Video Segment Selection Based on Sports Performance Benchmarks
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Solution Overview
Problem
Existing gaming systems lack an efficient method to utilize historical performance data to provide engaging and rewarding gameplay experiences, particularly in games that involve selection of entities based on their past performance.
Innovation Solution
The system allows users to select entities (such as sports players or stocks) and determine if they met a performance benchmark during a specified historical performance period, with payouts based on the number of entities that meet the benchmark, and incorporates the presentation of video segments related to the performance of selected entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system presents detailed historical performance data and video segments to enhance user engagement, then user engagement and entertainment value improve, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments historical performance data into discrete, manageable units that can be individually processed and presented. Video segments are divided into discrete clips representing specific performance events, allowing the system to handle complex data through modular processing rather than as a monolithic dataset.
Solution Approach 2:
The system performs preliminary processing of historical performance data by pre-identifying and categorizing performance benchmarks and associated video segments before gameplay begins. This advance preparation reduces real-time processing requirements while maintaining high engagement through rich data presentation.
2Loss of information
If the system processes and presents multiple video segments corresponding to performance benchmarks, then entertainment value and information delivery improve, but data processing time and computational resources increase
Solution Approach 1:
The system extracts only the relevant video segments and performance data that directly correspond to evaluated benchmarks, rather than processing or presenting all available historical data. This selective extraction delivers comprehensive information about player performance while minimizing unnecessary processing time.
Solution Approach 2:
The system uses video segments as visual copies or representations of actual performance events, allowing users to review performance information without requiring access to or processing of the full original performance data sets. The video segments serve as efficient surrogates for complete historical records.
Data Source
AI summary
Technologies are provided for the supply of video segments and other types of media assets during a gameplay of a videogame. In some embodiments, a gaming device can receive first data identifying a sports player within a listing of sports players. The gaming device also can receive second data identifying a performance benchmark within a listing or performance benchmarks. The gaming device can select a performance period corresponding to the sports player. The gaming device can then determine if a performance of the sports player during the performance period meets or exceeds the performance benchmark. In response to a positive determination, the gamins device can cause a display device to present a sequence of video segments corresponding to the performance of the sports player during the performance period.


