Mobile Photo Optimization via Test Image Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for modifying captured photos or recorded multimedia on smartphones are not user-friendly, requiring users to manually adjust settings on a computer, which is time-consuming and often beyond the capabilities of most users.
Innovation Solution
A method and system that allows users to select a test photo or multimedia, adjust it based on two sets of parameters to generate test versions, and iteratively refine preferences until stable, enabling easy and convenient optimization directly on a mobile device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predetermined configuration and settings are used for modifying photos, then the modification process is simple and automatic, but it cannot meet the specific requirements of all users
Solution Approach 1:
The system performs preliminary actions by automatically generating multiple test photos with different modifications (color adjustments, contrast changes, brightness variations) before user selection. This allows users to see various modification options in advance and select their preferred style without manually adjusting parameters, thus maintaining ease of operation while improving adaptability to individual user preferences.
Solution Approach 2:
The system implements feedback by presenting generated test photos to users for selection. User choices are fed back into the system to learn and establish their personal preferences. This feedback loop enables the system to adapt to individual user tastes over time, resolving the contradiction between automatic simplicity and personalized adaptability.
2Adaptability or versatility
If users manually adjust photo parameters using software like Photoshop, then the photo can be modified to meet specific user requirements, but it is very time consuming and requires a computer
Solution Approach 1:
The system enables self-service by automatically generating multiple test photos with different modifications based on the original photo. Users simply need to select their preferred test photo, and the system automatically applies the corresponding modifications. This eliminates the need for users to manually adjust parameters using complex software like Photoshop, significantly reducing the time required while maintaining customization capability.
Solution Approach 2:
The system creates multiple copies of the original photo with different modifications applied (color, contrast, brightness variations). Users can review these copied versions and select their preferred one, avoiding the time-consuming process of manual parameter adjustment. The selected copy's modification parameters are then applied to the final photo, achieving customization efficiently.
3Manufacturing precision
If users manually adjust photo parameters, then precise control over photo modification is achieved, but it requires professional knowledge and a computer
Solution Approach 1:
The system achieves universality by integrating multiple photo modification functions (color adjustment, contrast enhancement, brightness control) into a single automated platform accessible on mobile devices. Instead of requiring users to master multiple separate tools and parameters, the system provides comprehensive modification capabilities through a unified interface that generates test photos covering various adjustment types, thus maintaining precision while reducing device and system complexity.
Data Source
AI summary
A method for optimizing a captured photo is provided. In step (a), an original photo is provided. In step (b), the original photo is adjusted according to two sets of parameters to generate two test photos. In step (c), the two test photos are shown on a display of an electric device for selection. In step (d), a user's preference is generated accordingly. In step (e), the captured photo is adjusted according to the user's preference.