Context-Aware Product Placement in Video Content

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Solution Overview

Problem

Conventional advertisement methods in product placement often result in low user engagement due to ad blocking software and lack of relevance, as they typically use a bottom-up approach that inserts advertisements without considering the content's context.

Innovation Solution

A top-down approach that analyzes the content's context using vision-based scene modeling techniques to determine appropriate product placements, ensuring they appear natural and relevant, thereby increasing user engagement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional bottom-up advertisement insertion methods are used, then advertisement placement is simple and fast, but user engagement is low and advertisements are perceived as interruptions

Engineering Contradiction:

Improveadvertisement placement efficiencyVSAvoiduser engagement

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent inverts the conventional bottom-up approach by implementing a top-down method where product placement is determined by analyzing content context first, then selecting appropriate products. This reversal ensures advertisements are contextually relevant rather than randomly inserted, resolving the contradiction between placement efficiency and user engagement by making ads feel natural to the content narrative

Inventive Principle:

Principle #13The other way round (Inversion)

Solution Approach 2:

The system performs preliminary analysis of content context, objects, and scenes before product selection and placement. By pre-analyzing the content framework and identifying suitable placement opportunities in advance, the system maintains high efficiency while ensuring ads are contextually appropriate, thus improving user engagement without sacrificing productivity

Inventive Principle:

Principle #10Preliminary action

2Device complexity

If advertisements are inserted without considering content context, then placement process is simple and quick, but advertisements lack relevance and effectiveness

Engineering Contradiction:

Improveplacement process complexityVSAvoidadvertisement relevance

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The system employs automated computer vision analysis and machine learning algorithms to independently analyze content context, identify objects and scenes, and select appropriate product placements without manual intervention. This self-service capability maintains process simplicity while achieving high adaptability and relevance through intelligent context understanding

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts product placement parameters based on analyzed content characteristics, including selecting products that match scene semantics, adjusting placement positions based on visual composition, and modifying ad content to fit contextual tone. These parameter changes enable high adaptability while maintaining automated operation

Inventive Principle:

Principle #35Parameter changes

3Reliability

If product placements are made to appear natural in content, then user engagement increases, but the augmentation process becomes more complex

Engineering Contradiction:

Improveuser engagementVSAvoidcontent augmentation complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces manual, mechanical product placement processes with automated computer vision and AI-based systems. These systems automatically analyze content semantics, identify natural placement locations, and integrate products seamlessly, reducing operational complexity while achieving natural-looking advertisements that enhance user engagement

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10575067B2Context based augmented advertisement

Publication Date: 2020.02.25 SAMSUNG ELECTRONICS CO LTD

AI summary

One embodiment provides a method comprising analyzing one or more frames of a piece of content to determine a context of the one or more frames, determining a product to advertise in the piece of content based on the context, and augmenting the piece of content with a product placement for the product. The product placement appears to occur naturally in the piece of content.