Audience-Targeted Content Triggering in Video Streams

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Solution Overview

Problem

Existing video content delivery systems face challenges in effectively targeting and measuring the effectiveness of advertisements and interactive content, struggling to ensure that this content reaches the intended audience at the right time, which affects user engagement and experience.

Innovation Solution

A system that analyzes audience and video content data in real-time to detect trigger events, using algorithms to select and deliver interactive adjunct content as overlays, tailored to audience dynamics, through a data collection engine, analysis engine, and triggering event detection engine, allowing for targeted and timely content delivery across various devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional video content delivery systems are used to deliver advertisements and interactive content, then content can be delivered to audiences, but the ability to target specific audience segments and measure effectiveness is poor

Engineering Contradiction:

Improveaudience targeting capabilityVSAvoideffectiveness measurement data

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system segments the audience into different groups based on demographic data, viewing behavior, and engagement metrics. This segmentation enables targeted content delivery to specific audience segments rather than treating all viewers uniformly, directly improving the audience targeting capability while maintaining effective measurement of each segment's response.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements real-time feedback mechanisms by tracking audience engagement with advertisements and interactive content. This feedback loop provides measurable data on content effectiveness, allowing the system to adjust and optimize future content delivery based on actual audience response, thereby resolving the inability to measure effectiveness.

Inventive Principle:

Principle #23Feedback

2Productivity

If real-time audience analysis and trigger detection algorithms are implemented, then targeted content delivery is improved, but system complexity increases

Engineering Contradiction:

Improvecontent delivery effectivenessVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system employs a multi-functional architecture where the data collection engine, analysis engine, and trigger detection engine work together as an integrated system. This universal approach allows the same infrastructure to handle multiple tasks including data collection, real-time analysis, trigger detection, and content delivery coordination, improving content delivery effectiveness while managing system complexity through functional integration.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs preliminary actions by pre-collecting and organizing audience data, pre-defining trigger conditions and content selection criteria before actual content delivery occurs. This preparation work is done in advance so that when a trigger event occurs, the system can rapidly respond with pre-selected content, thereby improving delivery effectiveness without requiring complex real-time processing during the actual content delivery moment.

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If interactive adjunct content is provided as overlays during video content, then user engagement is enhanced, but the delivery timing and relevance to audience dynamics becomes difficult to manage

Engineering Contradiction:

Improveuser engagement levelVSAvoidcontent delivery timing precision

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system dynamically adjusts content delivery based on real-time audience engagement metrics and viewing behavior. Rather than using fixed scheduling, the system continuously monitors audience dynamics and adapts the timing, type, and targeting of interactive content overlays to match current audience state, thereby enhancing user engagement while maintaining precise delivery timing through adaptive real-time control.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system replaces traditional mechanical timing systems with algorithmic trigger detection and automated content selection. Instead of relying on pre-scheduled fixed timing, the system uses detection algorithms to identify optimal moments for content delivery based on actual audience engagement patterns, substituting rigid mechanical timing with flexible algorithmic decision-making to achieve both high engagement and precise timing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10848792B2System and method for providing audience-targeted content triggered by events during program

Publication Date: 2020.11.24 MAESTRO INTERACTIVE INC

AI summary

A system for providing adjunct content into a video stream based on significant events, audience data, user data, and program content data. The system includes a server configured to host an analyzer and a broadcast engine. The analyzer is configured to receive event data associated with a program and to analyze the event data to detect a triggering event based on detection criteria. In response to detection of the triggering event, the analyzer is configured to select adjunct content to be provided with the program based on selection criteria. The selection criteria includes at least one of a triggering event type of the triggering event or a program content type of the program. The broadcast engine is configured to transmit the selected adjunct content along with program content of the program to a device associated with a user of an audience of the program.