Automated Baseball Footage Metadata Generation via Player Name Detection
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Solution Overview
Problem
Current technologies for distributing baseball game footage as video on demand (VoD) require manual extraction of footage for each inning and lack efficient automated methods for extracting highlight scenes and metadata, such as player identification, from captured footage.
Innovation Solution
A data processing program that automatically identifies and stores player names for specific plate appearances in baseball game footage by extracting image characteristics and using detection sections to mark frames representing pitches and plate appearances, generating metadata for distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual extraction of footage for each inning is performed, then accurate metadata can be obtained, but the processing time and labor cost increase significantly
Solution Approach 1:
The patent replaces manual mechanical extraction processes with automated image processing and pattern recognition systems. The system automatically detects player names, team logos, and game events by analyzing video frames through computer vision algorithms, eliminating the need for manual frame-by-frame examination while maintaining metadata accuracy.
Solution Approach 2:
The system enables self-service metadata generation by automatically extracting and identifying key information from video content without human intervention. The automated detection of player names, team affiliations, and game events allows the system to generate comprehensive metadata independently, significantly reducing processing time while preserving accuracy.
2Productivity
If automated methods are used to extract metadata from captured footage, then processing efficiency improves, but the accuracy of player identification and event detection may deteriorate
Solution Approach 1:
The patent introduces intermediary processing steps between automated detection and final metadata generation. Multiple detection algorithms work in sequence, with each stage refining the results of the previous stage. The system uses intermediate verification steps to cross-check player names, team logos, and event detections, ensuring high accuracy while maintaining automated processing efficiency.
Solution Approach 2:
The system implements feedback mechanisms where detection results are continuously verified and refined. The automated system cross-validates player identifications against multiple frames and contextual information, correcting errors through iterative processing. This feedback loop ensures that automated extraction maintains high accuracy levels comparable to manual methods.
3Productivity
If highlight scenes are extracted automatically, then the distribution of VoD content becomes more efficient, but the quality and relevance of extracted highlights may be compromised
Solution Approach 1:
The patent segments the video content into distinct event types (hits, strikeouts, home runs, etc.) and processes each segment with specialized detection algorithms. By dividing the footage into meaningful event-based segments rather than continuous playback, the system can automatically identify and extract high-value highlight scenes while maintaining their contextual integrity and quality.
Solution Approach 2:
The system dynamically adjusts detection parameters based on the type of event being detected. Different algorithms and thresholds are applied depending on whether the system is detecting home runs, strikeouts, or other game events. This parameter adaptation allows the automated system to maintain high extraction quality across diverse highlight scenarios while improving overall processing efficiency.
Data Source
AI summary
A data processing device includes a processor that executes a procedure. The procedure includes, in cases in which display of a player name is included in one or more frames among a group of frames related to a given plate appearance extracted from captured baseball game footage that includes plural frames, identifying the displayed player name as the name of the batter of the given plate appearance; and storing the identified name in a storage device as a batter name corresponding to the group of frames related to the given plate appearance.