Body-Driven 3D Layered Image Navigation for Live Video Effects
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Solution Overview
Problem
Existing methods for creating three-dimensional (3D) visual effects during live presentations are challenging due to the difficulty in navigating 3D content using traditional input modalities like keyboards and mice, and require complex post-production pipelines that cannot be applied to live video streams.
Innovation Solution
A system that enables body-driven interactions with 3D layered graphics, using a video capture module to receive a video stream, apply machine learning to identify gestures, and perform transform operations on 3D layered images to navigate and render them in real-time, allowing content creators to control 3D visual effects during live video production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input modalities (keyboard and mouse) are used to navigate 3D content, then the navigation can be performed, but the ease of operation deteriorates due to difficulty in navigating 3D content
Solution Approach 1:
The patent replaces traditional mechanical input devices (keyboard and mouse) with body tracking technology that captures the content creator's physical gestures and movements. This substitution enables more intuitive navigation of 3D content by mapping natural body movements directly to camera controls and scene manipulation, significantly improving ease of operation while maintaining manageable system complexity through specialized video editing software
Solution Approach 2:
The patent introduces body tracking technology as an intermediary between the content creator and the 3D content. This intermediary captures body movements and translates them into appropriate navigation commands, serving as a mediator that bridges the gap between natural human interaction and complex 3D scene control, thereby improving ease of operation
2Ease of operation
If body tracking and voice recognition technologies are used to trigger visual effects, then the ease of operation improves, but the device complexity increases due to requiring specialized video editing software
Solution Approach 1:
The patent implements a multi-functional system where the video editing software integrates body tracking, voice recognition, and 3D scene manipulation capabilities into a single unified platform. This allows the same software to handle multiple functions (gesture recognition, voice commands, visual effects triggering, and 3D rendering) without requiring separate specialized tools, thereby improving ease of operation while managing device complexity through consolidation
3Manufacturing precision
If 3D production pipeline is used to composite actor into scene, then the visual quality is improved, but the productivity deteriorates as it is limited to post-production
Solution Approach 1:
The patent applies preliminary action by pre-configuring the 3D production pipeline with all necessary rendering and compositing capabilities before the live presentation begins. The system prepares the computational framework, scene graphs, and rendering engines in advance, enabling real-time manipulation of 3D content during the live broadcast without requiring post-production processing, thus maintaining high visual quality while improving productivity
4Manufacturing precision
If complex post-production pipeline is used to create visual effects, then the manufacturing precision improves, but the loss of time increases as it cannot be applied to live video streams
Solution Approach 1:
The patent implements dynamics by enabling the 3D production pipeline to operate in real-time during live presentations rather than statically in post-production. The system dynamically adjusts rendering parameters, compositing operations, and scene transformations as the presentation progresses, allowing visual effects to be created and manipulated live without the time loss associated with post-production processing while maintaining manufacturing precision through optimized real-time rendering
Data Source
AI summary
Methods and systems disclosed herein relate generally to body-driven interactions with three-dimensional (3D) layered graphics. The system includes a video capture module that can receive a video stream. The video stream may depict a subject and a 3D layered image, in which the 3D layered image has an associated viewpoint. The system may also include a video processing module that can identify one or more actions performed by the subject. The video processing module can determine a transform operation to be applied to the viewpoint. The transform operation may include at least one of changing the zoom level of the viewpoint, moving the location of the viewpoint, and changing the direction of the viewpoint. The video processing module may apply the transform operation to the 3D layered image and then render the transformed 3D layered image on the video stream.