Optimized Video Snapshot Audio Analysis
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Solution Overview
Problem
Video conferencing systems lack efficient methods to provide high-quality visual resources of participants, especially when network conditions are poor or when participants are not actively speaking, leading to suboptimal image representation.
Innovation Solution
An audio analysis tool is used to identify 'aesthetic phonemes' in active speakers, allowing for the selection of optimal images based on synchronized audio and video streams, focusing on full, frontal, and properly composed facial captures to generate representative snapshots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video streams are used to represent all participants, then complete visual information is provided, but network bandwidth consumption increases and user engagement decreases under poor network conditions
Solution Approach 1:
The patent extracts only the essential visual information (representative snapshots of active speakers) instead of transmitting complete video streams for all participants. This extraction approach maintains visual representation quality for relevant participants while significantly reducing network bandwidth consumption, thereby improving user engagement under poor network conditions.
Solution Approach 2:
The patent applies partial action by providing full visual information only for active speakers rather than all participants. This selective approach ensures reliable visual representation when needed (during active speaking) while reducing overall data transmission, thus balancing visual quality and user engagement.
2Productivity
If representative images are used for all participants, then network bandwidth is reduced, but visual quality and user engagement deteriorate
Solution Approach 1:
The patent applies local quality by providing high-quality visual representation selectively for active speakers rather than uniformly for all participants. This localized approach ensures that visual quality is maintained where it matters most (during active speaking moments) while achieving network efficiency through representative images for inactive participants.
Solution Approach 2:
The patent provides excessive visual information (full quality) only for active speakers rather than all participants. This partial action strategy maintains visual representation quality for relevant participants while reducing overall network bandwidth consumption, thus improving both network efficiency and visual quality.
3Measurement precision
If audio analysis is performed to identify aesthetic phonemes, then image selection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent replaces complex image analysis mechanisms with simpler audio analysis mechanisms. By using audio analysis to identify aesthetic phonemes and corresponding visual moments, the system achieves high image selection accuracy without the computational burden of analyzing video frames, thus reducing device complexity while maintaining precision.
Solution Approach 2:
The patent introduces audio analysis as an intermediary mechanism to bridge the gap between speech content and visual representation. Instead of directly analyzing video for image selection, the system uses audio phoneme analysis as a mediator to identify aesthetically pleasing moments, achieving accurate image selection with lower computational complexity.
Data Source
AI summary
Methods, media and devices for generating an optimized image snapshot from a captured sequence of persons participating in a meeting are provided. In some embodiments, methods media and devices for utilizing a captured image as a representative image of a person as a replacement of a video stream; as a representation of a person in offline archiving systems; or as a representation of a person in a system participant roster.