Inter-view prediction areas in multi-camera 360-degree imaging
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Solution Overview
Problem
Current multiview video coding systems are inefficient in encoding and transmitting 360-degree content due to high redundancy and data intensity, particularly in applications like Head Mounted Displays and virtual reality, where current broadcasting infrastructure struggles to handle the large data requirements in real-time.
Innovation Solution
A Multiview camera device with multiple cameras captures a 360-degree view, using a controller and memory to determine areas for inter-view prediction, enabling efficient data compression by utilizing the overlap between camera views, thereby reducing the bitrate required for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If inter-view prediction is enabled over the entire image, then data compression is improved, but image quality deteriorates in non-overlapping areas
Solution Approach 1:
The patent applies local quality by enabling inter-view prediction only in specific overlapping areas between adjacent camera views rather than uniformly across the entire image. The system determines overlap regions based on camera positioning and field-of-view characteristics, then selectively applies prediction algorithms only where redundancy exists, preserving image quality in non-overlapping areas while achieving compression in overlapping regions.
2Adaptability or versatility
If multiple cameras are used to capture 360-degree content, then viewing coverage is improved, but data transmission requirements worsen
Solution Approach 1:
The patent merges adjacent camera views in overlapping areas by using inter-view prediction to combine information from multiple cameras. Instead of transmitting separate full-resolution images from each camera, the system uses one view as a reference and predicts the other view in overlapping regions, significantly reducing the total data volume while maintaining 360-degree viewing coverage.
3Loss of substance
If inter-view prediction is applied in non-overlapping areas, then compression is improved, but prediction accuracy worsens
Solution Approach 1:
The patent applies partial action by limiting inter-view prediction to only the overlapping areas between camera views. The system identifies boundary regions where overlap exists and applies prediction algorithms only within those boundaries, avoiding application in non-overlapping areas where it would reduce accuracy. This selective approach ensures compression is achieved where beneficial without compromising prediction accuracy.
Data Source
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AI summary
An apparatus comprising a multi-camera device including at least two cameras and a controller for receiving image data from the cameras, determining which areas of the images to enable for inter-view prediction, wherein the determination is based on imaging characteristics of the cameras and relative locations and orientations of the cameras within the multi-camera device, and enabling inter-view prediction for the determined areas of the images.