Supplemental Content Timing via Scene Metadata Analysis
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Solution Overview
Problem
Existing media distribution systems often provide supplemental content at sub-optimal times, disrupting the user experience by interrupting important scenes or failing to engage users when they are uninterested, leading to frustration and wasted resources.
Innovation Solution
Systems and methods that analyze metadata and audiovisual attributes to determine the optimal time for displaying supplemental content, such as after a pivotal scene concludes, to avoid disruption and maximize user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If supplemental content is provided during important scenes of the media asset, then user engagement with supplemental content is improved, but the viewing experience is disrupted and user frustration increases
Solution Approach 1:
The system performs preliminary analysis of the media asset to identify scene importance and determines the optimal timing for supplemental content delivery before actually presenting it. By analyzing metadata and audiovisual attributes in advance, the system can schedule supplemental content to be displayed after important scenes conclude, ensuring user engagement while avoiding disruption to critical viewing moments.
2Productivity
If supplemental content is provided at sub-optimal times when users are uninterested, then resource utilization is improved, but user engagement with supplemental content decreases
Solution Approach 1:
The system continuously monitors user engagement metrics and adjusts the timing and delivery of supplemental content based on real-time feedback. By analyzing user interaction patterns, attention span, and engagement levels, the system can dynamically determine when supplemental content is most likely to be received and adjust its delivery timing accordingly, optimizing both resource utilization and user engagement.
3Productivity
If supplemental content is provided throughout the media asset presentation, then content provider resource utilization is improved, but user frustration increases and media asset consumption decreases
Solution Approach 1:
The system segments the media asset into distinct scenes and identifies which scenes are most important based on metadata and audiovisual analysis. By dividing the content into segments and selectively providing supplemental content only after identified important scenes, the system optimizes resource utilization while maintaining user experience. This segmentation approach allows targeted delivery rather than continuous bombardment of supplemental content.
Data Source
AI summary
Systems and methods are described for generating for display identified supplemental content relevant to metadata of a particular scene of a media asset. The systems and methods may identify metadata of the media asset corresponding to the time of the particular scene, identify supplemental content relevant to the metadata of the particular scene, and determine the particular scene of the media asset has concluded. In response to determining the particular scene of the media asset has concluded, the identified supplemental content relevant to the metadata of the particular scene may be generated for display.


