Personalized Wallpaper Image Generation Through Automatic Selection
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Solution Overview
Problem
Existing wallpaper setting methods on electronic devices require manual user intervention, which can be tedious and inefficient, especially when users want to automatically update images based on personalized information.
Innovation Solution
A method and system for automatically generating wallpaper images by collecting personalized information, converting it into feature description information, and selecting target image files from a database to create dynamic wallpaper images that reflect the user's and device's status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual wallpaper selection is implemented, then user customization is achieved, but operation time and user effort increase
Solution Approach 1:
The system automatically collects personalized information from the electronic device (such as user preferences, usage patterns, and device characteristics), generates feature description information, and selects appropriate wallpaper images without requiring manual user intervention. This self-service mechanism resolves the contradiction by eliminating the time and effort users would otherwise spend on manual wallpaper selection while still providing customized wallpaper recommendations.
Solution Approach 2:
The system performs preliminary actions by pre-collecting personalized information and pre-generating feature description information that characterizes user preferences and device context. This preliminary processing enables the automatic selection of suitable wallpaper images, thereby resolving the contradiction by preparing necessary data in advance so that wallpaper updating can occur automatically without consuming user time during the actual selection process.
2Ease of operation
If automatic wallpaper updating is implemented, then user effort is reduced, but system complexity increases
Solution Approach 1:
The wallpaper generation system is segmented into distinct functional modules: a personalized information collection module that gathers device-specific data, a feature description information generation module that processes this data into meaningful characteristics, and a target image selection module that automatically chooses appropriate wallpapers. This segmentation resolves the contradiction by organizing system complexity into manageable, independent components that work together to achieve automatic wallpaper updating without requiring user effort.
Solution Approach 2:
The feature description information acts as an intermediary between the collected personalized information and the target wallpaper image selection. This intermediary layer processes and structures raw device data into meaningful characteristics that guide the automatic image selection process, thereby resolving the contradiction by introducing a mediating computational layer that manages system complexity while enabling automated operation.
3Manufacturing precision
If personalized information collection is implemented, then wallpaper customization accuracy improves, but information processing requirements increase
Solution Approach 1:
The system extracts only the most relevant personalized information from the electronic device that directly impacts wallpaper selection preferences, rather than processing all available device data. By selectively extracting key features and characteristics, the system achieves high wallpaper matching precision while minimizing the energy required for information processing, thus resolving the contradiction between customization accuracy and processing energy consumption.
Data Source
AI summary
A wallpaper image generation method and an electronic device are provided in this disclosure. The wallpaper image generation method includes: collecting personalized information from the electronic device; generating feature description information according to the personalized information, wherein the feature description information includes description information belonging to at least one information category; selecting, automatically, a target image file from an image file database according to the feature description information; and generating a wallpaper image according to the target image file.