Epipolar Geometry Motion Coding for Cloud Gaming
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Solution Overview
Problem
Current video coding techniques for cloud gaming struggle with efficient motion prediction, particularly in environments where 3D graphics rendering is distributed across servers and clients with limited computation capabilities, leading to suboptimal rendering quality and increased bitrates.
Innovation Solution
The implementation of a video coding system that uses epipolar geometry to determine motion parameters for motion prediction between frames, allowing for more accurate and efficient prediction of pixel blocks between a current frame and a reference frame, thereby reducing the need for explicit motion vector coding and improving compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional motion prediction techniques are used in cloud gaming, then the system can operate with distributed rendering, but the bitrate required for motion information increases and rendering quality deteriorates
Solution Approach 1:
The patent changes the parameters used for motion prediction from conventional approaches to epipolar geometry-based parameters. By using epipolar lines and geometric constraints to derive motion vectors, the system achieves more accurate motion prediction with reduced bitrate requirements, directly resolving the contradiction between quantity of data and rendering quality.
2Productivity
If explicit motion vector coding is used, then motion information can be transmitted, but compression efficiency decreases
Solution Approach 1:
The patent extracts and utilizes geometric constraints from the image structure itself to derive motion vectors. By taking out the motion information implicitly present in the epipolar geometry of the image pairs, the system eliminates the need for explicit motion vector coding, thereby improving compression efficiency while maintaining motion information accuracy.
Data Source
AI summary
A video coding system performs motion prediction based on epipolar geometry. A first camera corresponds to a current frame, a second camera corresponds to a reference frame and epipolar geometry is used to determine motion parameters allowing to perform a prediction between the reference frame and the current frame.