Video Data Processing System for Intelligent Clipping Based on Shooting State
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Solution Overview
Problem
Conventional video clipping methods are complex, time-consuming, and do not effectively produce high-quality video segments as they lack intelligent setting of target time periods based on shooting state information, leading to unstable and inaccurate clipping.
Innovation Solution
A video data processing method that identifies target video data, determines a target time period based on shooting state information such as motion state or object state, and clips video data segments within this period to improve stability and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual video clipping is performed using professional video processing software, then video segments can be obtained, but the operation becomes complicated and time-consuming
Solution Approach 1:
The system automatically identifies key moments and performs video clipping without requiring manual user intervention. The processor autonomously analyzes shooting state information, determines target time periods, and extracts video segments, enabling the system to serve itself rather than requiring complex manual operations.
Solution Approach 2:
The patent replaces manual mechanical operations (user clicking, dragging, and adjusting in video software) with automated electronic processing. The processor uses algorithms to analyze shooting state information and automatically determine clipping points, substituting the mechanical interaction with professional software with an automated computational system.
2Manufacturing precision
If manual video clipping is performed by adjusting clip length multiple times, then accurate video segments can be obtained, but the process costs time and effort
Solution Approach 1:
The system performs preliminary analysis of shooting state information before actual clipping occurs. By pre-identifying key moments and target time periods based on motion state and object state data, the system prepares the clipping parameters in advance, eliminating the need for multiple iterative adjustments and reducing overall processing time.
Solution Approach 2:
The system uses shooting state information as feedback to automatically determine optimal clipping points. The processor analyzes motion state information and object state information during video playback, uses this feedback to identify key moments, and automatically sets clipping parameters without requiring manual trial and error adjustments.
3Productivity
If conventional video clipping methods are used, then video segments can be extracted, but the clipping stability and accuracy are insufficient
Solution Approach 1:
The patent replaces conventional mechanical clipping methods with an automated electronic processing system that analyzes shooting state information. The processor uses computational algorithms to evaluate motion state and object state data, determining stable clipping points objectively rather than through manual judgment, thereby improving both efficiency and reliability.
Solution Approach 2:
The system autonomously performs clipping operations by self-analyzing shooting state information without external intervention. The processor automatically identifies key moments, determines target time periods, and executes clipping, enabling the system to serve itself and eliminating the instability associated with manual operations.
Data Source
AI summary
A video data processing method includes identifying target video data, determining a target time period of the target video data, clipping a video data segment within the target time period from the target video data, and obtaining clipped video data according to the video data segment. The target time period is set according to shooting state information associated with the target video data. The shooting state information includes at least one of motion state information during shooting of the target video data or state information of a target object detected during shooting of the target video data.