Scene-Adaptive Video Recording Icons for Easier Mode Selection
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Solution Overview
Problem
Existing video recording modes on electronic devices lack diversity and require users to manually select beautification functions, leading to a poor user experience.
Innovation Solution
An AI-driven method that recommends video recording modes based on the current scene, dynamically displaying and hiding icons of suitable modes, and allowing focal length adjustments to match user preferences, thereby enhancing user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If video recording modes are kept simple with only basic beautification functions, then device complexity is reduced, but user experience deteriorates due to lack of diversity and manual selection requirements
Solution Approach 1:
The system automatically detects the current scene type (portrait, landscape, night, etc.) and autonomously selects and recommends the most appropriate video recording mode, eliminating the need for users to manually search and select from multiple modes. The AI algorithm analyzes scene characteristics and self-determines the optimal mode configuration.
Solution Approach 2:
The system dynamically changes recording parameters (beautification strength, exposure compensation, focus settings, etc.) based on detected scene types. Different scene categories trigger different parameter configurations, allowing the same hardware to adapt its behavior to various recording conditions without requiring complex manual user input.
2Adaptability or versatility
If multiple video recording modes are provided to meet diverse user demands, then adaptability is improved, but device complexity increases and users must manually select modes
Solution Approach 1:
The AI scene detection system automatically identifies the current recording environment and selects the most suitable video mode without user intervention. The system monitors scene changes in real-time and autonomously switches between modes (portrait, landscape, night, etc.), making the complexity management automatic rather than user-driven.
Solution Approach 2:
A single unified video recording system handles multiple scene types and mode configurations through one AI-driven interface. Rather than requiring separate controls for different modes, the system provides universal adaptability across various recording conditions through intelligent scene analysis and automatic parameter adjustment.
3Ease of operation
If users must autonomously select beautification functions to achieve desired effects, then ease of operation deteriorates, but device complexity remains low
Solution Approach 1:
The system automatically detects when portrait or face-containing scenes are present and autonomously activates appropriate beautification functions. The AI analyzes the preview image, identifies face regions, and automatically applies beautification parameters without requiring users to manually search for or configure beautification settings.
Solution Approach 2:
The system continuously monitors the preview image during video recording and provides real-time feedback about detected scene elements. When faces or specific objects are detected, the system automatically adjusts beautification parameters and notifies the user, creating a closed-loop system that adapts to user needs without manual intervention.
Data Source
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AI summary
This application provides a recommendation method of a video recording mode, an electronic device, and a readable storage medium, and relates to the field of camera application technologies. In the method, when an electronic device displays a preview interface of a video recording function, the preview interface includes an AI control; when the AI control is in an enabled state, the electronic device may determine whether a recommendation condition of a video recording mode is currently met based on a preview picture acquired by a camera in real time and/or another acquisition parameter; if a recommendation condition of a first video recording mode is met, the electronic device displays an icon corresponding to the first video recording mode on the preview interface, where the icon is for interaction with a user; when a condition for canceling recommendation of the first video recording mode is met, the electronic device cancels the displaying of the icon of the first video recording mode; and when a recommendation condition of a second video recording mode is met, the electronic device displays an icon of the second video recording mode on a first preview interface. By using the method, a corresponding recording mode can be recommended to the user based on a current video recording scene of the electronic device.