Music Selection Device for Lighting Control Data Generation
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Solution Overview
Problem
Existing methods for generating lighting control data require individual data creation for each music piece, making it inefficient for concerts or events with multiple music pieces.
Innovation Solution
A device and method that select suitable music piece data based on transition information and characteristic sections to generate lighting control data, using a system with a transition information acquirer, characteristic section type determiner, and music piece data selector to efficiently allocate lighting control data across multiple music pieces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If lighting control data is generated individually for each music piece, then lighting synchronization with music is achieved, but the work efficiency decreases when multiple music pieces are processed
Solution Approach 1:
The patent segments the lighting control process into two parts: (1) music structure analysis which is performed individually for each music piece to ensure accuracy, and (2) lighting control data generation which is performed once on a reference music piece and then reused for other pieces with similar structures. This segmentation allows maintaining synchronization accuracy while improving efficiency through data reuse.
Solution Approach 2:
The patent creates lighting control data by copying and adapting from a reference music piece. Instead of generating lighting control data from scratch for each music piece, the system analyzes the music structure, finds a reference piece with similar characteristics, and reuses its lighting control data, making necessary adjustments based on structural differences. This copying approach dramatically improves productivity while maintaining adequate synchronization quality.
2Reliability
If dedicated lighting staff manually creates lighting control data for each music piece, then lighting effects are optimized, but the cost and time consumption increase
Solution Approach 1:
The patent implements self-service by enabling automatic music structure analysis and automatic lighting control data generation without requiring dedicated lighting staff for each music piece. The system automatically analyzes music structures, selects reference pieces, generates lighting control data, and makes necessary adjustments, freeing up lighting staff from repetitive manual work while maintaining professional-quality lighting effects.
Solution Approach 2:
The patent performs preliminary music structure analysis on all music pieces before generating lighting control data. By understanding the structure of each music piece in advance and identifying reference pieces beforehand, the system streamlines the subsequent lighting control data generation process, reducing the time and effort required during actual event preparation.
3Measurement precision
If music structure analysis is performed for every music piece, then accurate lighting control is achieved, but the processing time increases
Solution Approach 1:
The patent makes the music structure analysis results universal by using them to select reference music pieces. Once a music piece's structure is analyzed, this analysis serves multiple purposes: it enables accurate lighting control for that piece and simultaneously helps identify it as a reference for other pieces with similar structures. This multi-functionality of the analysis results reduces redundant processing and saves time.
Solution Approach 2:
The patent applies partial action by performing complete music structure analysis only on reference music pieces, while using simplified comparison methods for other pieces. Instead of conducting full-fledged structure analysis on every single music piece, the system performs detailed analysis selectively on reference pieces and uses faster matching algorithms for the remaining pieces, thereby reducing overall processing time while maintaining adequate accuracy.
Data Source
AI summary
A device for selecting a music piece for generating lighting control data is configured to select, among pieces of music piece data each containing transition information of characteristic sections that characterize a music structure, a target piece of music piece data suitable for generating the lighting control data for each of the pieces of music piece data. The music piece selecting device includes: a transition information acquirer acquiring the transition information of the characteristic sections in each piece of music piece data; a characteristic section type determiner determining respective types of the characteristic sections based on the transition information of the characteristic sections acquired by the transition information acquirer; and a music piece data selector selecting the target piece of music piece data for generating the lighting control data based on the respective types of the characteristic sections determined by the characteristic section type determiner.