Distributed Image Video Processing Bandwidth Adaptation
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Solution Overview
Problem
Current telecommunications networks face degradation due to high data volume transmissions of image/video data, which can be mitigated by limiting data transmission, but this approach is not user-friendly and does not maintain display quality.
Innovation Solution
A distributed image/video processing system that dynamically adjusts image/video data processing based on available network bandwidth, using techniques like compression and noise reduction to reduce data volume while maintaining quality, transparent to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If large numbers of network users transmit image/video data to central network sites, then users can access and store high-quality image/video data, but the network is significantly degraded due to high data volume
Solution Approach 1:
The patent applies local quality by allowing different network nodes (recorders) to dynamically adjust their data transmission quality based on local network conditions. Each recorder monitors available bandwidth and adapts its compression and processing parameters locally, rather than imposing a uniform quality level across the entire network. This resolves the contradiction by enabling high-quality transmissions when bandwidth is available while automatically reducing quality when bandwidth is constrained, thus maintaining network reliability without sacrificing user access to high-quality data when conditions permit.
Solution Approach 2:
The patent implements dynamics by making the image/video processing and compression parameters dynamic rather than static. Recorders continuously monitor network bandwidth conditions and adjust compression ratios, processing intensity, and data transmission characteristics in real-time. This dynamic adaptation allows the system to optimize between transmission volume and network performance, increasing compression when network load is high and reducing compression when bandwidth is abundant, thereby resolving the technical contradiction.
2Quantity of substance
If the amount of image/video data transmitted on the network is limited, then network bandwidth is preserved, but users must have detailed knowledge of network communications and cannot rely on intelligent automatic management
Solution Approach 1:
The patent applies self-service by enabling recorders to automatically manage their own data processing and transmission without requiring user intervention. The system autonomously monitors network bandwidth conditions, selects appropriate compression algorithms, adjusts processing parameters, and manages data transmission. This self-service capability resolves the contradiction by eliminating the need for users to have detailed knowledge of network communications while still achieving intelligent automatic management of data volumes, as the system makes all decisions autonomously based on real-time network conditions.
Solution Approach 2:
The patent implements feedback mechanisms where recorders continuously monitor network bandwidth conditions and use this feedback to automatically adjust their processing and transmission behavior. The system receives feedback about available bandwidth and responds by dynamically modifying compression ratios and data transmission parameters. This closed-loop feedback control resolves the contradiction by enabling the system to intelligently manage data volumes based on actual network conditions without requiring user knowledge or intervention.
3Productivity
If aggressive compression techniques are applied to reduce data volume, then network transmission efficiency is improved, but display quality of image/video data deteriorates
Solution Approach 1:
The patent applies dynamics by making compression techniques and processing parameters dynamic rather than fixed. The system continuously monitors network bandwidth conditions and adjusts compression ratios, algorithm selection, and processing intensity in real-time. When bandwidth is abundant, the system uses lighter compression to preserve quality; when bandwidth is constrained, it applies more aggressive compression. This dynamic adaptation resolves the contradiction by allowing the system to optimize between transmission efficiency and display quality based on actual network conditions rather than being locked into a fixed compression level.
Solution Approach 2:
The patent applies local quality by allowing different recorders and different data streams to have different compression and processing characteristics based on local network conditions. Each recorder independently monitors its own network bandwidth availability and adjusts its processing parameters accordingly. This enables high-quality transmissions when local bandwidth permits while accepting lower quality only when locally constrained, resolving the contradiction by allowing quality to vary locally rather than imposing a uniform compression level across all transmissions.
Data Source
AI summary
A distributed image/video processing system is disclosed herein wherein one or more of digital image/video recorders (e.g., a digital cameras, video recorders, or smart phones, etc.) are in network communication with central network site for transmitting image or video data thereto. The recorders process their image/video data dependent upon an estimate of a measurement of network bandwidth that is available for transmitting image or video data to the central network site.