Advertisement Detecting Engine for Embedded Media Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods struggle to detect and credit advertisements embedded in online media, especially when they are integrated into the primary media, making it difficult for audience measurement entities to accurately identify and report on ad exposure due to the increased difficulty in distinguishing advertisements from other media features.
Innovation Solution
The implementation of an advertisement detecting engine that analyzes event notifications and media features to identify embedded advertisements by correlating temporal locations of event notifications with media features, such as scene changes and audio silences, and uses signature-based identification to confirm the presence of ads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are embedded into online media to increase monetization, then revenue generation is improved, but the difficulty of detecting and measuring advertisements increases
Solution Approach 1:
The patent introduces an audience measurement entity as an intermediary between the online media provider and advertisers. This entity operates an advertisement detecting engine that automatically identifies embedded advertisements by analyzing event notifications and media features, thereby solving the detection difficulty while preserving monetization benefits
Solution Approach 2:
The patent replaces manual advertisement identification with an automated electronic system. The advertisement detecting engine uses computer-based analysis of event notifications, scene changes, and audio features to automatically detect and credit advertisements, eliminating the need for manual review processes
2Ease of operation
If advertisements are integrated into primary media to enhance user experience, then user engagement is improved, but measurement precision of ad exposure deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the advertisement detecting engine continuously monitors event notifications and media features, compares them against known advertisement signatures, and provides accurate exposure measurements back to the audience measurement entity for reporting and credit allocation
Solution Approach 2:
The patent performs preliminary analysis by extracting and analyzing event notifications and media features before making advertisement identification decisions. This preliminary action enables accurate detection by preparing the data foundation needed for precise measurement
Data Source
AI summary
Example methods and apparatus disclosed herein detect advertisements embedded in online media. An example apparatus includes memory, computer readable instructions, and processor circuitry to execute the computer readable instructions to render a graphical representation of progress associated with presentation of primary media distributed by an online media provider to a consumer device, the primary media including an event notification, the graphical representation to have a length and to depict the event notification at a location on the graphical representation. The example apparatus also includes processor circuitry to execute the computer readable instructions to determine a first time associated with the event notification based on the length of the graphical representation and the location of the event notification and determine a second time associated with a media feature of the primary media.