Trail Renderer for Audio-Reactive Motion Visualization
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Solution Overview
Problem
Current audio visualization techniques do not effectively integrate video data with audio data, limiting the enhancement of user experience through synchronized visualizations.
Innovation Solution
A method and system for rendering motion-audio visualizations by obtaining video and audio data, determining the frequency spectrum of the audio, and applying audio visualizations to video frames based on the target object's position, using particle emitters and visualization templates to create real-time, audio-reactive visuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio visualization is applied to music to generate animated graphics, then visual effects are synchronized with audio changes, but video data that may be combined with audio data is not considered
Solution Approach 1:
The patent combines audio data and video data into a unified visualization system. The audio processing module and video processing module work together to generate composite visualizations that incorporate both audio frequency spectrum information and video frame data, creating a merged multimedia visualization experience rather than separate audio and video processing streams.
Solution Approach 2:
The visualization system is designed to handle multiple data types (audio and video) simultaneously through a universal rendering architecture. The trail renderer can process audio frequency data, video frame data, and target object position data through a single unified pipeline, making the system multi-functional rather than dedicated to a single data source.
2Speed
If real-time audio visualizations are generated and rendered, then graphics are synchronized with music playback, but the complexity of processing both audio and video data increases
Solution Approach 1:
The system segments the visualization processing into distinct functional modules: an audio processing module that handles frequency spectrum analysis, a video processing module that extracts target object positions from video frames, and a trail renderer that combines both data streams. This segmentation allows each module to specialize in specific tasks, reducing overall system complexity while maintaining real-time performance.
Solution Approach 2:
The patent introduces intermediate data structures and processing stages that mediate between raw audio/video inputs and final visualizations. Audio data passes through frequency spectrum analysis to create intermediate audio features, while video data undergoes target detection to create intermediate position data. These intermediates are then combined by the trail renderer, simplifying the integration process.
3Adaptability or versatility
If audio visualizations are applied to video frames based on target object position, then immersive audio-reactive visuals are created, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of audio and video data separately before combining them. Audio frequency spectrum analysis and video target object detection are conducted as pre-processing steps that prepare data in advance for the final visualization rendering stage. This preliminary action reduces the computational burden during real-time rendering.
Solution Approach 2:
The patent applies audio visualizations specifically at the position of target objects detected in video frames, rather than uniformly across the entire frame. This localized approach concentrates computational resources on regions of interest, reducing overall processing time while maintaining high visualization quality at critical locations.
Data Source
AI summary
Systems and methods for rendering motion-audio visualizations to a display are described. More specifically, video data and audio data is obtained. A position of a target object in each of one or more video frames of the video data is determined. Additionally, a video data comprising one or more video frames is determined. Audio visualizations for the predetermined time period are determined based on the frequency spectrum. A rendered video is generated by applying the audio visualizations at the position of the target object in the one or more video frames for the predetermined time period.