolves the contradiction by maintaining simple file storage while preserving search context through internal nesting.
Solution Approach 2:
The patent creates a copy of the search query metadata and stores it alongside or within the image file. Instead of relying on external browser history or separate databases, the search context is copied and embedded with the image, ensuring that the retrieval information travels with the image file regardless of where it is stored or how the original search history is managed.
2Quantity of substance
If browser cache or search service history is cleared, then storage space is freed, but users lose track of where images are stored and their origins
Solution Approach 1:
The image file becomes self-sufficient by containing its own metadata information directly within its structure. The file carries its own contextual data about the search query and origin without requiring external systems (browser cache, search service history) to maintain this information. This allows users to clear external caches freely while the images retain their contextual information independently.
Solution Approach 2:
The search query metadata is embedded with the image file at the moment of saving, before any potential clearing of browser cache or search history occurs. This preliminary embedding ensures that the contextual information is already captured and stored with the image, making it immune to subsequent clearing of external storage mechanisms.
3Ease of operation
If each saved image file is independent without associated metadata, then file management is straightforward, but users cannot perform accurate retrieval or subsequent searches based on original search context
Solution Approach 1:
The image file structure is enhanced to serve multiple functions simultaneously: it stores the visual content, the search query metadata, and organizational information all in one unified container. This multi-functional approach allows the file to be managed simply as a single unit while providing rich retrieval capabilities, resolving the contradiction between ease of management and retrieval efficiency.
Solution Approach 2:
The embedded metadata acts as an intermediary layer between the image content and the user's retrieval needs. This intermediate data structure provides the connection between the saved image and the original search context, enabling efficient retrieval and subsequent searches without complicating the fundamental file management operation.
Data Source
AI summary
A computer implemented method and apparatus for saving a search query as metadata with an image, comprising receiving image search results from an image search string query, receiving one or more image files from the image search results as one or more selected image files for storage, generating metadata based on the image search string query, associating the metadata with the one or more selected image files, and storing the one or more selected image files with the metadata.