Live Event Ad Overlays Using Intensity-Based Real-Time Bidding
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Solution Overview
Problem
Existing systems for inserting advertisements during live sporting events lack dynamic and targeted integration with real-time intensity-based bidding mechanisms, failing to capitalize on the most attention-grabbing moments effectively.
Innovation Solution
A system that calculates intensity levels for different moments of a live event, allowing real-time bidding for advertisement locations on video images based on these intensity levels, with dynamic graphic elements being overlaid to represent winning advertisements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advertisements are inserted during live sporting events using traditional methods, then advertisement delivery is achieved, but the advertisements fail to capitalize on high-intensity moments effectively and lack dynamic targeting
Solution Approach 1:
The system dynamically adjusts advertisement insertion based on real-time intensity levels calculated from live event data. Advertisement locations, timing, and content are not fixed but adapt continuously to the evolving state of the sporting event, allowing the system to capitalize on high-intensity moments when viewer engagement is highest.
Solution Approach 2:
The system changes multiple parameters simultaneously including intensity level thresholds, advertisement timing windows, location selection criteria, and bid pricing based on real-time event conditions. This multi-parameter adaptation enables sophisticated targeting of advertisements to match viewer attention patterns during different phases of the sporting event.
2Reliability
If real-time bidding is implemented for advertisement locations based on intensity levels, then ad effectiveness increases, but computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary calculations of intensity levels using pre-defined metrics and thresholds before the bidding process begins. By pre-processing event data and establishing intensity benchmarks in advance, the system reduces the computational burden during real-time bidding, allowing rapid decision-making without sacrificing effectiveness.
Solution Approach 2:
The bidding system operates autonomously using automated algorithms that calculate intensity levels, determine advertisement values, and execute bids without requiring extensive manual intervention or complex real-time human decision-making. This self-service approach minimizes computational overhead while maintaining high effectiveness through consistent algorithmic evaluation.
3Productivity
If dynamic graphic overlays are used for advertisements, then viewer engagement increases, but the complexity of integrating real-time data processing increases
Solution Approach 1:
The system segments the live event data stream into discrete intensity metrics that can be independently calculated and evaluated. By dividing the complex data integration task into separate intensity level calculations based on specific event parameters, the system simplifies the overall processing complexity while enabling dynamic graphic overlays that respond to specific intensity thresholds.
Data Source
AI summary
Systems and methods for real-time bidding of advertisement during live event broadcasting are disclosed including calculating intensity levels during a live event, opening advertisement space on screen for real-time bidding based on intensity levels, and displaying an advertisement in the advertisement space as an overlay on video images of the live event broadcasting.