Content-Aware Media Editing for Automated Ad Placement

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Solution Overview

Problem

Content creators face the burden of manually inserting pre-generated content, such as advertisements, into media data, which is inefficient and time-consuming, and there is a need for a seamless and robust system to automate this process.

Innovation Solution

A method and system that analyzes media data to identify optimal candidate locations for inserting pre-generated content, such as advertisements, using predetermined rules and algorithms, and automatically inserts or removes content based on these locations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual insertion of pre-generated content is used, then content creators have control over placement, but the process is time-consuming and inefficient

Engineering Contradiction:

Improvecontent creation efficiencyVSAvoidautomated content insertion

Core Design Contradiction:

ProductivityVSExtent of automation

Solution Approach 1:

The system automatically analyzes media data, identifies candidate locations for content insertion, and performs the insertion without requiring manual intervention from content creators. The system serves itself by autonomously completing the entire workflow from analysis to execution.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary analysis of media data to identify suitable candidate locations for content insertion before the actual insertion takes place. This advance preparation enables efficient automated insertion while maintaining quality control.

Inventive Principle:

Principle #10Preliminary action

2Productivity

If automated content insertion is implemented, then productivity increases, but the system complexity increases

Engineering Contradiction:

Improvecontent creation efficiencyVSAvoidediting system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated editing system is divided into distinct functional modules: media data analysis module, candidate location identification module, and content insertion module. Each module handles a specific aspect of the process, making the overall complex system manageable and maintainable through clear separation of concerns.

Inventive Principle:

Principle #1Segmentation

3Ease of manufacture

If content is inserted at arbitrary locations, then insertion is simple, but the original content quality is compromised

Engineering Contradiction:

Improvecontent insertion simplicityVSAvoidcontent integration quality

Core Design Contradiction:

Ease of manufactureVSManufacturing precision

Solution Approach 1:

The system identifies specific candidate locations within the media data that are locally suitable for content insertion based on content characteristics, temporal boundaries, and structural features. Each location is evaluated individually to ensure the insertion maintains the quality and integrity of the original content.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12462847B1Systems and methods for automatically editing media data

Publication Date: 2025.11.04 HIGHER PIXELS INC DBA BUZZSPROUT

AI summary

A method for editing computerized data includes determining media data to be edited. The method also includes analyzing the media data to determine one or more candidate locations in the media data for editing. Analyzing the media data includes identifying the one or more candidate locations based on at least one content of the media data. The method includes determining at least one item of pre-generated content to be inserted into the media data. Additionally, the method includes selecting at least one of the one or more candidate locations. The method includes inserting the at least one item of pre-generated content into the media data at the at least one of the one or more candidate locations.