VR Content Delivery via Moving Route Prediction
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Solution Overview
Problem
Current VR image delivery systems require significant data and network resources as they need to prepare and deliver images at all viewpoints in real time, leading to high network load and delayed content delivery.
Innovation Solution
A system and method that predicts a user's moving route and viewpoint, producing and delivering images only at the user's final position and future time point, considering network delay time, thereby reducing data amount and network load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If images are prepared at all viewpoints for VR content delivery, then complete virtual reality experience is provided, but data amount and network load increase significantly
Solution Approach 1:
The system performs preliminary prediction of the user's final position at a future time point based on current position and viewport information. Content is prepared in advance at the predicted location, eliminating the need to prepare images at all possible viewpoints. This preliminary action reduces data transmission requirements while maintaining VR experience quality.
Solution Approach 2:
The system uses the user's own viewport information and movement patterns to predict their future position, allowing the content delivery system to self-adapt and prepare content proactively without requiring external control or pre-defined viewpoint coverage.
2Reliability
If images are prepared at all viewpoints, then comprehensive VR content is available, but network delivery time and latency increase
Solution Approach 1:
By predicting the user's final position at a future time point and preparing content there in advance, the system eliminates network transmission delays. The content is already positioned where the user will be, ensuring immediate availability without the latency associated with transmitting large amounts of VR data over the network.
3Ease of operation
If VR content is delivered based on current position only, then simple delivery logic is used, but content is not provided in real time at actively changing user positions
Solution Approach 1:
The system dynamically adapts content delivery by using the user's current viewport information to predict their future position. This dynamic approach allows the system to proactively prepare content at the predicted location, ensuring real-time content availability as the user moves, while maintaining relatively simple delivery logic based on predictive modeling.
Data Source
AI summary
A system and method for delivering moving route prediction-based content is provided, in terms of a server, as a user terminal allows producing an image at the future time point, at the user's final position, which is predicted, based on a total delay time of a network, rather than producing images at every time point, it is possible to reduce the data amount required for creating the content, and as the image produced at the user's final position according to the user moving route is stored in the buffer, it is possible to provide smooth content service without delay. In addition, the user may experience virtual reality as a 360° image suitable for the user's moving position from the user's point of view is played through a HMD of the user terminal S1, and the user may also use a lively content by making the 360° image stereoscopic.