Photographic Print Decoration Analysis for Preference Estimation
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Solution Overview
Problem
Existing technologies struggle to accurately analyze user preferences from captured images, especially as preferences have become more specialized, making it difficult to estimate a person's preferences in fashion or goods design based on information obtained from captured images alone.
Innovation Solution
Analyze decoration information applied to photographic prints, including the frame and image regions, using a trained model to estimate user preferences, and make recommendations based on these preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If preference analysis is performed based on captured images alone, then the analysis process is simple, but the accuracy of preference estimation deteriorates due to specialized and diverse user preferences
Solution Approach 1:
The patent segments the analysis into multiple components: frame analysis (detecting frame type, color, pattern), decoration analysis (detecting stickers, drawings, writings), and image content analysis. By dividing the complex preference estimation task into these manageable segments, the system achieves higher accuracy without overwhelming complexity
Solution Approach 2:
The patent adds a new dimension to preference analysis by incorporating physical decoration elements (frames and stickers) that users attach to photographic prints. This transforms the analysis from purely digital image processing to include tangible, real-world modifications, providing richer preference signals
2Measurement precision
If multiple types of decoration information are analyzed to improve preference accuracy, then the estimation accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent introduces a trained model as an intermediary that automatically processes decoration information. The model takes frame types, colors, patterns, and decoration elements as input and directly outputs preference estimates, bridging the gap between complex decoration analysis and preference interpretation without requiring manual processing
Solution Approach 2:
The system transforms physical decoration characteristics (frame materials, sticker types, drawing styles) into standardized parameters that can be processed by the trained model. This parameterization converts diverse physical attributes into a unified format suitable for computational analysis
Data Source
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AI summary
Provided are an information processing apparatus, an information processing system, an information processing method, and a program capable of performing a highly accurate preference analysis. An information processing apparatus (10) includes a processor (12). The processor (12) acquires decoration information applied to a photographic print, and estimates a preference of a specific person based on the decoration information.