Scalable Video Recording System for Bandwidth Optimization
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Solution Overview
Problem
Current video recording systems face high costs and inefficiencies due to the need for extensive infrastructure for high-quality data transmission, as only a small portion of the data is used at any given time, and image quality is compromised in surveillance applications due to low transmission rates.
Innovation Solution
A video recording system that captures video sequences and converts them into scalable data streams, allowing for real-time output in downscaled quality while storing the full stream for later retrieval, reducing networking effort and maintaining high-quality data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video sequences are transmitted in high quality (uncompressed or broadcast quality), then image quality is maintained, but data transmission volume and networking costs increase significantly
Solution Approach 1:
The video data is segmented into multiple quality layers (base layer and enhancement layers) that can be transmitted separately. The base layer provides essential image information at lower quality, while enhancement layers add incremental quality improvements. This allows receivers to reconstruct video at different quality levels based on available bandwidth and storage capacity.
Solution Approach 2:
The system changes the quality parameter of the same video data by transmitting a scalable data stream that can be decoded at multiple quality levels. The video is encoded with variable quality parameters, allowing the same data stream to serve both high-quality archival storage and lower-quality real-time transmission needs without requiring separate encoding processes.
2Loss of information
If all camera data is transmitted and stored in high quality, then complete video information is available, but storage space and processing power requirements increase
Solution Approach 1:
The video data is pre-processed into a scalable format during encoding, creating a hierarchical structure with base and enhancement layers. This preliminary organization allows the system to efficiently provide different quality levels from the same data source without requiring re-encoding or additional storage space for multiple quality versions.
Solution Approach 2:
A single scalable video data stream serves multiple functions: it can be used for real-time low-quality transmission, archived for later high-quality retrieval, and adapted to different bandwidth conditions. This multi-functional approach eliminates the need for separate data streams for different quality requirements, optimizing both storage efficiency and information availability.
3Speed
If high data rates are used for transmission, then real-time high quality output is achieved, but networking infrastructure costs and complexity increase
Solution Approach 1:
The system dynamically adapts the transmission quality and data rate based on available network resources and receiver capabilities. The scalable video coding allows flexible adjustment of quality parameters in real-time, enabling the system to maintain acceptable video quality at variable data rates rather than requiring consistently high bandwidth for all transmissions.
4Quantity of substance
If video is transmitted at low quality to reduce data rates, then networking costs decrease, but image quality and analytical usefulness are compromised
Solution Approach 1:
The video data structure is organized like nested dolls, with a base layer containing essential image information and enhancement layers containing incremental quality improvements. The base layer can be decoded and displayed independently at lower quality, while enhancement layers can be added to progressively improve quality. This nested structure allows the same data to serve both low-quality real-time display and high-quality archival purposes.
Data Source
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AI summary
The invention relates to a video recording system comprising a pick-up means for capturing a video sequence, a memory, a compressor and a network interface. The compressor is designed to carry out video compression of the video sequence in order to obtain a scalable data stream which represents the video sequence. Furthermore, the compressor is designed to carry out real-time output of the scalable data stream in a downscaled version (113) or in such a manner that the real-time output of the scalable data stream takes place with a higher priority for the downscaled version (113) than for a missing part of the scalable data stream in an unshortened version of the scalable data stream, and in order to store the scalable data stream (111) in the memory (107) in a less downscaled version than the downscaled version. The stored, scalable data stream can be retrieved via the network interface.