Automated Compositing Service for Digital Media Overlays

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Solution Overview

Problem

Existing digital media delivery systems, particularly over-the-top (OTT) platforms, face challenges in scaling personal digital media alterations and compositing custom content due to the need for manual artist intervention and individualized application, which is labor-intensive and difficult to automate.

Innovation Solution

An automated system utilizing an Automated Placement Opportunity Identification (APOI) engine and Placement Insertion Interface (PII) for identifying and integrating visual features, neural networks for object detection, and an automated compositing service that combines base and insert layers with effects to create scalable and customizable digital media overlays.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual artist intervention is used for compositing custom content, then the quality and precision of digital media alterations are improved, but the productivity and scalability of the system deteriorate due to labor-intensive processes

Engineering Contradiction:

Improvecompositing qualityVSAvoidscaling capability

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system enables automated self-service compositing through neural networks that automatically detect placement opportunities, generate composites, and apply effects without requiring manual artist intervention for each customization task

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual process of artists using GUI tools with an automated neural network-based system that performs detection, compositing, and effect application programmatically

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If individualized custom composites are created for each consumer, then the adaptability and personalization of digital media are improved, but the device complexity and operational difficulty increase due to manual identification and application requirements

Engineering Contradiction:

Improvepersonalization capabilityVSAvoidsystem operational complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary automated detection of placement opportunities and generates composite configurations in advance, storing them for automated application based on consumer data without requiring manual identification at execution time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an automated compositing service as an intermediary layer between consumer data and the final personalized content, handling the complex matching and application processes automatically

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If manual identification of composite opportunities is performed, then the measurement precision of placement locations is improved, but the time consumption and loss of time increase significantly

Engineering Contradiction:

Improveplacement detection accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual visual inspection and identification with automated neural network-based detection that analyzes digital content to identify placement opportunities programmatically and rapidly

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system implements continuous automated detection and compositing processes that operate without interruption, processing multiple frames and opportunities in sequence without the breaks inherent in manual workflows

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS10984572B1System and method for integrating realistic effects onto digital composites of digital visual media

Publication Date: 2021.04.20 TRIPLE ELEVATOR

AI summary

A system and method for inserting a composited image or otherwise generated graphic into a selected video by way of a programmatic process. According to some embodiments, a system may comprise an Automated Placement Opportunity Identification (APOI) engine, a Placement Insertion Interface (PII) engine, a preview system, and an automated compositing service. The system finalizes a graphic composite into a video and provides a user with a preview for final export or further manipulation.