Wireless VR Latency Reduction via Viewpoint Prediction
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Solution Overview
Problem
Conventional Virtual Reality (VR) systems fail to provide high visual quality and low latency, which are essential for a continuous realistic experience, due to limitations in data processing and transmission, especially when using wireless mediums, restricting user mobility and interaction.
Innovation Solution
The VR systems utilize user feedback information, such as tracking data, to predict user viewpoints in subsequent frames, employing handshaking protocols between hardware and software components to reduce latency and efficiently transmit and process audio-video data via wireless channels, ensuring high visual quality and low latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless transmission is used in VR systems, then user mobility and freedom of movement are improved, but data transmission latency increases
Solution Approach 1:
The system performs preliminary actions by predicting the user's next viewpoint based on current tracking data before the actual viewing occurs. The server anticipates what content needs to be rendered and prepared in advance, allowing the system to compensate for wireless transmission latency. This enables the VR system to maintain low perceived latency while using wireless transmission for user mobility.
Solution Approach 2:
The system implements feedback mechanisms where user tracking information is continuously monitored and fed back to the server. Based on this feedback, the server adjusts rendering predictions and content transmission timing. This feedback loop allows the system to dynamically compensate for wireless transmission delays and maintain synchronized user experience.
2Manufacturing precision
If high visual quality video data is transmitted, then realism of VR experience is improved, but data processing complexity increases
Solution Approach 1:
The system segments the video data processing into distinct phases: prediction phase (determining next viewpoint), rendering phase (generating video data), encoding phase (compressing data), and transmission phase. By dividing the complex processing into manageable segments handled by different system components, the system achieves high visual quality while managing processing complexity through specialization.
Solution Approach 2:
The system introduces prediction algorithms as intermediaries between user tracking and video rendering. This intermediary layer simplifies the overall system by pre-determining what needs to be rendered, allowing the rendering system to focus only on generating the actual video data rather than making real-time decisions about content selection.
3Loss of time
If real-time video data processing is performed, then latency is reduced, but computational resources required increase
Solution Approach 1:
The system performs computationally intensive prediction calculations in advance, before the actual video rendering. By pre-determining the next viewpoint based on current tracking data, the system reduces the computational burden during real-time rendering, as the prediction logic has already been executed. This allows real-time processing with reduced instantaneous computational resource requirements.
Solution Approach 2:
The system applies partial rendering and selective processing by focusing computational resources only on the predicted next viewpoint rather than processing all possible frames. This partial action approach reduces overall computational resource consumption while maintaining real-time performance by concentrating effort where it is most needed.
Data Source
AI summary
A device and method for processing Virtual Reality (VR) data is disclosed. The method comprises transmitting feedback information from the device to a server, wherein the feedback information is captured in the device, receiving data from the server to be presented on the device based on the feedback information, wherein the data includes video data and audio data where the video data is a frame of video data in a sequence of frames and the audio data is the corresponding audio data of the frame, decoding the video data and corresponding audio data of the frame, and controlling the presentation of the video data and corresponding audio data on the device such that the video data is synchronized with the corresponding audio data.