Distributed Image 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 overwhelm central processing sites, and existing solutions that limit data transmission are not user-friendly or intelligent in managing bandwidth usage.
Innovation Solution
A distributed image/video processing system that dynamically adjusts image/video data processing and compression based on real-time network bandwidth availability, using techniques like de-noising and compression to maintain efficient transmission while preserving display quality, allowing devices to transmit processed data transparently to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users transmit image/video data to central network sites, then data storage and processing capacity is improved, but network transmission bandwidth is degraded
Solution Approach 1:
The patent applies preliminary action by performing image processing and compression at the client device before transmission to the network. The system pre-processes images to reduce their size and optimize them for network transmission, thereby decreasing the bandwidth required during actual transmission while still achieving the goal of storing and processing large amounts of image data centrally.
Solution Approach 2:
The patent extracts unnecessary or redundant data from images before transmission. By removing redundant information and compressing the image data at the source, the system reduces the amount of data that needs to be transmitted over the network, thus preserving bandwidth while maintaining the essential visual information needed for storage and processing.
2Productivity
If network bandwidth is limited to reduce congestion, then network transmission efficiency is improved, but user experience and data quality are degraded
Solution Approach 1:
The patent applies local quality by using different compression algorithms and quality settings for different regions or types of image data. The system identifies important visual regions and preserves higher quality in those areas while applying more aggressive compression to less critical regions, thereby maintaining overall image quality while reducing total data transmission requirements.
Solution Approach 2:
The system performs preliminary quality assessment and optimization before transmission, selecting appropriate compression levels based on network conditions and image importance, ensuring that quality is maintained where needed while efficiency is improved where possible.
3Loss of energy
If image processing is performed at client devices, then network bandwidth consumption is reduced, but device processing capacity requirements increase
Solution Approach 1:
The patent applies partial action by performing only the essential image processing and compression operations at the client device, rather than complete processing. The system performs sufficient preprocessing to reduce bandwidth consumption significantly, while leaving final processing and enhancement to be performed at the network side where greater computational resources are available.
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.