Context-Aware Ad Insertion Using Visual Object Matching
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Solution Overview
Problem
Existing advertisement insertion technologies lack accuracy and flexibility in selecting relevant advertisements based on the content of program material, leading to inefficient targeted advertising.
Innovation Solution
A computerized system for targeted ad insertion that detects visual and audio objects in a program content stream, matches them to relevant advertisements, and inserts identifiers at appropriate points in the stream for playback, enabling accurate and timely advertisement delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated advertisement insertion is implemented, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The system segments the advertisement insertion process into distinct phases: initial image detection during content playback, object recognition and matching, and subsequent advertisement delivery. This segmentation allows real-time processing at critical moments while permitting more comprehensive analysis to occur between ad breaks, resolving the contradiction between speed and accuracy.
Solution Approach 2:
The system performs preliminary object detection and advertisement matching during program content playback, before the actual advertisement insertion point is reached. By preparing advertisement candidates in advance based on detected objects, the system ensures accurate matching while maintaining fast insertion when the ad break occurs.
2Adaptability or versatility
If real-time object detection is performed during content playback, then adaptability is improved, but loss of time increases
Solution Approach 1:
The system performs partial object detection during content playback, focusing only on identifying key objects relevant to advertisement matching, rather than conducting exhaustive analysis. This partial action approach maintains advertisement relevance while minimizing processing time and avoiding excessive computational burden during live playback.
3Reliability
If comprehensive object recognition is performed, then reliability is improved, but device complexity increases
Solution Approach 1:
The system introduces an intermediary advertisement data structure that stores pre-processed object information and matching criteria. This intermediary layer simplifies the complexity of direct object recognition and matching by providing a structured interface between detection algorithms and advertisement selection, maintaining reliability while reducing system complexity.
Data Source
AI summary
A computerized system for targeted ad insertion receives a program content stream and detects images in the content stream. The system recognizes at least one visual object within the images and matches the recognized visual object to an advertisement that correlates with the recognized visual object. The system may then select an advertisement that advertises, correlates to, is directed to or is otherwise relevant to products or services falling under the theme, topic, category of interest and/or relevant viewer demographic and inserts an identifier of the matched advertisement at an insertion point into the program content stream. This enables playback of the matched advertisement during playback of the program content stream at a time that correlates to the insertion point into the program content stream of the identifier of the matched advertisement.