3D Video Highlights from 2D Camera Footage via Cloud Rendering
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Solution Overview
Problem
Conventional 3D production techniques are time-consuming and require significant computing resources, making them inefficient for generating and displaying 3D video content.
Innovation Solution
A system that generates 3D video segments from 2D video content using 3D pose estimation and a streaming engine, reducing the need for specialized GPU equipment by performing rendering operations in the cloud, allowing real-time display on user devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional 3D production techniques are used, then 3D video content can be generated, but the process is time-consuming and requires significant computing resources
Solution Approach 1:
The system pre-generates 3D video segments from 2D video content and stores them in a database before user requests. When a user requests 3D content, the pre-generated segments are retrieved and assembled quickly, avoiding time-consuming real-time conversion. This preliminary processing resolves the contradiction by shifting the computational workload to an earlier stage when resources are available, enabling fast delivery later.
Solution Approach 2:
The patent divides video content into discrete segments and generates corresponding 3D segments independently. Each 2D video segment is converted to 3D separately, processed through pose estimation and animation generation in isolation, then combined into the final output. This segmentation allows parallel processing of multiple segments, significantly improving overall productivity while reducing the time burden on any single processing step.
2Productivity
If conventional 3D production techniques are used, then 3D video content can be generated, but a large amount of computing resources are required
Solution Approach 1:
The system creates simplified 3D representations (copies) of objects from 2D video frames using pose estimation and animated models. Instead of performing full 3D rendering from scratch for every frame, the system generates lightweight 3D segment data containing essential motion and pose information. These 3D copies can be efficiently stored, retrieved, and assembled, dramatically reducing computing resource requirements while maintaining visual fidelity.
Solution Approach 2:
The system performs computationally intensive 3D pose estimation, object tracking, and animated model generation in advance during the pre-processing phase. These resource-heavy operations are completed once during segment generation, and the results are cached for rapid retrieval during playback. This preliminary computation resolves the contradiction by front-loading resource consumption when infrastructure is available, enabling efficient low-resource operation during user viewing.
3Ease of operation
If 3D video content is generated in real-time, then interactive display is enabled, but specialized GPU equipment is required
Solution Approach 1:
The patent extracts the complex 3D rendering and graphics processing operations from the user device and relocates them to cloud-based servers. The user device only needs to retrieve pre-generated 3D video segments and display them using standard graphics capabilities. By taking out the computationally demanding rendering tasks from the client device, the system enables 3D video playback on ordinary hardware without specialized GPUs, resolving the contradiction between real-time capability and hardware complexity.
Solution Approach 2:
The system introduces a cloud-based video manager and streaming engine as intermediaries between the 2D video source and the user device. These intermediary components handle the complex transformations, pose estimation, and 3D segment generation, then deliver optimized video streams to user devices. This intermediary layer shields user devices from computational complexity, enabling broad accessibility while maintaining high-quality 3D output through centralized processing infrastructure.
Data Source
AI summary
According to an aspect, a method includes generating a three-dimensional (3D) video segment from two-dimensional (2D) video content captured by a camera system, including obtaining, from a 3D pose estimation engine, 3D movement data of an object detected in the 2D video content, and generating an animated object based on the 3D movement data such that a movement of the animated object corresponds to a movement of the object in the 2D video content. The method includes generating 3D video content from the 3D video segment and transmitting the 3D video content to a user device for display.