Personalized Photographing Through Identity and Preference Tags
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Solution Overview
Problem
Intelligent terminal devices fail to provide personalized photographing effects that conform to individual user preferences due to uniform data processing, lacking the ability to account for unique user identities and photographing habits.
Innovation Solution
The system extracts user identity features and photographing preferences through a neural network model, determining a personalized photographing effect by adjusting picture quality based on a weighted association score of extracted tags, and recommending parameter settings that align with user-specific preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uniform data processing is applied to all users, then processing efficiency is improved, but personalized photographing effects cannot be provided
Solution Approach 1:
The patent segments user data into multiple dimensions including demographic information, photographing preferences, and behavior patterns. By dividing the unified user profile into distinct segments, the system can process data efficiently while generating personalized photographing effects for each segment, thus resolving the contradiction between processing efficiency and personalization capability.
Solution Approach 2:
The patent applies local quality by tailoring photographing effects to specific user segments with distinct preferences. Instead of applying a uniform processing approach, the system adjusts parameters such as beauty enhancement level, filter type, and color grading according to the specific characteristics of each user segment, enabling personalized effects without sacrificing overall processing efficiency.
2Measurement precision
If user data is collected and analyzed for personalization, then photographing effect accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-defining multiple user segments with their corresponding photographing parameters before actual photographing occurs. User profiles are established in advance based on collected data, and processing parameters are pre-configured for each segment. This allows the system to achieve high accuracy personalization without increasing operational complexity during the actual photographing process.
Solution Approach 2:
The patent utilizes parameter changes by adjusting photographing parameters such as exposure, contrast, saturation, and beauty enhancement levels according to predefined user segments. The system changes these parameters dynamically based on user identification, achieving personalized effects through parameter modulation rather than complex structural changes, thus maintaining system simplicity.
3Ease of operation
If multiple user segments are created for personalization, then user experience is improved, but data processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-segmenting users into distinct categories and pre-configuring their photographing parameters before actual use. This allows the system to quickly identify user segments and apply appropriate processing parameters without performing complex real-time analysis, thus improving user experience while minimizing data processing time during photographing operations.
Solution Approach 2:
The patent implements dynamics by creating a flexible user segmentation system that can adapt to changing user preferences while maintaining processing efficiency. The system dynamically updates user segments based on new data but uses predefined segment structures as templates, allowing quick matching of users to segments without reprocessing all data, thus balancing personalization with speed.
Data Source
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AI summary
An intelligent photographing method is provided. The method includes: First, a terminal extracts one or more first tags from common data of a user first, where the common data is used to represent an identity feature of the user. The terminal extracts one or more second tags from photographing-related data of the user, where the photographing-related data is used to represent a photographing preference of the user. Then, the terminal determines a third tag based on the one or more first tags and the one or more second tags. Finally, the terminal adjusts picture quality of a picture taken by the terminal based on a picture quality effect parameter set corresponding to the third tag. In this way, the terminal can provide a photographing effect that meets a personalized preference of the user for the user, thereby improving user experience.