Sound Pattern-Based Visual Effect Selection for Video Chat
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video communication technologies lack the ability to dynamically customize shared images based on detected sound patterns, such as speech and music, limiting user engagement and personalization.
Innovation Solution
A computer-implemented method that receives sound signals from a microphone, detects sound patterns, and selects visual effects from a library to present as selectable options in a user interface, allowing users to apply these effects to images captured by a camera during video chat or social media sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If visual effects are manually selected by users, then user control over customization is maintained, but user engagement and personalization are limited
Solution Approach 1:
The system automatically detects sound patterns and selects appropriate visual effects without requiring manual user input. The computing device performs sound analysis and effect selection autonomously, allowing the system to serve itself in the customization process while still presenting options to the user for final approval.
Solution Approach 2:
The system continuously monitors sound signals and provides real-time feedback by suggesting visual effects that match the detected sound patterns. This creates a dynamic loop where sound detection informs visual effect selection, which can then be applied to enhance the user experience based on the current audio environment.
2Adaptability or versatility
If sound pattern detection is implemented, then dynamic customization based on audio is enabled, but device complexity increases
Solution Approach 1:
The patent replaces manual mechanical selection processes with automated acoustic field-based detection. Instead of users manually browsing and selecting effects, the system uses sound signal analysis to automatically determine appropriate visual effects, substituting human interaction with acoustic-based automated decision-making.
Solution Approach 2:
The computing device leverages its existing microphone and processing capabilities for multiple functions: primary communication/audio capture, and secondary sound pattern analysis for visual effect selection. This multi-functional use of existing components avoids adding dedicated hardware while enabling dynamic customization.
3Productivity
If automatic visual effect selection is implemented, then user engagement increases, but loss of manual control occurs
Solution Approach 1:
The system dynamically adjusts between automatic suggestion and user confirmation modes. Visual effects are automatically selected based on sound patterns, but the user retains the ability to review, approve, or modify the selections. This dynamic interaction balance maintains user engagement through automation while preserving manual control when needed.
Data Source
AI summary
Disclosed embodiments provide techniques for suggesting a visual effect based on detected sounds. The sounds can be speech and/or music. Tempo and song identification techniques may be used to determine criteria for selecting visual effects to present to a user. The user selects a visual effect from the suggested visual effects and applies the visual effect to an image acquired by a camera. A modified image that combines the original acquired image with the visual effect is transmitted to another user during communication such as video chat, or, alternatively, the modified image may be posted to a social media account.