Vehicle Camera Video Segmentation for Selective Wireless Transfer
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Solution Overview
Problem
The large volume of data required for video recordings from vehicle cameras poses a challenge for efficient data transfer via wireless communication systems, especially during longer drives, consuming excessive data volume and limiting availability for other services.
Innovation Solution
The method involves segmenting video recordings into segments, analyzing their content using image captioning and machine learning, generating descriptive data, and selectively transferring only relevant segments based on classification in the extra-vehicular processing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If video recordings are transferred via wireless communication systems, then analysis and evaluation can be performed in extra-vehicular processing systems, but the data transfer volume becomes excessively large during longer drives
Solution Approach 1:
The video recording is divided into multiple video segments, each representing a discrete scene or time period. The processing system analyzes each segment independently to determine whether it contains relevant content for accident reconstruction. This segmentation allows selective transfer of only necessary segments rather than the entire video, dramatically reducing data transfer volume while preserving essential information.
Solution Approach 2:
The processing system extracts and transfers only the essential information from video segments - specifically, descriptive data about detected objects, their positions, movements, and relationships. Instead of transferring complete video files, the system extracts key features and metadata that are sufficient for accident analysis, reducing data volume by a factor of up to 6,000 times.
2Reliability
If complete video segments are transferred to extra-vehicular processing systems, then comprehensive analysis is possible, but data transfer consumes excessive bandwidth and time
Solution Approach 1:
The processing system performs preliminary analysis of video segments in the vehicle before transfer. It pre-identifies segments containing relevant content such as detected objects, potential hazards, or abnormal events. This preliminary processing ensures that only segments requiring further extra-vehicular analysis are transferred, eliminating unnecessary data transfer time while maintaining analysis completeness.
Solution Approach 2:
Instead of transferring the actual video segments, the system transfers compressed descriptive data that copies the essential information content. This descriptive data includes object detections, positional information, and event metadata that replicate the analytical value of the full video without requiring the original large-volume video files to be transmitted.
3Quantity of substance
If video data is compressed to reduce transfer volume, then data transfer efficiency improves, but information quality may be degraded
Solution Approach 1:
The processing system acts as an intermediary that transforms video data into a different representation format. Instead of compressing video files while attempting to preserve visual quality, the system converts video content into structured descriptive data about detected objects and events. This intermediary transformation maintains all essential information for accident analysis while achieving extreme compression ratios.
Solution Approach 2:
The system changes the fundamental parameters of data representation from continuous video pixels to discrete semantic descriptors. By transforming the data from visual intensity values to object-centric metadata (types, positions, movements, relationships), the system achieves lossless compression for analytical purposes while reducing data volume by thousands of times.
Data Source
AI summary
A method for determining video segments to be transferred of a video, which is recorded in a vehicle using a camera. The method including, for one or for each of multiple video segments of the videos recorded in the vehicle, analyzing the one or one of each of the multiple video segments with respect to its respective content, generating data, which include pieces of information relating to the respective content of a respective video segment, conveying the data to an extra-vehicular processing system, receiving pieces of information about one or about multiple video segments to be transferred from the extra-vehicular processing system and transferring the one or the multiple video segments to be transferred to the extra-vehicular processing system. A method carried out in the processing system, a camera system, and a processing system are also described.