Video Element Processing for Automated Trim Boundary Detection
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Solution Overview
Problem
Manual video trimming is time-consuming and challenging, especially when dealing with numerous video content items, as accurately identifying start and end times for trimmed clips can be difficult, and ensuring smooth transitions and proper pacing requires repeated review and adjustments.
Innovation Solution
A machine learning model is trained to analyze video content and identify trim parameters, such as start and end timings, to automatically generate trimmed video clips, using a system that includes a label generation and trim generation system to analyze video and audio components, generate captions and transcripts, and determine relevant frames for inclusion in the trimmed clip.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual video trimming is performed to ensure accurate identification of start and end times and smooth transitions, then trimming quality is improved, but time consumption and operational effort increase significantly
Solution Approach 1:
The system enables automatic video trimming by having the computer application independently analyze video content, identify meaningful segments, and perform trimming operations without requiring continuous human intervention. The application uses automated content analysis to determine optimal trim points based on scene changes, audio patterns, and metadata, thereby resolving the contradiction between trimming accuracy and time consumption.
Solution Approach 2:
The patent replaces the manual mechanical process of video trimming with an automated computational system. Instead of manually reviewing and cutting video footage, the system uses content analysis algorithms, scene detection, and automated editing functions to identify and execute trim operations, significantly reducing time consumption while maintaining or improving trimming accuracy.
2Manufacturing precision
If manual review and adjustments are performed to ensure smooth transitions and proper pacing, then transition quality is improved, but operational complexity increases
Solution Approach 1:
The system automatically analyzes video content to identify scene boundaries, detect audio-visual synchronization points, and determine optimal transition locations. The computer application independently performs pacing adjustments and transition smoothing without requiring manual operational complexity, thereby maintaining transition quality while reducing operational burden.
Solution Approach 2:
The system incorporates automated feedback mechanisms where the computer application analyzes the results of trim operations and makes real-time adjustments to ensure smooth transitions and proper pacing. The system evaluates transition quality metrics and automatically refines trim parameters, eliminating the need for complex manual review processes.
3Productivity
If automated trimming is implemented to reduce time consumption, then productivity is improved, but trimming precision may deteriorate
Solution Approach 1:
The patent replaces manual trimming operations with an automated computer-based system that uses content analysis algorithms, scene detection, and metadata processing to identify trim points. This substitution maintains high productivity while ensuring trimming accuracy through automated analysis of video content characteristics, audio patterns, and structural elements.
Solution Approach 2:
The computer application independently performs content analysis to determine optimal trim locations based on scene changes, audio cues, and video metadata. The system self-corrects and refines trim decisions using automated evaluation criteria, thereby maintaining trimming precision while achieving high processing speeds through automation.
Data Source
AI summary
Described herein is a computer implemented method for automatically generating a trimmed video clip from a video content item. The method includes: receiving a trim request from a user device, the trim request including the video content item; determining trim parameters for the trimmed video clip, the trim parameters including a trim start time and a trim end time; generating the trimmed video clip based on the trim parameters; and causing display of the trimmed video clip on the user device.