Intelligent Filter Matching for Mobile Terminals
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Solution Overview
Problem
Users face inefficiencies in selecting filters for photographs on mobile devices, requiring manual selection and lacking intelligent human-machine interaction.
Innovation Solution
An intelligent filter matching method that collects filter factors such as geographic location, weather, and photographed object, and uses a preset mapping relationship to select and present a target filter with the highest matching degree, reducing manual selection and enhancing interaction intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual filter selection is implemented, then filter customization is achieved, but user interaction efficiency deteriorates
Solution Approach 1:
The system automatically collects photographing scenario data (geographic location, weather, photographed object, auxiliary scenario information) and autonomously determines the most appropriate filter without requiring user intervention. The terminal performs self-service by analyzing the collected data and presenting the target filter automatically, eliminating the need for manual filter selection and significantly reducing time loss.
Solution Approach 2:
The patent replaces the mechanical manual selection process with an intelligent automated system. The terminal uses data collection modules, mapping relationships, and analysis algorithms to substitute the manual filtering selection mechanism, transforming it from a user-driven mechanical process to an automated intelligent decision-making system.
2Extent of automation
If intelligent filter selection is implemented, then human-machine interaction intelligence is improved, but system complexity increases
Solution Approach 1:
The patent segments the filter determination process into distinct functional modules: a data collection module that gathers photographing scenario information, a mapping relationship module that stores correlations between filter factors and filters, and an analysis module that determines the target filter. This segmentation allows each module to perform its specific function independently, managing system complexity through modular design while achieving high automation.
Solution Approach 2:
The terminal device integrates multiple functions into a single system: it serves as both the photographing device and the filter selection system. The terminal collects data, stores mapping relationships, analyzes scenarios, and presents filters automatically, making the device multi-functional and reducing the need for separate dedicated components, thereby managing complexity while enhancing automation.
Data Source
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AI summary
The present invention provides an intelligent filter matching method and a terminal. The method includes: collecting at least one first filter factor in a first photographing scenario in which a terminal is located; selecting, according to a preset mapping relationship between a filter and a filter factor, a first filter that matches the first filter factor; and determining, according to all determined first filters in the first photographing scenario, a target filter that has a highest matching degree with the first photographing scenario, and presenting the target filter to a user. The method thereby enhances intelligent performance of human-machine interaction.