Time-Based Video Content Presentation Triggering
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Solution Overview
Problem
Existing online advertising systems fail to effectively target advertisements to specific moments within video content, leading to suboptimal engagement and revenue generation for advertisers.
Innovation Solution
A system that tracks the passage of time from the start of video playback and triggers the presentation of sponsored content items based on pre-defined time marks associated with relevant keywords, ensuring that advertisements are displayed at precise moments within the video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisements are targeted to specific time marks within video content based on keywords, then advertisement relevance and engagement are improved, but system complexity increases due to time tracking and trigger mechanism implementation
Solution Approach 1:
Time marks and associated keyword triggers are pre-defined and stored in a database before video playback begins. This allows the system to simply compare current playback time against pre-stored time marks without complex real-time analysis, resolving the contradiction by preparing advertising parameters in advance rather than computing them during playback.
Solution Approach 2:
The video content is divided into discrete time segments with specific time marks assigned to different content portions. Each time mark is associated with specific keywords and trigger conditions. This segmentation allows the system to target advertisements to specific content segments without needing to analyze the entire video continuously, reducing computational complexity while maintaining high relevance.
2Measurement precision
If advertisement presentation is triggered by tracking passage of time from video playback start, then advertisement timing precision is improved, but information processing requirements increase
Solution Approach 1:
Time marks representing specific points in video playback are pre-calculated and stored in advance. The system only needs to compare the current playback time counter against these pre-stored time marks to determine when to trigger advertisements. This approach achieves precise timing without requiring complex real-time information processing about video content analysis.
3Reliability
If multiple time marks with associated keywords are stored and monitored, then advertisement targeting accuracy is improved, but memory and storage requirements increase
Solution Approach 1:
The advertising data is segmented into discrete time mark entries, where each entry contains a time mark value, associated keywords, and trigger conditions. This structured segmentation allows efficient storage and quick retrieval based on time mark comparisons during playback, optimizing the balance between targeting accuracy and storage requirements.
Data Source
AI summary
Techniques are described for temporally targeted content placement for video content. A time mark that is associated with a sponsored-content trigger may be accessed. Presentation of a sponsored-content item is triggered based on the sponsored-content trigger associated with the time mark such that the sponsored-content item is presented at a point of time substantially in accordance with the time mark.