Automated Video Game Sound Effect Selection
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Solution Overview
Problem
The manual process of associating sound effects with objects in video game environments is extremely time-consuming, limiting the size and richness of game environments that can be developed.
Innovation Solution
A computer-implemented method that identifies objects and their properties in a video game environment through graphical representation, allowing for automated selection and application of suitable sound effects, reducing the need for manual inspection and increasing production efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual sound effect association is used, then sound design accuracy is maintained, but production time increases significantly
Solution Approach 1:
The system enables self-service by allowing the graphical representation to automatically provide object identification and property extraction without requiring manual sound designer intervention. The computer vision system processes the graphical model autonomously to extract all necessary information for sound effect selection and application.
Solution Approach 2:
The patent replaces the manual mechanical process of visual inspection and manual sound effect selection with an automated computer vision system. The system uses image processing algorithms to detect objects, identify materials, and extract geometric properties, substituting the sound designer's manual analysis with automated computational processes.
2Productivity
If manual inspection of objects is performed, then sound effect selection accuracy is maintained, but productivity decreases
Solution Approach 1:
The system substitutes manual visual inspection with automated computer vision technology that uses image processing algorithms to detect objects, identify materials through texture analysis, and extract geometric properties. This automated measurement system maintains or improves identification accuracy while dramatically increasing productivity.
Solution Approach 2:
The system changes the parameters of object detection from manual visual assessment to automated computational analysis. It extracts specific parameters such as material type, geometric shape, size, and position through algorithmic processing of graphical representations, enabling consistent and scalable property identification.
3Measurement precision
If detailed graphical representations are used, then object property identification accuracy is improved, but processing complexity increases
Solution Approach 1:
The system extracts only the necessary visual information from the graphical representation that is needed for sound effect selection. By focusing extraction algorithms on specific features such as material textures, geometric shapes, and spatial relationships, it processes detailed graphical data efficiently without requiring the entire complex representation to be manually analyzed.
Data Source
AI summary
A computer-implemented method of producing a video game environment. The method comprises receiving a representation of the video game environment, identifying a first object in the video game environment, and identifying, based on a graphical representation of the first object, one or more properties of the first object suitable for selecting a sound effect to be applied to the first object. A sound effect is applied to the first object in the video game environment based on the one or more identified properties.