Video Packaging Service Dynamic Insertion Points

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Solution Overview

Problem

Traditional content distribution techniques struggle with dynamic insertion of supplemental content, such as advertisements, in video streaming, particularly in live or near-live scenarios, as they rely on manual marker insertion which is not suitable for real-time adjustments.

Innovation Solution

A video packaging and origination service that automatically determines insertion points for supplemental content by analyzing scene changes, activity levels, soundtrack information, and social media feeds, and selects relevant content based on image recognition, textual analysis, and user preferences, enabling dynamic content insertion without manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual marker insertion is used to determine insertion points for supplemental content, then the process is simple to implement, but it cannot adapt to real-time changes in live or near-live video streaming

Engineering Contradiction:

Improveadaptability to real-time changesVSAvoidcomplexity of automatic analysis system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically analyzes video content streams to determine insertion points for supplemental content without requiring manual marker insertion. The automated analysis process includes detecting scene changes, activity levels, and soundtrack information to dynamically identify optimal insertion moments, enabling the system to self-adjust to real-time changes in live or near-live video streaming

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical/manual process of marker insertion with automated computational analysis. Instead of manually marking insertion points in video files, the system uses automated detection algorithms that process video streams in real-time, substituting manual operations with computational mechanisms to achieve dynamic adaptability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automatic analysis of content streams is implemented to determine insertion points, then dynamic adaptation is enabled, but the processing complexity and computational resources required increase

Engineering Contradiction:

Improveefficiency of content insertionVSAvoidcomplexity of processing system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated analysis system processes the video content stream by dividing it into segments or frames for individual analysis. By segmenting the video stream, the system can efficiently detect scene changes, activity levels, and soundtrack information in manageable portions, improving processing efficiency while maintaining comprehensive analysis capability

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system continuously monitors and analyzes the video content stream in real-time, maintaining continuous processing to detect insertion points as they occur. This continuous analysis ensures that the system can dynamically adapt to live or near-live video streaming without interruption, improving productivity through uninterrupted operation

Inventive Principle:

Principle #20Continuity of useful action

3Quantity of substance

If supplemental content is inserted at every detected insertion point, then maximum ad placement opportunities are achieved, but user engagement may be negatively affected due to excessive interruptions

Engineering Contradiction:

Improvequantity of supplemental content insertedVSAvoidnegative impact on user engagement

Core Design Contradiction:

Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The system applies different insertion strategies based on the local characteristics of each detected insertion point. By analyzing the specific context, scene type, and viewer engagement patterns at each location, the system determines the optimal amount and type of supplemental content to insert, ensuring high-quality placement that maximizes ad effectiveness while minimizing negative impact on user engagement

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system incorporates feedback mechanisms that monitor user engagement metrics and adjust insertion strategies accordingly. By analyzing user behavior patterns, viewing habits, and engagement data, the system can optimize the quantity and placement of supplemental content to maximize effectiveness while maintaining positive user experience, allowing dynamic adjustment based on real-time feedback

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12192595B2Automatically processing content streams for insertion points

Publication Date: 2025.01.07 AMAZON TECH INC

AI summary

A video packaging and origination service can process requests for content segments from requesting user devices. The video packaging and origination service can processing video attributes, audio attributes and social media feeds to dynamically determine insertion points for supplemental content. Additionally, the video packaging and origination service can identify supplemental content utilizing the same attribute information.