Music-Driven Video Effects Using Real-Time Audio Frame Analysis
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Solution Overview
Problem
Existing small video applications lack comprehensive special effects related to music creation, leading to a limited user experience, particularly for users interested in music, as they cannot create music that dynamically changes the video's visuals.
Innovation Solution
A method and apparatus that generate an audio signal in response to user touch operations, segment the signal into frames, and perform special effect processing on the video picture based on audio frame attributes, allowing users to create music that dynamically changes the video's visuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If music creation function is added to small video application, then user experience and participation are improved, but device complexity and processing requirements increase
Solution Approach 1:
The audio signal is segmented into multiple audio frames for processing. Each audio frame is analyzed independently to determine special effect parameters, which are then applied to corresponding video frames. This segmentation approach manages processing complexity by breaking down the music creation and visual effect application into discrete, manageable units.
Solution Approach 2:
The system dynamically adjusts visual effects based on real-time audio signal analysis. As users create music during video playback, the special effects parameters are continuously updated according to the audio frame attributes, creating a dynamic interaction between music creation and visual changes without requiring pre-processing of the entire audio track.
2Adaptability or versatility
If real-time audio analysis and visual effect processing are performed, then music-driven visual changes are achieved, but processing time and computational load increase
Solution Approach 1:
The system pre-processes audio frames to extract key attributes such as energy values and frequency spectrum characteristics before applying visual effects. By preparing audio frame data in advance and organizing it into structured formats, the system reduces the computational burden during the actual visual effect application phase, thereby minimizing processing time.
Solution Approach 2:
The system transforms audio signal parameters (energy values, frequency spectra) into visual effect parameters through defined mapping relationships. This parameter transformation approach allows efficient conversion from audio domain to visual domain without requiring complex real-time calculations, reducing overall processing time while maintaining the music-driven visual effect capability.
Data Source
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AI summary
The present application provides a special effect processing method and apparatus. The method includes: generating an audio signal in response to a touch operation of a user in a process of playing a video; segmenting the audio signal into multiple audio frames; performing, according to attributes of the audio frames, special effect processing on a picture which is currently played in the video. The method allows the user to create music in the process of playing the video, and the picture in the video will change with the music created by the user, which stimulates participation of a potential user who is interested in music creation and improves user experience.