Context-Aware Video Conferencing Content Embedding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video communication systems lack the ability to dynamically respond to context during video telecommunication sessions, such as identifying participants, topics of discussion, and providing relevant advertising content in a non-intrusive manner, which can enhance user experience and reduce costs for businesses.
Innovation Solution
A video-enabled communication system that includes a processor and a virtual assistant capable of sensing context through cameras and microphones, allowing for automatic actions like presenting advertising content or inviting experts to join sessions, based on face recognition, speech recognition, and content monitoring, which can offset costs through credit generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If advertising content is presented during video conferencing sessions, then user experience and engagement are improved, but users may perceive intrusion or distraction
Solution Approach 1:
The system presents advertising content in a dedicated portion or region of the video conferencing interface, rather than overlaying it across the entire display. This localized presentation allows users to focus on the main conferencing content while still accessing advertising content in a designated area, reducing distraction while maintaining engagement.
Solution Approach 2:
The system presents advertising content during idle periods or transitions in the video conferencing session, such as during screen sharing transitions, when no participant is actively speaking, or between meeting segments. This periodic timing ensures advertising is delivered without interrupting the flow of active discussion, reducing perceived intrusion.
2Productivity
If context sensing and automatic actions are implemented, then productivity and relevance are improved, but system complexity increases
Solution Approach 1:
The video conferencing system integrates multiple functions including context sensing through cameras and microphones, speech recognition, face recognition, automatic content presentation, and credit generation within a single unified platform. This multi-functionality allows the system to perform productivity-enhancing tasks without requiring separate standalone tools, managing complexity through integration.
Solution Approach 2:
The system automatically senses context during video conferencing sessions and autonomously determines when and what advertising content to present without requiring manual user configuration or intervention. This self-service capability reduces the operational complexity for users while maintaining high productivity through automated relevant content delivery.
3Measurement precision
If face recognition and speech recognition are used to identify participants and topics, then targeted content delivery is improved, but privacy concerns increase
Solution Approach 1:
The system extracts only the necessary contextual information (participant identity and topic) from the video conferencing session to enable targeted advertising content delivery, while not retaining or storing comprehensive personal data. This extraction approach allows precise content targeting while minimizing privacy intrusion by collecting only the minimum necessary information.
Solution Approach 2:
The system uses real-time feedback from speech recognition and face recognition during video conferencing to dynamically adjust and personalize advertising content presentation. This feedback mechanism enables accurate topic and participant identification for relevant content delivery while processing data in-real-time rather than storing it, reducing privacy concerns through ephemeral data handling.
Data Source
AI summary
A video- and/or audio-enabled communication system includes a processor, coupled with a camera, the camera acquiring an image of an object of interest during a video communication session involving multiple participants and a computer readable medium comprising instructions that cause the processor to perform automatically an action in response to and related to a sensed context during the video communication session. The action can be one or more of retrieve or provide content of interest to one or more of the participants, join a third party to the video communication session, recommend that a further action be performed by the processor, and schedule an activity involving one or more of the participants.