Audiovisual Coordination for Distributed Performers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile device platforms and media application environments face challenges in capturing and coordinating audiovisual performances, particularly in real-time sound synthesis and processing, due to computational resource and bandwidth limitations, which hinders the delivery of advanced digital acoustic experiences.
Innovation Solution
The method involves capturing vocal performances with synchronized video on mobile devices, using computationally-defined audio features to dynamically vary the visual prominence of performers, and pitch-correcting vocals in real-time, allowing for the mixing and sharing of audiovisual content across geographically distributed users, facilitated by a content server that manages and mediates these interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time audio processing and pitch correction are implemented on mobile devices, then audio quality and user experience are improved, but computational resource consumption increases
Solution Approach 1:
The system divides audio processing tasks between mobile devices (local pitch correction and basic processing) and remote servers (complex coordination and mixing). This segmentation allows high-quality audio processing while distributing computational load to reduce energy consumption on mobile devices.
Solution Approach 2:
A content server acts as an intermediary that receives audiovisual content from multiple performers, performs complex coordination and mixing operations, then distributes the processed content back to performers. This mediator handles the most computationally intensive tasks remotely, preserving audio quality while reducing local device burden.
2Adaptability or versatility
If audiovisual content from multiple geographically distributed performers is coordinated and mixed in real-time, then collaboration and user experience are enhanced, but network bandwidth consumption increases
Solution Approach 1:
The system extracts only the essential audiovisual data from each performer's stream for coordination and mixing, rather than transmitting complete high-fidelity streams continuously. This extraction approach enables multi-performer collaboration while reducing the bandwidth required for real-time communication.
Solution Approach 2:
The system uses periodic updates and synchronized timing signals to coordinate multiple performers rather than continuous real-time streaming. Audiovisual content is captured locally and synchronized periodically, reducing network bandwidth consumption while maintaining collaboration capability.
3Illumination intensity
If dynamic visual prominence selection based on audio features is implemented, then visual engagement and user experience are improved, but processing complexity increases
Solution Approach 1:
The system pre-computes audio features and determines visual prominence selections in advance during the audio processing stage, rather than making complex visual decisions in real-time during performance. This preliminary action reduces processing complexity during the actual performance while maintaining visual engagement.
Data Source
AI summary
Audiovisual performances, including vocal music, are captured and coordinated with those of other users in ways that create compelling user experiences. In some cases, the vocal performances of individual users are captured (together with performance synchronized video) on mobile devices, television-type display and/or set-top box equipment in the context of karaoke-style presentations of lyrics in correspondence with audible renderings of a backing track. Contributions of multiple vocalists are coordinated and mixed in a manner that selects for visually prominent presentation performance synchronized video of one or more of the contributors. Prominence of particular performance synchronized video may be based, at least in part, on computationally-defined audio features extracted from (or computed over) captured vocal audio. Over the course of a coordinated audiovisual performance timeline, these computationally-defined audio features are selective for performance synchronized video of one or more of the contributing vocalists.