Media Asset Qualification Using Streaming Overlap Filtering

Solution Overview

Problem

Existing media monitoring systems face challenges in efficiently crediting media assets, particularly for non-linear media, due to the lack of consistent media identifiers and unpredictable tuning periods, leading to increased computational burden and difficulty in qualifying reference media assets.

Innovation Solution

A central facility maintains a media reference database and filters candidate media assets based on streaming periods to reduce computational burden, crediting media assets with identifiers and comparing them to reference assets, while ignoring those without streaming overlaps to enhance efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If all media assets are processed for qualification, then media asset qualification accuracy is improved, but computational burden and processing time increase

Engineering Contradiction:

Improvemedia asset qualification accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary filtering of media assets based on streaming period overlap before conducting full qualification processing. By pre-identifying candidate assets that have streaming overlaps with reference media, the system reduces the set of assets requiring computationally intensive qualification analysis, thereby maintaining accuracy while reducing processing time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The qualification process is segmented into multiple stages: (1) identification of streaming periods, (2) filtering of candidate media assets based on streaming overlaps, (3) detailed qualification analysis of filtered candidates, and (4) crediting decisions. This segmentation allows the system to apply different processing depths to different asset groups, optimizing the balance between accuracy and computational efficiency

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If all media assets are processed for qualification, then media asset qualification accuracy is improved, but processing cycles and bandwidth consumption increase

Engineering Contradiction:

Improvemedia asset qualification accuracyVSAvoidprocessing cycles

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system performs preliminary filtering of media assets based on streaming period overlap before conducting full qualification processing. By pre-identifying candidate assets that have streaming overlaps with reference media, the system reduces the set of assets requiring computationally intensive qualification analysis, thereby maintaining accuracy while reducing processing time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The qualification process is segmented into multiple stages: (1) identification of streaming periods, (2) filtering of candidate media assets based on streaming overlaps, (3) detailed qualification analysis of filtered candidates, and (4) crediting decisions. This segmentation allows the system to apply different processing depths to different asset groups, optimizing the balance between accuracy and computational efficiency

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If comprehensive media asset qualification is performed, then crediting accuracy is improved, but system complexity increases

Engineering Contradiction:

Improvecrediting accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary filtering of media assets based on streaming period overlap before conducting full qualification processing. By pre-identifying candidate assets that have streaming overlaps with reference media, the system reduces the set of assets requiring computationally intensive qualification analysis, thereby maintaining accuracy while reducing processing time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The qualification process is segmented into multiple stages: (1) identification of streaming periods, (2) filtering of candidate media assets based on streaming overlaps, (3) detailed qualification analysis of filtered candidates, and (4) crediting decisions. This segmentation allows the system to apply different processing depths to different asset groups, optimizing the balance between accuracy and computational efficiency

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20260046465A1Methods, apparatus, and articles of manufacture to identify candidates for media asset qualification

Publication Date: 2026.02.12 THE NIELSEN CO (US) LLC

AI summary

Methods, apparatus, systems, and articles of manufacture are disclosed to identify candidates for media asset qualification. Example apparatus disclosed herein include a media creditor to determine whether to credit a first media asset to linear media or non-linear media, the non-linear media including subscription video on demand (SVOD). Disclosed example apparatus also include a media asset candidate controller to: classify the first media asset as a non-candidate for media asset qualification in response to the first media asset being credited to the linear media or the non-linear media. In some examples, the media asset candidate controller is to determine whether to classify the first media asset as a candidate for media asset qualification based on whether the first media asset remains uncredited by the media creditor and the first media asset overlaps a streaming period.