Natural Language Image Operations in Effect Creation Tools
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Solution Overview
Problem
Existing game engine-based tools require users to locate and import images manually, which can be cumbersome and require additional knowledge or artistic skills, limiting user experience.
Innovation Solution
Implementing a computer-implemented method using natural language processing to receive image-related requests, query a model for image results, and import those results directly into the effect creation tool, simplifying the image operation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual image import and editing methods are used in game engine-based tools, then users can obtain and modify images, but the process becomes cumbersome and requires additional knowledge or artistic skills
Solution Approach 1:
The patent introduces an AI model as an intermediary between the user and the image processing system. Users provide natural language descriptions of desired images, and the AI model automatically generates or retrieves appropriate images, eliminating the need for users to manually search, import, or edit images using complex tools
Solution Approach 2:
The system enables self-service by allowing the AI model to autonomously understand user requirements through natural language and automatically perform image generation, retrieval, or modification tasks without requiring user intervention in the technical image processing steps
2Adaptability or versatility
If users manually locate and import images using existing tools, then images can be obtained for video creation, but users are limited to supported image formats and require external image editing software
Solution Approach 1:
The patent replaces the mechanical system of manual image file selection, format conversion, and external software dependency with an AI-based system that processes natural language requests and automatically handles image generation or retrieval, supporting diverse image types without format limitations
Solution Approach 2:
The AI model provides universal image handling capabilities, able to generate or retrieve various types of images (photographs, illustrations, graphics, etc.) in response to natural language requests, eliminating the need for multiple specialized tools or format-specific workflows
3Ease of manufacture
If traditional image editing workflows are used, then images can be modified, but users require artistic ability and knowledge of image editing software outside the game engine tool
Solution Approach 1:
The AI model serves as an intermediary that translates user-friendly natural language descriptions into complex image generation or modification operations, allowing users without artistic training to create or modify images by simply describing what they want
Solution Approach 2:
The system changes the input parameter format from requiring artistic knowledge and technical skill to accepting simple natural language descriptions, fundamentally altering how users interact with the image creation process while maintaining or enhancing output quality
Data Source
AI summary
Described are examples for image operations in an effect creation tool, including receiving, via a user interface provided for the effect creation tool, a natural language string requesting an operation related to obtaining or modifying an image, providing, to a model, an input including at least a portion of the natural language string, receiving, from the model, an image result output based on the input, and importing the image result as an asset in the effect creation tool.