Voice-Controlled Image Processing via NLP Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face a time-consuming and cumbersome experience when processing images using software like Photoshop, requiring manual learning and input of instructions for retouch operations.
Innovation Solution
An image processing device and method that converts voice signals into image processing instructions and target areas using voice recognition, natural language processing, and image recognition technologies, allowing users to process images through voice commands without prior software knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually learn and input instructions in traditional image processing software, then precise image processing control is achieved, but user time consumption and operational complexity increase significantly
Solution Approach 1:
The patent replaces manual mechanical operations (typing instructions, navigating menus) with voice-based acoustic input. Users speak natural language commands which are converted to processing instructions through voice recognition and NLP, eliminating the need to manually navigate software interfaces or learn complex command structures.
Solution Approach 2:
The patent introduces voice recognition technology and natural language processing models as intermediaries between the user and the image processing system. These intermediaries translate spoken language into structured processing instructions, serving as a mediator that bridges natural human communication and machine-executable commands without requiring users to learn software-specific syntax.
2Productivity
If traditional manual instruction input methods are used, then precise control over image processing is achieved, but user experience and operational efficiency deteriorate
Solution Approach 1:
The system replaces complex mechanical interaction (manual navigation, menu selection, parameter adjustment) with voice-based acoustic control. This substitution maintains processing precision while dramatically simplifying the interaction model, allowing users to issue multiple processing commands through natural speech without navigating through software layers.
Solution Approach 2:
The voice command system serves multiple functions simultaneously: it captures user intent, identifies target regions, determines processing operations, and adjusts parameters—all through a single unified interface. This multi-functionality consolidates what would otherwise require separate manual operations into one cohesive voice-based control mechanism.
Data Source
Figure 1~4
Figure 5~6
Figure 7~8
AI summary
The present disclosure discloses an image processing device including: a receiving module configured to receive a voice signal and an image to be processed; a conversion module configured to convert the voice signal into an image processing instruction and a target area according to a target voice instruction conversion model, in which the target area is a processing area of the image to be processed; and a processing module configured to process the target area according to the image processing instruction and a target image processing model. The examples may realize a functionality of inputting voice to process images, which may save users' time spent in learning image processing software prior to image processing, and improve user experience.