Gaming Headset Machine-Learning Reconstruction for Lower Bandwidth
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Solution Overview
Problem
Current VR and AR systems face challenges in rendering high-resolution images due to the need for high bandwidth data transfer, which is impractical for wearable devices, and existing wireless transmission methods fail to provide sufficient bandwidth without causing latency and interference.
Innovation Solution
A gaming headset equipped with a processing unit that receives incomplete video frame data, applies a machine learning algorithm to predict missing data, and combines it with received data to generate complete frames, reducing the data transmission load by using a neural network on the headset to fill in missing pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uncompressed video data is transmitted from game console to VR headset, then video quality is improved, but data transmission bandwidth requirement increases
Solution Approach 1:
The patent extracts and transmits only a portion of the video frame data (e.g., every other line or block of pixels) to the VR headset, rather than transmitting the complete uncompressed video data. This reduction in transmitted data quantity directly addresses the bandwidth constraint while the missing portions are subsequently reconstructed through rendering techniques.
Solution Approach 2:
The patent creates a compressed representation of the video data by transmitting a simplified version (incomplete frame data) that can be used to reconstruct the full video frame through rendering. The headset generates missing portions by copying and interpolating from available data and previously rendered frames, effectively creating a complete visual output from reduced input.
2Measurement precision
If high bit rate data transfer is used to transmit video data, then video quality is improved, but device portability deteriorates
Solution Approach 1:
The patent removes the requirement for high-performance processing hardware in the headset by extracting and transmitting only essential video frame data. This allows the headset to use lighter, less powerful processors while still achieving high-quality video output through efficient rendering and reconstruction of the transmitted data portions.
3Weight of moving object
If standard wireless transmission methods are used, then device portability is improved, but transmission bandwidth is insufficient
Solution Approach 1:
The patent extracts and transmits only a subset of video frame data (reducing data quantity by 50% or more in some implementations), which enables standard wireless transmission protocols to handle the reduced data load within their existing bandwidth constraints while maintaining acceptable video quality through rendering reconstruction.
4Loss of time
If latency is reduced for fast feedback, then gaming responsiveness is improved, but data transmission completeness may suffer
Solution Approach 1:
The patent performs preliminary rendering of video frame portions on the game console before transmission to the headset. By pre-processing and transmitting essential frame data in advance, the system reduces the computational burden on the headset and minimizes processing latency, while the rendered data ensures information completeness for the transmitted portions.
Solution Approach 2:
The patent implements continuous transmission of video frame data portions and continuous rendering reconstruction at the headset, ensuring an uninterrupted video stream. This continuous process maintains both low latency through efficient real-time processing and data completeness through ongoing reconstruction of transmitted frame portions.
Data Source
AI summary
A gaming headset comprising a processing unit configured to: receive incomplete video frame data, representing a first portion of a video frame; predict video frame data by applying a machine learning algorithm to the incomplete video frame data to generate predicted video frame data; combine the incomplete video frame data and predicted video frame data to generate complete video frame data representing a whole video frame; output the complete video frame data to a display.