Video Stream Image Stabilization for Jitter and Motion Sickness
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Solution Overview
Problem
Current gaming and video applications generate excessive jitter that can cause motion sickness and hinder user enjoyment, with limited customization options for image stabilization.
Innovation Solution
An image stabilization system and method that identifies jitter levels in video streams, processes the stream by repositioning imagery, and displays the processed stream to reduce distracting vibrations, using techniques like local motion estimation, AI estimation, software low-pass filtering, and key frame keeping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If image stabilization is applied to reduce jitter, then visual clarity and user comfort are improved, but processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-processing the video stream to identify and characterize jitter patterns before applying stabilization. It analyzes the video stream in advance to determine the type and magnitude of jitter, allowing the stabilization algorithm to be optimized specifically for the detected jitter characteristics, thereby reducing real-time processing requirements.
Solution Approach 2:
The image stabilization system dynamically adjusts its processing parameters based on the detected jitter level and type. It can switch between different stabilization algorithms or adjust the intensity of stabilization effects in real-time, allowing the system to optimize the balance between jitter reduction and processing time for each specific video stream.
2Object-affected harmful factors
If aggressive image stabilization is applied, then jitter reduction is improved, but visual artifacts and loss of image quality increase
Solution Approach 1:
The system changes processing parameters adaptively based on the detected jitter characteristics. It adjusts parameters such as stabilization intensity, processing speed, and algorithm selection to match the specific jitter pattern detected in the video stream, thereby achieving effective jitter reduction while preserving image quality.
Solution Approach 2:
The image stabilization system incorporates feedback mechanisms that continuously monitor the video stream and adjust stabilization parameters based on the results. It analyzes the effect of stabilization processing on image quality and modifies its operation to minimize artifacts while maintaining jitter reduction effectiveness.
Data Source
AI summary
Systems and methods for image stabilization of video imagery generated by applications are disclosed. In some embodiments, an Information Handling System (IHS) may include executable instructions to receive a video stream from an application executed on the IHS, identify a level of jitter in the video stream, and process the video stream by re-positioning imagery in the video stream to compensate for the jitter. The instructions may then display the processed video stream on a display. The display displays the processed video stream in place of the video stream generated by the application.