Multi-Camera Video Transmission with Scene-Based Data Reduction
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Solution Overview
Problem
The transmission of video data from multiple cameras mounted on a moving body to an external device results in increased communication delay and cost due to the large amount of data being transmitted, which is undesirable for remote support applications.
Innovation Solution
A video transmission method that includes data reduction processes such as selection, reduction, and uniting of video data, where the moving body acquires and reduces the data amount by omitting low-priority video streams, applying super-resolution techniques to maintain image quality, and combining video feeds to minimize data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video data from multiple cameras is transmitted simultaneously, then comprehensive remote support capability is improved, but communication delay and cost increase
Solution Approach 1:
The patent extracts and transmits only the necessary video data from multiple camera streams by applying super-resolution technology to reconstruct high-quality images from fewer, lower-resolution streams. This selective extraction maintains comprehensive monitoring capability while reducing the total data volume transmitted over the communication channel.
Solution Approach 2:
The patent changes the resolution parameter of transmitted video data by using super-resolution algorithms to reconstruct high-definition images from low-resolution input streams. This parameter transformation allows the system to transmit less data (lower resolution streams) while maintaining the quality (high resolution output) needed for reliable remote support.
2Reliability
If video data from multiple cameras is transmitted simultaneously, then comprehensive remote support capability is improved, but communication cost increases
Solution Approach 1:
The system extracts essential visual information from multiple camera perspectives and reconstructs comprehensive views using super-resolution technology. By transmitting only the reconstructed essential data rather than all original camera streams, communication costs are reduced while maintaining remote support effectiveness.
Solution Approach 2:
The patent creates a virtual copy of high-resolution video data through computational super-resolution algorithms. Instead of transmitting multiple high-resolution original streams, the system generates a synthetic high-quality representation from fewer low-resolution streams, reducing communication energy expenditure while preserving image quality for remote support operations.
Data Source
AI summary
A plurality of pieces of video data are respectively captured by a plurality of cameras mounted on a moving body. Before data transmission from the moving body to an external device, a data reduction process is executed to reduce the transmission data amount. The data reduction process includes at least two of: a selection process that omits at least one of the plurality of pieces of video data from the transmission video data according to a scene where the moving body is placed; a reduction process that reduces at least one of the plurality of pieces of video data; and a uniting process that combines first video data and second video data such that a screen of the second video data is displayed in a screen of the first video data.