Video Processing Package Scene Matching
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Solution Overview
Problem
Current video processing methods for terminal devices have low matching efficiency for video processing manners, making the process cumbersome and time-consuming for users.
Innovation Solution
A method where a terminal device automatically matches a target video processing package based on scene description information, eliminating the need for manual user selection and improving matching efficiency by obtaining multiple video processing manners simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of video processing manners is used, then user control over processing options is maintained, but operation process becomes cumbersome and time-consuming
Solution Approach 1:
The terminal device automatically performs scene recognition and matches video processing packages without user intervention. The system serves itself by analyzing the shooting scene through sensors and algorithms, then autonomously selecting and applying the most suitable processing package, eliminating the need for manual user selection.
Solution Approach 2:
Multiple video processing packages are pre-prepared and stored in the terminal device, each associated with specific scene types. The system performs preliminary classification of processing packages by scene category, so that when a scene is captured, the matching process can quickly retrieve the appropriate pre-prepared package without time-consuming user selection.
2Adaptability or versatility
If multiple video processing manners are provided for selection, then processing options are comprehensive, but matching efficiency decreases
Solution Approach 1:
Video processing packages are segmented into multiple categories based on scene types (e.g., portrait, landscape, night scene, food). Each category contains specific processing manners tailored to that scene type. This segmentation allows the system to quickly identify the relevant category and select from a focused subset of processing options rather than browsing through all available options.
Solution Approach 2:
The terminal device implements a universal scene recognition and matching mechanism that can handle multiple scene types and processing packages through a single integrated system. The scene recognition module universally identifies various scene characteristics, and the matching algorithm universally selects appropriate processing packages across different categories, maintaining high efficiency while supporting diverse processing options.
3Device complexity
If static video processing packages are used, then implementation is simple, but accuracy of matching video content decreases
Solution Approach 1:
The video processing package selection transitions from static to dynamic. The terminal device continuously monitors scene characteristics through sensors (camera, microphone, accelerometer, GPS) and dynamically adjusts the selected processing package based on real-time scene changes. This dynamic adaptation ensures the processing package accurately matches the current video content while maintaining manageable system complexity through incremental updates.
Data Source
AI summary
In a video processing method, a target video is received. Scene description information of a shooting scene in the target video is obtained. The scene description information indicates features of the shooting scene in the target video. A video processing package that corresponds to the shooting scene in the target video is obtained based on the scene description information. The video processing package is configured to add at least one content to the target video. The at least one content is added to the target video based on the video processing package.