Automated Ad Insertion via Black Frame Detection in Streaming Video

Solution Overview

Problem

Monetizing on-demand streaming content is challenging due to the manual and time-consuming process of inserting advertisements, which is expensive and prone to errors, as content providers need to manually tag video frames for ad insertion points.

Innovation Solution

A system and method that automatically detect sequential black frames in streaming content to register potential ad insertion points without user input, allowing for real-time ad insertion during playback, using a server system that scans for black frames and pauses video content to stream advertisements before resuming playback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual tagging of video frames is used to identify ad insertion points, then ad insertion can be performed, but the process becomes time-consuming and expensive

Engineering Contradiction:

Improvead insertion accuracyVSAvoidtime for manual tagging

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs self-service by automatically detecting black frames and determining ad insertion points without requiring manual operator intervention. The server system autonomously analyzes video content, identifies sequential black frames, and registers insertion points based on predefined criteria, eliminating the need for human operators to manually tag frames while maintaining reliable ad insertion accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of operators viewing and tagging video frames is replaced with an automated digital detection system. The server system uses algorithmic analysis to detect black frames and determine insertion points, substituting human manual labor with automated computational processes that are both faster and equally accurate

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual tagging of video frames is used to identify ad insertion points, then ad insertion can be performed, but the process becomes expensive

Engineering Contradiction:

Improvead insertion accuracyVSAvoidcost of ad insertion process

Core Design Contradiction:

ReliabilityVSEase of manufacture

Solution Approach 1:

The system performs self-service by automatically detecting black frames and determining ad insertion points without requiring manual operator intervention. The server system autonomously analyzes video content, identifies sequential black frames, and registers insertion points based on predefined criteria, eliminating the need for human operators to manually tag frames while maintaining reliable ad insertion accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of operators viewing and tagging video frames is replaced with an automated digital detection system. The server system uses algorithmic analysis to detect black frames and determine insertion points, substituting human manual labor with automated computational processes that are both faster and equally accurate

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If manual tagging of video frames is used to identify ad insertion points, then ad insertion can be performed, but errors are more likely to occur

Engineering Contradiction:

Improvead insertion efficiencyVSAvoidad insertion accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs self-service by automatically detecting black frames and determining ad insertion points without requiring manual operator intervention. The server system autonomously analyzes video content, identifies sequential black frames, and registers insertion points based on predefined criteria, eliminating the need for human operators to manually tag frames while maintaining reliable ad insertion accuracy

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms where the server continuously monitors video frame sequences, detects black frames according to predefined criteria, and adjusts insertion point registration based on the detected patterns. This automated feedback loop ensures consistent and accurate ad insertion point identification without human error

Inventive Principle:

Principle #23Feedback

Data Source

PatentEP3479589B1Systems and methods for stitching advertisements in streaming content

Publication Date: 2023.07.05 SNIFFERCAT INC

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AI summary

Systems and methods for stitching advertisements in streaming content. In some embodiments, a method comprises receiving one or more advertisements. An unmarked content item may be received, the unmarked content item comprising a stream-enabled video including a set of sequential black frames. An insertion point may be identified based on a location of at least one black frame of the set of sequential black frames without requiring user input, the insertion point identified during streaming of the unmarked content item to a consumer system, the insertion point being ahead of a current playback point. The one or more advertisements may be stitched in the unmarked content item at the insertion point. The unmarked content item may be streamed to a consumer system until the insertion point is reached, and the one or more advertisements may be streamed to the consumer system when the insertion point is reached.