Context-Matched Media Clip Insertion for Relevant Advertising

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Solution Overview

Problem

Existing media advertisement systems are inflexible, often failing to highlight attributes of a product or service that a user is attracted to, leading to missed opportunities due to static advertisement content.

Innovation Solution

A media guidance application dynamically selects and inserts segments of target media assets during playback, based on prominent attributes of the currently watched media asset, such as actor or theme, to create personalized and relevant advertisements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If static pre-selected advertisements are displayed during predefined advertisement breaks, then the advertisement content is simple to produce and deliver, but the advertisement relevance to user preferences is low

Engineering Contradiction:

Improveadvertisement relevanceVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The advertisement system transitions from static pre-selected content to dynamic content that changes based on real-time analysis of the media asset being watched and user preferences. The system dynamically selects and inserts advertisement segments during playback based on prominent attributes detected in the current scene, making the advertisement content adaptive rather than fixed.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes multiple parameters including advertisement content selection, insertion timing, and duration based on analyzed attributes of the media asset. By modifying these parameters dynamically according to scene characteristics and user profile data, the system achieves higher relevance without requiring complete system redesign.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If advertisement content is customized based on user historical preferences, then the advertisement targeting accuracy is improved, but the advertisement content remains static and may miss current user interests

Engineering Contradiction:

Improveuser preference matching accuracyVSAvoidadvertisement content flexibility

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary analysis of user preferences and media asset attributes before advertisement insertion. By pre-processing user profile data and analyzing prominent attributes in the current scene, the system prepares customized advertisement content in advance, ensuring both accuracy and flexibility when the advertisement is displayed.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback loops that continuously analyze user interactions, media asset characteristics, and advertisement performance. This feedback mechanism allows the system to refine its understanding of user preferences in real-time and adjust advertisement content dynamically, combining historical data with current context for improved relevance.

Inventive Principle:

Principle #23Feedback

3Productivity

If multiple advertisement segments are inserted at different positions during media asset playback, then the advertisement exposure frequency is increased, but the disruption to user viewing experience is greater

Engineering Contradiction:

Improveadvertisement exposure effectivenessVSAvoidviewing experience smoothness

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The system applies different advertisement insertion strategies at different locations within the media asset based on local scene characteristics. By analyzing prominent attributes of specific scenes and determining optimal insertion points locally rather than using a uniform approach, the system increases advertisement exposure while minimizing disruption to the overall viewing experience.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12513368B2System and methods for selecting and generating portions of a target media asset for advertising the target media asset while the user watches a media asset

Publication Date: 2025.12.30 ADEIA GUIDES INC

AI summary

Systems and methods are described for aggressive advertisement of media content. The system, using a prominent attribute of a first media asset, selects, from a plurality of candidate media assets for partial exposure to the user, a second media asset that features the prominent attribute. In response to determining the end to the first scene, the system determines a second attribute of the first scene and plays back a first segment of the second media asset featuring the prominent attribute and the second attribute, and resumes playback of the first media asset. During the resumed playback of the first media asset, the system detects a third attribute of a second scene. In response to determining an end of the second scene, the system plays back a second segment of the second media asset featuring the prominent attribute and the third attribute before resuming playback of the first media asset.