Video Clip Extraction Using Music Segment Recognition
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Solution Overview
Problem
Existing video editing methods require manual interception of video clips, which is time-consuming and inefficient.
Innovation Solution
A method for automatically recognizing music segments in video data using audio frame recognition, allowing for the extraction of video clips with the same playback period as the music segments, thereby automating the video editing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual interception of video clips is used, then editing precision can be controlled, but editing efficiency is low and time-consuming
Solution Approach 1:
The system performs automatic music segment recognition and video clip extraction without requiring manual intervention. The audio data is automatically analyzed to identify music segments, and corresponding video clips are automatically extracted based on playback periods, enabling the editing system to serve itself rather than requiring human operators
Solution Approach 2:
The manual mechanical process of video editing is replaced with an automated system that uses music recognition technology and algorithmic processing. The system substitutes human manual operations with automated computational processes that analyze audio frames, identify music segments, and extract video clips programmatically
2Productivity
If automatic music recognition is implemented, then video editing efficiency is improved, but system complexity increases
Solution Approach 1:
The system processes audio data by dividing it into discrete audio frames and analyzing each frame individually to identify music segments. This segmentation approach breaks down the complex task of music recognition into manageable units, allowing systematic processing while maintaining overall system efficiency
Solution Approach 2:
The system integrates multiple functions into a unified automated editing process: music recognition, segment identification, and video clip extraction are performed in sequence by the same system, reducing the need for separate specialized tools and simplifying the overall workflow despite the advanced capabilities
3Loss of information
If music segment recognition is used, then information density of edited clips is enhanced, but measurement precision requirements increase
Solution Approach 1:
The system performs music recognition on audio data to obtain recognition results for each audio frame, using this feedback information to identify music segments and subsequently extract corresponding video clips. The recognition results guide the extraction process, ensuring that only relevant segments are selected based on accurate music identification
Data Source
AI summary
A video editing method is performed by a computer device. The method includes: performing music recognition on audio data in first video data to obtain a recognition result of each of audio frames in the audio data, the recognition result indicating whether the audio frame belongs to a music audio frame; determining a music segment in the audio data based on the recognition results of the audio frames, the music segment comprising a plurality of music audio frames; and extracting, from the first video data, a video clip with a same playback period as the music segment as second video data comprising the music segment.