Personalized Past-Experience Image Processing Using Age-State Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing methods fail to realistically reproduce a user's past visual experience due to hardware constraints and lack of personalization based on psychological and physiological states, which vary with age and individual preferences.
Innovation Solution
An information processing device and method that analyze a user's current psychological and physiological states, estimate changes at a desired age, and adjust image parameters to simulate a personalized past visual experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sepia-tone conversion or monotone conversion is applied to reproduce past visual experience, then a sense of past or retro feeling is evoked, but the visual experience is not realistic because it does not reflect individual user characteristics
Solution Approach 1:
The patent applies parameter changes by adjusting multiple image processing parameters (color temperature, saturation, brightness, contrast, sharpness) based on the user's age and psychological/physiological states. Instead of using a fixed sepia-tone filter, the system dynamically modifies these parameters to reproduce the user's specific past visual experience, thereby achieving both realism and personalization.
Solution Approach 2:
The patent implements preliminary action by acquiring and storing the user's personal information (age, psychological state, physiological state) before performing image processing. This pre-acquired data is then used to determine the appropriate image processing parameters, allowing the system to personalize the visual experience reproduction without requiring real-time analysis during image processing.
2Adaptability or versatility
If physical filters (lens or the like) are used to reproduce average appearance, then a visual simulation experience is achieved, but it does not reproduce the visual experience of each individual user
Solution Approach 1:
The patent replaces the mechanical physical filter system with a digital image processing system. Instead of using physical lenses or filters to alter light, the system uses software-based image processing to modify digital images according to the user's characteristics. This substitution enables personalized processing that can be precisely controlled based on the user's age and psychological/physiological states.
Solution Approach 2:
The patent uses parameter changes to represent different visual experiences digitally. By adjusting parameters such as color temperature, saturation, brightness, contrast, and sharpness based on the user's age and states, the system reproduces individual visual experiences without requiring physical filters for each user.
3Ease of manufacture
If general human characteristic data is used for visual simulation, then average appearance is reproduced, but individual user characteristics and preferences are not reflected
Solution Approach 1:
The patent merges general human characteristic data with individual user characteristics. The system combines age-based general visual characteristics with the user's specific psychological and physiological states to create a comprehensive profile. This merged information is then used to determine the image processing parameters, achieving both simplicity and accuracy.
Solution Approach 2:
The patent implements preliminary action by collecting and storing the user's personal information (age, psychological state, physiological state) in advance. This pre-acquired data is processed to determine the appropriate image processing parameters before actual image processing occurs, simplifying the system design while maintaining high accuracy in reproducing individual visual experiences.
Data Source
AI summary
An information processing device that executes processing for processing and presenting an image is provided. The information processing device includes an analysis unit that analyzes a state of a user and estimates a changed state of the user, a setting unit that sets a parameter value for image adjustment so as to be adapted to the changed state of the user, and an adjustment unit that adjusts a parameter of a target image on the basis of the parameter value set by the setting unit. The analysis unit analyzes a state of the user at a current age and estimates a state of the user at another age, and the setting unit sets a parameter value so as to be adapted to the state of the user at the other age.


