Visual Search Supplement Anchors for Real-Time AR Retrieval
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Solution Overview
Problem
Existing systems fail to efficiently associate and retrieve digital supplements, such as augmented reality content, in response to visual searches based on images, lacking a systematic approach to identify and provide relevant digital content in real-time.
Innovation Solution
A system and method for generating an index of digital supplements associated with visual content, using a neural network to identify supplement anchors, and a database to store and retrieve relevant digital content in response to visual queries, enabling real-time access to network-accessible resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a systematic approach using neural networks and databases is implemented to associate and retrieve digital supplements, then the efficiency and relevance of digital content delivery is improved, but the system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: a neural network component for identifying supplement anchors in images, a database component for storing digital supplements and their associations, and a retrieval component for querying and delivering relevant content. This segmentation allows each module to specialize in a specific task, improving overall efficiency while making the complex system more manageable and maintainable
Solution Approach 2:
The system performs preliminary actions by pre-processing and storing digital supplements in the database with their associated metadata and supplement anchor information before actual retrieval occurs. The neural network is trained in advance to recognize supplement anchors, and the database is pre-populated with organized digital content, enabling fast and efficient retrieval when visual queries are submitted without requiring complex real-time processing
2Loss of time
If real-time retrieval of digital supplements is enabled through database storage, then the response time to visual queries is reduced, but the computational resources required increase
Solution Approach 1:
The system performs preliminary actions by pre-processing digital supplements and organizing them in the database with their associated metadata, supplement anchor information, and relevance indicators before actual retrieval occurs. This pre-organization enables fast query processing without requiring intensive real-time computation, thus reducing response time while minimizing computational resource usage during actual operations
Solution Approach 2:
The system creates and stores copies of digital supplements in the database with their associated metadata and supplement anchor information. These pre-stored copies can be quickly retrieved and delivered without requiring repeated processing of original content, significantly reducing response time while the computational cost is amortized over the pre-processing phase rather than each query
Data Source
AI summary
Systems and methods for identification and retrieval of content for visual search are provided. An example method includes receiving data specifying a digital supplement. The data may identify a digital supplement and a supplement anchor for associating the digital supplement with visual content. The method may also include generating a data structure instance that specifies the digital supplement and the supplement anchor and, after generating the data structure instance, enabling triggering of the digital supplement by an image based at least on storing the data structure instance in a database that includes a plurality of other data structure instances. The other data structure instances may each specify a digital supplement and one or more supplement anchors.