Instrumented Video Player for Audience Behavior Measurement
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Solution Overview
Problem
Current technologies lack effective methods to quantify and understand audience behavior and consumption patterns for Internet video and rich media applications, hindering site owners' ability to optimize their appeal and effectiveness for both users and advertisers.
Innovation Solution
Implementing an end-user video player or rich media application that is instrumented with a usage monitoring API to capture and transmit data to a central server for aggregation and analysis, providing detailed metrics on user and system events, such as views, engagement, and virality, through a service provider infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video players and rich media applications are instrumented with usage monitoring APIs to capture detailed audience behavior data, then measurement precision and understanding of consumption patterns improve, but device complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a service provider infrastructure as an intermediary between the instrumented video players/rich media applications and the customers. This intermediary layer captures, aggregates, and processes usage data centrally, reducing the complexity burden on individual players while enabling comprehensive measurement. The service provider acts as a mediator that handles the complex data collection and analysis tasks.
Solution Approach 2:
The patent extracts the complex data processing and analysis functions from the individual video players and rich media applications, concentrating them in a centralized service provider infrastructure. This separation allows the players to focus on their primary function while the specialized service handles the complex measurement and analysis tasks, reducing overall system complexity.
2Loss of information
If comprehensive usage data is collected and aggregated centrally, then audience engagement insights improve, but data transmission and processing overhead increase
Solution Approach 1:
The patent implements partial data collection by focusing on specific usage events and metrics that are most relevant to audience behavior analysis. Rather than capturing every possible data point, the system selectively monitors key interactions with video content and rich media, reducing transmission overhead while maintaining sufficient information completeness for meaningful insights.
3Reliability
If detailed tracking of user interactions is implemented, then audience understanding improves, but implementation complexity and cost increase
Solution Approach 1:
The patent creates a universal service provider infrastructure that can track multiple types of user interactions across different video players and rich media applications through a common platform. This multi-functional system handles various data collection, aggregation, and analysis tasks through unified mechanisms, reducing implementation complexity compared to deploying separate tracking solutions for each application.
Data Source
AI summary
This disclosure describes methods and systems to quantify and understand the behavior and consumption patterns of audiences with respect to Internet video and rich media applications. In operation, an end user video player or a rich media application (such as an interactive advertisement built with Flash or other method) is instrumented to capture data. The data is collected by a service provider and made available for viewing by customers of a video experience and rich media behavior measurement service.