Beat Decomposition for Automatic Video Editing

Solution Overview

Problem

Conventional video editing requires manual beat matching, which is time-consuming and difficult for non-experts to perform, limiting the ability of consumers to create professional-quality multimedia content with synchronized musical and visual transitions.

Innovation Solution

A computer-implemented method and system for automatically identifying musical artifacts in a musical composition, using filtering processes such as band pass and high-pass filters to generate waveforms that analyze time points of musical transitions, enabling automated audio-video editing by matching visual content with musical selections.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual beat matching is performed by editing experts, then synchronization quality between visual and musical transitions is improved, but time consumption and operational complexity increase significantly

Engineering Contradiction:

Improvesynchronization qualityVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs automatic beat matching by analyzing audio waveforms and generating edit decision lists without requiring expert manual intervention. The computer automatically detects musical transitions, identifies corresponding video frames, and produces synchronization results, enabling the system to serve itself rather than requiring human experts for each editing task.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of beat matching by experts is replaced with an automated computational system. The system uses digital signal processing to analyze audio waveforms, detect musical transitions through filtering and energy analysis, and automatically generate edit decisions, substituting human manual operations with automated computational mechanisms.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual beat matching is performed by editing experts, then synchronization quality between visual and musical transitions is improved, but operational difficulty increases for non-experts

Engineering Contradiction:

Improvesynchronization qualityVSAvoidoperational difficulty

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs automatic beat matching by analyzing audio waveforms and generating edit decision lists without requiring expert manual intervention. The computer automatically detects musical transitions, identifies corresponding video frames, and produces synchronization results, enabling the system to serve itself rather than requiring human experts for each editing task.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of beat matching by experts is replaced with an automated computational system. The system uses digital signal processing to analyze audio waveforms, detect musical transitions through filtering and energy analysis, and automatically generate edit decisions, substituting human manual operations with automated computational mechanisms.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If automated beat matching is implemented, then productivity and accessibility to non-experts is improved, but measurement precision of musical transitions may deteriorate

Engineering Contradiction:

Improveediting efficiencyVSAvoidmusical transition detection accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The audio waveform analysis is divided into multiple frequency segments using band-pass filters (e.g., 40-170 Hz for kicks, 110-170 Hz for snares). Each frequency band is analyzed separately to detect specific musical artifacts, allowing the system to precisely identify different types of musical transitions through segmented frequency analysis rather than treating the audio spectrum as a single unit.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts analysis parameters based on detected waveform characteristics. It calculates energy levels, applies adaptive thresholding, and modifies filter settings based on the temporal and spectral properties of the input audio, enabling the automated system to adapt to varying musical styles and maintain high detection accuracy across different compositions.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS11688372B2Beat decomposition to facilitate automatic video editing

Publication Date: 2023.06.27 SOCLIP

AI summary

The disclosed technology relates to a process for detecting musical artifacts within a musical composition. The detection of musical artifacts is based on analyzing the energy and frequency of the digital signal of the musical composition. The identification of musical artifacts within a musical composition would be used in connection with audio-video editing.