Image Search Intent and Royalty Distribution via Blockchain
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Solution Overview
Problem
Current image search technologies fail to accurately determine user intent based on image content, leading to irrelevant search results, and existing systems for royalty distribution in musical projects lack efficient methods for tracking contributor payments and metadata management.
Innovation Solution
A computer-implemented method that identifies objects in images, determines user intent through search trends and object attributes, generates targeted search queries, and accesses blockchain-based databases for metadata, including royalty distribution information for musical projects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If generic web search is performed based on identified object, then search results are returned, but the results are irrelevant to user intent
Solution Approach 1:
The system performs preliminary analysis of the uploaded image to identify objects, their attributes, and infer user intent before executing the search query. This preliminary action includes detecting object characteristics and determining what information the user is likely seeking, which then shapes the search strategy and improves result relevance.
Solution Approach 2:
The search system dynamically adapts the search query and parameters based on the analyzed image content and inferred user intent. Rather than using a static generic search approach, the system modifies search terms, priorities, and focus areas according to the specific objects and attributes detected in the user's image, making the search process responsive and context-aware.
2Measurement precision
If blockchain-based databases are accessed for metadata, then royalty distribution accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces a specialized intermediary layer that interfaces with blockchain-based databases to manage metadata and royalty distribution information. This intermediary component handles the complexity of blockchain interactions, smart contract executions, and distributed ledger queries, thereby improving royalty accuracy while shielding the rest of the system from direct exposure to blockchain complexity.
3Measurement precision
If multiple data sources are integrated for image search, then search result relevance is improved, but information processing time increases
Solution Approach 1:
The system segments the image search process into distinct functional modules: image analysis component, intent determination component, search query generation component, and result aggregation component. Each segment processes specific aspects of the search task independently and in parallel where possible, allowing multiple data sources to be queried simultaneously while maintaining organized data flow and reducing overall processing time.
Data Source
AI summary
The present disclosure generally relates to obtaining details regarding an image based on search intent and, further, to determining royalty distributions of musical projects. In an example, a computer-implemented method includes: receiving, by a computing device, an image as part of a request to receive information regarding an object in the image, wherein the image is received via an application hosted by a user device; identifying, by the computing device, the object in the image; determining, by the computing device, a user intent based on identifying the object; executing, by the computing device, the search query, wherein the executing includes accessing one or more blockchain-based databases storing metadata; and returning, by the computing device, results to the search query, wherein the returning the results includes presenting the search results within the application and overlaid on or around the image within a user interface of the user device.