Monoscopic 3D Video Rendering via Depth-Guided ROI Processing
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Solution Overview
Problem
Conventional methods fail to effectively convert monoscopic 2D video into 3D video, lacking efficient integration of depth information for enhanced video rendering.
Innovation Solution
A system and method that utilize a monoscopic video camera with image and depth sensors to capture 2D video and corresponding depth information, select regions of interest, and process them for scalable coding, interpolating depth data to match video resolution, and compose 3D video for rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional methods are used to convert 2D video to 3D video, then the conversion process is simple, but the rendering quality and realism are insufficient
Solution Approach 1:
The patent segments the video processing into distinct components: depth map generation, region of interest identification based on depth information, selective scaling operations, and 3D view synthesis. This segmentation allows each component to be optimized independently, improving overall rendering quality while managing system complexity through modular architecture
Solution Approach 2:
The patent introduces depth information as an additional dimension to the traditional 2D video processing pipeline. By incorporating the depth map as a separate data layer that guides processing operations, the system transforms 2D video into 3D video with enhanced realism without requiring complex multi-camera setups
2Reliability
If depth information is integrated for enhanced video rendering, then video realism is improved, but processing complexity and resource requirements increase
Solution Approach 1:
The patent applies local quality by identifying regions of interest based on depth information and applying selective processing only to those regions. Areas with significant depth variations or objects of interest receive enhanced processing resources, while other areas use standard processing, thereby improving realism where it matters most without uniformly increasing processing complexity across the entire video
Solution Approach 2:
The patent introduces depth maps as an intermediary data structure that mediates between the original 2D video and the final 3D output. The depth map serves as a guide for processing operations, enabling realistic 3D rendering without requiring direct complex interactions between multiple video streams or cameras
3Productivity
If regions of interest are selected based on depth information, then processing efficiency is improved, but the selection algorithm complexity increases
Solution Approach 1:
The patent changes the parameter space by incorporating depth values as an additional criterion for region selection, beyond traditional 2D spatial coordinates. By utilizing depth thresholds and depth-based segmentation parameters, the system efficiently identifies regions of interest without requiring complex machine learning algorithms, balancing processing efficiency with algorithmic simplicity
Data Source
AI summary
Image sensors and a depth sensor of a monoscopic video sensing device are utilized to capture a 2D video and corresponding depth information. Regions of interest (ROIs) for the captured 2D video are selected based on the captured corresponding depth information. The monoscopic video sensing device selectively processes the captured 2D video and the captured corresponding depth information based on the selected ROIs. A 3D video is composed from the processed 2D video for display. The captured depth information that is synchronized to the captured 2D video is stored as metadata, and may be interpolated to match video resolution of the captured 2D video. The captured 2D video and the captured corresponding depth information are enhanced through scalable video coding. With 3D video rendering, relevant image/video components of the captured 2D video are selected based on the selected ROIs to compose the 3D video together with the corresponding depth information.