Dynamic Stoppage Time Media Content Optimization
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Solution Overview
Problem
Televised sporting events often experience unpredictable stoppages, making it challenging for broadcasters to seamlessly integrate advertisements without disrupting the natural flow of the game or causing 'dead air', as they struggle to accurately predict and match the duration of stoppages with commercial breaks.
Innovation Solution
A computer-implemented method that uses past performance data and real-time observations to dynamically predict stoppage times and optimize the sequence of preexisting media files, ensuring that media content aligns with the expected stoppage duration, thereby eliminating the need for unnatural extensions of stoppage time and improving viewer experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If advertisements are provided to match pre-planned stoppage time, then ad revenue is maximized, but the natural flow of the game is disrupted and overall game time is extended
Solution Approach 1:
The system dynamically adjusts the advertisement content sequence based on real-time prediction of stoppage duration. Instead of using fixed pre-planned ad sequences, the system continuously monitors game events and adapts the ad delivery to match actual stoppage length, resolving the contradiction between maximizing ad revenue and maintaining natural game flow.
Solution Approach 2:
The system implements a feedback loop where stoppage duration is predicted in real-time based on game observations, and this prediction feeds back into the selection and adjustment of advertisement sequences. This closed-loop control ensures ads are delivered optimally without extending game time, as the system responds to actual game conditions rather than following rigid schedules.
2Loss of energy
If advertisement duration is extended to ensure complete ad playback, then ad revenue is maximized, but viewers may miss gameplay resumption
Solution Approach 1:
The system dynamically tailors advertisement duration to match predicted stoppage time, ensuring complete ad playback only when the stoppage is sufficiently long. This prevents viewers from missing gameplay resumption while still maximizing ad revenue by playing complete ads when conditions permit.
Solution Approach 2:
The system changes the parameter of advertisement duration based on predicted stoppage time. When stoppage time is short, ad duration is reduced or truncated; when stoppage time is long, complete ads are played. This parameter adjustment resolves the contradiction between ensuring complete ad playback and preventing viewers from missing gameplay.
3Ease of operation
If advertisement sequence is fixed in advance, then broadcasting simplicity is maintained, but dead air occurs when stoppage time is insufficient
Solution Approach 1:
The system performs preliminary actions by pre-processing and categorizing advertisement content based on duration and type. This preparation enables rapid selection and adjustment of ad sequences during live broadcasting without complex real-time decision-making, maintaining broadcasting simplicity while preventing dead air through automated adaptation to actual stoppage duration.
Data Source
AI summary
Aspects include receiving past performance data. Aspects also include collecting a set of observations about a live event. Aspects also include generating a stoppage time prediction based on the past performance data and the set of observations about the live event. Aspects also include generating an optimized content sequence based on the stoppage time prediction and a respective duration of each of a plurality of preexisting media files. The optimized content sequence includes a sequence of one or more media files of the plurality of preexisting media files.