Route Video Stitching Using Geographical Coordinate Filtering
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Solution Overview
Problem
Existing map services do not provide a comprehensive visual representation of a route from a driver's perspective, especially when specific road conditions or traffic patterns are not easily discernible from an overhead view, limiting user understanding of the route.
Innovation Solution
A method and system that receive user-indicated paths on an electronic map, determine geographical coordinates, identify and filter video content corresponding to these coordinates based on user preferences, and stitch together relevant video segments into a contiguous video stream, providing a visual representation of the route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple video segments from different sources are combined to show the complete route, then the comprehensiveness of route visualization is improved, but the complexity of video processing and stitching increases
Solution Approach 1:
The route is divided into multiple video segments based on geographical coordinates and location data. Each video source covers specific portions of the route, and these segments are processed independently before being stitched together into a complete route visualization.
Solution Approach 2:
A coordinate-based intermediary system is introduced to map video segments to their corresponding route portions. The geographical coordinates serve as a mediator that enables automatic matching and stitching of video segments from different sources without manual intervention.
2Reliability
If video content is filtered based on user preferences to improve relevance, then the quality of route representation is improved, but the processing time and computational resources increase
Solution Approach 1:
User preferences are captured and stored in advance before video processing begins. This preliminary action allows the filtering algorithm to quickly match video segments against pre-defined criteria without requiring complex real-time decision-making during the stitching process.
Solution Approach 2:
The filtering process uses adjustable parameters based on user preferences (such as video quality thresholds, source priorities, and time ranges) to efficiently select relevant video segments. By changing these parameters, the system can adapt to different user needs while maintaining efficient processing.
3Measurement precision
If geographical coordinates are precisely determined along the user-indicated path, then the accuracy of video segment matching is improved, but the complexity of coordinate processing increases
Solution Approach 1:
The system automatically determines geographical coordinates along the user-indicated path without requiring manual input. The coordinate processing is self-service in nature, where the system uses the user's start and end points to automatically generate the coordinate sequence needed for video segment matching.
Data Source
AI summary
A method for generating a consolidated video includes receiving a user indicated path of interest on an electronic map, determining geographical coordinates situated along the received path of interest, identifying video content that display a plurality of regions corresponding to the geographical coordinates situated along the received path of interest, filtering the identified video content into a set of video segments based on a set of user preferences, and stitching the set of video segments into one contiguous video.