Event-Triggered Content Item Generation to Reduce Irrelevant Transmission
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Solution Overview
Problem
Existing content delivery systems waste network bandwidth, storage resources, and processing power by transmitting and delivering additional content that becomes irrelevant due to the time lag in curation, leading to user discard or skip.
Innovation Solution
Systems and methods for identifying events in content items by monitoring factors such as crowd noise or viewer engagement, generating a second content item based on these events, and providing a user interface element for immediate input and output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional content is curated and transmitted to computing devices, then user engagement is improved, but network bandwidth and storage resources are wasted when content becomes irrelevant
Solution Approach 1:
The system performs preliminary actions by continuously monitoring content items for events before transmission is needed. Event detection occurs proactively during content playback, allowing the system to prepare and transmit relevant additional content immediately when events are detected, rather than waiting for user requests or using fixed scheduling.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring content items for events and using this information to dynamically control content transmission. The monitoring system provides real-time feedback about event occurrences, which triggers selective transmission of additional content only when relevant events are detected, avoiding waste of network resources on irrelevant content.
2Productivity
If additional content is curated and transmitted to computing devices, then user engagement is improved, but processing resources are wasted when content becomes irrelevant
Solution Approach 1:
The system extracts and processes only the essential information needed for event detection from content items. By focusing monitoring efforts on specific event criteria rather than processing all content data comprehensively, the system reduces processing resource consumption while maintaining effective event detection and relevant content delivery.
Solution Approach 2:
The system changes operational parameters dynamically based on detected events. Processing intensity and content transmission parameters are adjusted in real-time according to event detection results, reducing processing resources during normal playback while intensifying processing only when events occur that warrant additional content delivery.
3Loss of information
If content delivery is delayed for curation, then content relevance deteriorates, but resource efficiency improves by avoiding unnecessary transmissions
Solution Approach 1:
The system enables self-service by implementing automated event detection and content selection capabilities. The monitoring system automatically identifies events and triggers appropriate content delivery without requiring manual curation or delayed processing, maintaining content relevance through real-time automated responses while efficiently using network resources.
Data Source
AI summary
Systems and methods are provided for generating a second content item on identifying an event in a first content item. A first content item is received, and the first content item is monitored to identify a change in a factor associated with the first content item. It is determined whether the change in factor is greater than a threshold value. Based on the change in the factor, an event is identified in the first content item. A second content item is generated, wherein the second content item is based on the identified event in the first content item. The first content item and a user interface element are generated for display at a computing device, wherein the user interface element is configured to receive an input and is associated with the second content item. In response to receiving an input, the second content item is generated for output.


