Multi-View Video Transmission Adaptation via Channel Quality
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Solution Overview
Problem
The transmission of multi-view video data over wireless networks is limited by bandwidth, transmission distance, and interference, necessitating a method to determine when to capture, encode, and transmit multi-view video versus monoscopic video based on channel quality estimates and binocular disparity errors to ensure optimal video quality.
Innovation Solution
An apparatus and method that determine channel quality estimates and binocular disparity error estimates to decide whether to capture, encode, and transmit multi-view video data, or switch to monoscopic video mode, ensuring optimal video quality by adapting to communication channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-view video data is transmitted over wireless networks, then video quality and user experience are improved, but bandwidth consumption and transmission interference increase
Solution Approach 1:
The system dynamically switches between multi-view video mode and monoscopic video mode based on real-time channel quality estimates and binocular disparity error estimates. This dynamic adaptation allows the system to optimize video quality when channel conditions are good while reducing bandwidth consumption when conditions deteriorate, directly resolving the contradiction between maintaining high video quality and limiting bandwidth usage.
Solution Approach 2:
The system changes the operational parameters of video transmission by adjusting the video mode (multi-view vs. monoscopic) based on measured channel quality and rendering error parameters. This parameter change enables the system to adapt to varying network conditions, maintaining acceptable video quality while managing bandwidth consumption effectively.
2Reliability
If multi-view video data is transmitted over wireless networks, then video quality is improved, but transmission distance is limited due to interference
Solution Approach 1:
The system employs dynamic mode switching between multi-view and monoscopic video transmission based on real-time assessment of channel quality and binocular disparity errors. This dynamic approach enables the system to maintain acceptable video quality over varying transmission distances by adapting to changing wireless channel conditions, effectively extending the usable transmission range while preserving quality where possible.
3Reliability
If multi-view video data is transmitted, then user experience is enhanced, but processing complexity and resource consumption increase
Solution Approach 1:
The system dynamically adjusts processing complexity by switching between multi-view video processing and simpler monoscopic video processing based on channel conditions and rendering errors. This dynamic adaptation enhances user experience when processing resources are sufficient and channel quality is high, while reducing processing complexity when resources are constrained or conditions are poor.
4Reliability
If channel quality monitoring and dynamic mode switching is implemented, then video transmission reliability is improved, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring channel quality estimates and binocular disparity error estimates, then using this feedback to dynamically switch between transmission modes. This feedback-driven approach improves transmission reliability by adapting to actual channel conditions, while the automated nature of the feedback loop manages system complexity through algorithmic decision-making rather than manual intervention.
Data Source
AI summary
This disclosure provides systems, methods, and apparatuses for providing multi-view (MV) video data via a wireless network. For example, the apparatus may include a processor configured to determine at least a first channel quality estimate of a communication channel of the wireless network used to transmit first MV video data. The apparatus may include an input/output (I/O) controller configured to receive a binocular disparity error estimate indicative of a rendering of the first MV video data. The processor may be configured to determine whether to continue to at least one of capture, encode, and/or transmit MV video data based at least in part on the first channel quality estimate and/or the binocular disparity error estimate.