Interactive Media Creation via Natural Language Image Reconstruction
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Solution Overview
Problem
Current technologies require skilled workers and expensive equipment to create interactive media with user interaction recognition, limiting its availability to specific devices and locations, as interactive media created this way is not easily reusable or accessible for general use.
Innovation Solution
A system comprising an image reconstruction server, image ontology, and image repository, which allows users to input natural language scenarios to search and reconstruct interactive media, enabling user interaction recognition without the need for professional editing skills or expensive equipment, using modules for natural language processing and image search to generate and insert interactive functions between scenes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If skilled workers use expensive equipment and professional editing programs to create interactive media, then the quality and functionality of interactive media is improved, but the cost and complexity of creation increases
Solution Approach 1:
The system copies and reuses existing image content from an image repository to create interactive media, eliminating the need for expensive professional equipment and skilled workers. Users can select from pre-stored images and automatically generate interactive media through scenario-based authoring, significantly reducing creation complexity while maintaining quality
Solution Approach 2:
The system provides self-service capabilities where users can independently create interactive media using natural language scenario input without requiring professional editing skills. The automatic image search, selection, and interaction insertion features enable unskilled users to produce high-quality interactive media independently
2Adaptability or versatility
If interactive media is created using professional tools and equipment, then the interactive functionality is improved, but the accessibility and reusability across different devices and locations deteriorates
Solution Approach 1:
The system creates interactive media that is universally accessible across different devices and locations by using platform-independent image formats and a web-based authoring tool. The image repository stores images in a standardized format that can be retrieved and used on any device, enabling the same interactive media to function universally without device-specific constraints
Solution Approach 2:
The system introduces an image repository as an intermediary layer between image content and interactive media applications. This repository acts as a universal storage and retrieval system that decouples the image content from specific devices or platforms, allowing images to be easily reused across different contexts and devices
3Ease of operation
If natural language processing and image search modules are used to enable easy creation, then the ease of operation is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-storing images in an organized repository with metadata and tags before they are needed for interactive media creation. When users input natural language scenarios, the system can quickly search and retrieve relevant pre-indexed images, significantly reducing processing time compared to searching through unorganized image collections
Solution Approach 2:
The system optimizes processing efficiency by changing parameters such as image search criteria, matching algorithms, and retrieval strategies based on the specific scenario and user needs. The natural language processing module can adjust search parameters dynamically to balance between accuracy and processing speed, reducing overall computation time
Data Source
AI summary
A technology for allowing anyone to easily create interactive media capable of easily recognizing a user interaction by using a stored image is provided. A system according to the present invention includes an image reconstruction server, an image ontology, and an image repository. The image reconstruction server includes an image reconstruction controller, a natural language processing module, and an image search module. The image reconstruction controller of the image reconstruction server receives a scenario based on a natural language from a user and searches for images desired by the user by using the natural language processing module, the image search module, and the image repository. The natural language processing module of the image reconstruction server performs a morphological analysis and a syntax analysis on the scenario input by the user as a preliminary operation for the search of the image ontology. The image search module of the image reconstruction server automatically generates an ontology search query sentence, such as SPARQL, by using a result of natural language processing, and searches the image ontology by using the generated query sentence.