Imaging System User Preference Analysis
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Solution Overview
Problem
Existing imaging systems fail to effectively analyze and assist in capturing images that align with user preferences for each scene, as they lack sufficient methods to determine image favorability and often rely on incomplete or unknowingly analyzed user preferences.
Innovation Solution
An imaging system that includes a processor to analyze images, recognize scenes, acquire reproduction information, and create a preference parameter table associating scenes with imaging information to select optimal settings for capturing images that align with user preferences, using reproduction time and frequency to determine preferred images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user preference analysis is performed using traditional rating methods, then some image preference information can be obtained, but the analysis is insufficient and cannot capture unknowingly analyzed user preferences
Solution Approach 1:
The system uses reproduction information (number of reproductions and reproduction time) as feedback to automatically analyze user preferences. This feedback mechanism captures actual user behavior rather than relying on explicit user input, thereby reducing information loss and improving measurement precision of preference analysis.
Solution Approach 2:
The system performs self-service by automatically analyzing user preferences through reproduction behavior data without requiring explicit user input. The imaging device itself collects and analyzes its own usage data to determine preferred imaging information, eliminating the need for external rating systems and capturing subconscious user preferences.
2Adaptability or versatility
If imaging information is selected from a large number of scenes, then comprehensive coverage is achieved, but it becomes difficult to clearly grasp high-quality images for the user
Solution Approach 1:
The system extracts only the essential reproduction information (number of reproductions and reproduction time) from the vast amount of image data. By taking out these key metrics, the system can effectively identify high-quality images across diverse scenes without being overwhelmed by the sheer volume of data, thus maintaining both versatility and information clarity.
Solution Approach 2:
The system changes the parameters used for image evaluation from subjective quality assessment to objective reproduction behavior metrics. By using reproduction count and reproduction time as parameters, the system can clearly identify high-quality images across various scenes, resolving the difficulty of grasping preferred images in diverse imaging conditions.
3Productivity
If automatic selection of imaging information is implemented, then capturing efficiency is improved, but the system complexity increases due to preference analysis requirements
Solution Approach 1:
The imaging device performs self-service by automatically analyzing its own reproduction behavior data to determine user preferences. This self-analyzing capability enables automatic selection of imaging information without requiring complex external analysis systems, thereby improving productivity while controlling device complexity through internal resource utilization.
Data Source
AI summary
An image is analyzed, a scene of the image is recognized, imaging information regarding capturing in a case where the image is captured is acquired, and reproduction information in a case where the image is reproduced on a display is acquired. An image coincident with preference of a user of the imaging device from among images having the same scene is decided for each scene based on the reproduction information, and a preference parameter table in which the scene and imaging information of the imaging device in a case where the image coincident with the preference of the user is captured are stored in association with each other is created. Imaging information associated with a scene coincident with a scene of an image to be captured next by the user is selected from the preference parameter table, and an image is captured by using the imaging information.