Zoom-Aware Beat Markers for Precise Visual-Audio Synchronization
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Solution Overview
Problem
Existing digital visual production tools lack the ability to provide fine-grain control over individual elements, making it difficult for users to precisely align transitions to beats in music, especially for novice users or those lacking musical knowledge, and often result in undesirable video productions.
Innovation Solution
A visual production tool that automatically identifies downbeats and non-downbeats in an audio track using computational graphs and neural networks, allowing users to synchronize video transitions to any beat with improved precision and control through snap regions and adjustable zoom levels in the user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic beat identification using neural networks is implemented, then synchronization precision is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary system (beat analysis module with neural networks) that automatically identifies beats in audio tracks and provides this information to the visual production tool. This intermediary handles the complex task of musical analysis, allowing the main production tool to achieve high synchronization precision without requiring users to have musical expertise or manually analyze beats.
2Measurement precision
If fine-grain control over individual elements is provided, then synchronization precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system provides self-service by automatically performing beat analysis and synchronization without requiring users to manually identify beats or adjust complex timing parameters. The visual production tool automatically aligns visual elements with identified beats, enabling precise synchronization while maintaining ease of operation through automated processes.
Solution Approach 2:
The beat analysis module performs preliminary action by pre-identifying all beats in the audio track before the user creates visual productions. This preliminary beat detection and metadata generation simplifies the user's task, as they can directly place visual elements without needing to analyze or calculate beat positions manually.
3Device complexity
If manual beat identification is required, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The patent replaces manual mechanical beat identification with an automated computational system using neural networks and audio analysis. This substitution dramatically increases productivity by automatically processing audio tracks and identifying beats without requiring time-consuming manual analysis, while the added complexity is managed through specialized modules.
Data Source
AI summary
Systems and methods for displaying beat markers in a visual production user interface are disclosed. The method includes: displaying, on a display, the visual production user interface including a timeline region, the timeline region including: an audio timeline including a waveform representation of an audio element associated with a visual production; determining a zoom level of the timeline region at a first time; in response to determining that the zoom level of the timeline region is above a threshold zoom level at the first time, displaying downbeat and non-downbeat markers in the audio timeline, the downbeat and non-downbeat markers indicating positions of downbeats and non-downbeats respectively in the audio element; and in response to determining that the zoom level of the timeline region is below a threshold zoom level at the first time, displaying downbeat markers in the audio timeline without displaying non-downbeat markers.