Natural Language Processing for Image Editing via Grammar Templates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image editing applications are complex, making it difficult for users to locate and initiate specific operations, leading to frustration due to the multitude of choices and requirement of professional skills, even for novice users.
Innovation Solution
The implementation of natural language image spatial and tonal localization techniques, where a natural language processing module parses user inputs to determine spatial and tonal localization, allowing users to specify image editing operations through natural language and gestures, simplifying the interaction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional image editing applications provide multiple operations and functionalities, then the application's versatility and capability are improved, but the device complexity and ease of operation deteriorate
Solution Approach 1:
The patent introduces a natural language processing module as an intermediary between the user and the complex image editing operations. This module translates simple natural language commands into specific editing operations, shielding users from the underlying complexity while maintaining access to diverse functionalities. The natural language interface acts as a mediator that converts user intent into actionable commands without requiring users to navigate complex menus or understand technical parameters.
2Adaptability or versatility
If conventional image editing applications provide multiple operations and functionalities, then the application's versatility and capability are improved, but the ease of operation deteriorates
Solution Approach 1:
The patent replaces the traditional mechanical interaction model (clicking through menus, selecting tools, adjusting parameters) with a natural language-based communication system. Instead of requiring users to physically navigate complex interfaces, the system processes spoken or typed commands directly, translating them into appropriate editing operations. This substitution dramatically simplifies user interaction while preserving access to comprehensive image editing capabilities.
3Manufacturing precision
If conventional image editing applications require professional skills, then the manufacturing precision and control are improved, but the ease of operation deteriorates
Solution Approach 1:
The natural language processing system enables users to perform complex editing tasks without requiring professional knowledge or skills. The system automatically interprets user intent, selects appropriate operations, and applies them correctly, effectively performing the expert work that would otherwise require trained operators. Users simply need to express what they want in natural language, and the system handles the technical complexity autonomously.
Data Source
AI summary
Natural language input processing utilizing grammar templates are described. In one or more implementations, a natural language input indicating an operation to be performed is parsed into at least one part-of-speech, a grammar template corresponding to the part-of-speech is located, an arbitrary term in the part-of-speech is detected based on the located grammar template, a term related to the arbitrary term and describing a modification for the operation is determined based on the sentence expression of the grammar template, and the indicated operation is performed with the described modification.