Gesture-Controlled Video Overlay for Web Conferencing
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Solution Overview
Problem
Current web-conferencing solutions face challenges in effectively utilizing traditional presentation tools like projectors and whiteboards during virtual meetings, limiting the engagement and interaction of participants.
Innovation Solution
A real-time video enhancement machine that detects gestures to enhance video feeds by incorporating, manipulating, and removing content items within the presentation, allowing for interactive and dynamic presentations, and enables real-time surveys by aggregating participant responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional presentation tools like projectors or whiteboards are used during web-based presentations, then presentation functionality is provided, but participant engagement and interaction are limited
Solution Approach 1:
The patent creates virtual copies of traditional presentation tools (projector, whiteboard) within the video conferencing environment. These virtual tools are rendered as video overlays that participants can interact with through gesture recognition, replicating the functionality of physical tools while enabling digital interaction and engagement tracking.
Solution Approach 2:
The system introduces gesture recognition technology as an intermediary between participants and presentation content. Hand gestures serve as the mediating mechanism that enables natural interaction with virtual presentation tools, bridging the gap between traditional presentation methods and modern digital collaboration needs.
2Loss of information
If multiple video streams are presented simultaneously, then comprehensive presentation content is provided, but computing power and resources are consumed
Solution Approach 1:
The patent segments video processing by applying different enhancement techniques to different regions of the video feed. Gesture detection and content item rendering are applied selectively to specific video streams and time periods rather than processing all video data uniformly, reducing overall computational load while maintaining presentation completeness.
Solution Approach 2:
The system applies video enhancement partially by focusing computational resources on detecting and responding to specific gestures rather than continuously processing all video frames at full resolution. Enhancement is applied only when and where needed based on detected user actions.
3Extent of automation
If gesture detection is implemented in real-time video feeds, then interactive presentation control is enabled, but processing complexity increases
Solution Approach 1:
The system implements self-service by automatically detecting gestures and translating them into presentation control actions without requiring manual intervention. The video processing system autonomously identifies hand gestures, determines intent, and executes appropriate commands (e.g., advancing slides, highlighting content) based on detected gestures.
Solution Approach 2:
The patent replaces mechanical control interfaces (buttons, keyboards, clickers) with gesture-based control. This substitution eliminates the need for physical interaction devices and integrates control directly into the natural communication flow, reducing the complexity of control mechanisms while enhancing automation.
Data Source
AI summary
A system is configured to enhance a video feed in real time. A live video feed captured by a video capturing device is received. A presentation of the live video feed on one or more client devices is enhanced. The enhancing includes causing a first content item of a plurality of content items to be displayed at a first location within the presentation of the five video feed. Based on a detecting of a first instance of a first gesture made by a hand at the first location in the live video feed, a content item manipulation mode with respect to the first content item is entered. The entering of the content item manipulation mode with respect to the first content includes at least one of causing the first content item to be moved within the presentation of the live video feed based on a movement of the hand or causing a scale of the first content item to be changed within the presentation of the live video feed based on a detecting of a second gesture made by the hand.