Multi-Camera Personalized Race Video Generation by Racer ID
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Solution Overview
Problem
Existing video distribution systems for sports events, such as horse racing, fail to provide personalized race videos tailored to individual audience members, requiring users to manually select and switch between videos of different racers.
Innovation Solution
A video provision apparatus that acquires a racer ID from a user, collects videos from multiple cameras, generates a personalized video based on this ID, and outputs it to a user terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a real-time viewing system is used to distribute race videos, then the system can provide video distribution capability, but it cannot provide personalized videos tailored to each audience member, requiring manual selection and switching
Solution Approach 1:
The system automatically generates personalized race videos by detecting racers in broadcast videos and allowing users to select desired racers through simple input (racer number, color, or name). The system then automatically edits and provides customized videos without requiring manual selection and switching, making the service self-adaptive to user preferences
Solution Approach 2:
The system performs preliminary detection and analysis of racers in broadcast videos before user selection. By pre-processing the video content to identify and tag racers, the system prepares personalized video segments in advance, enabling quick customization when users specify their preferred racer
2Area of stationary object
If multiple cameras capture race videos simultaneously, then comprehensive coverage is achieved, but the complexity of managing and selecting appropriate video feeds increases
Solution Approach 1:
The system introduces an automatic video selection mechanism that acts as an intermediary between multiple camera feeds and the user. This mechanism detects which racers are present in each camera's view and automatically selects the most appropriate video feed based on the user's specified racer, eliminating the need for users to manually manage multiple video sources
Solution Approach 2:
The system replaces manual video feed selection with automated computer vision technology. Algorithms detect racer positions, identify which cameras are capturing the desired racer, and automatically switch or composite video feeds without mechanical intervention, simplifying the user interface while maintaining comprehensive multi-camera coverage
Data Source
AI summary
A video provision apparatus (10) includes a specification unit (11) for acquiring a racer ID for identifying a racer specified by a user from among racers that participate in a race, a video collection unit (12) for collecting videos of the race captured in the same time section from a plurality of cameras, a generation unit (15) for generating, based on the racer ID specified by the user, a user-specific video from the videos collected from the plurality of cameras, and an output control unit (16) for causing a user terminal used by the user to output the user-specific video.


