Contextual Clip Delivery for Mid-Stream Live Content Catch-Up
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Solution Overview
Problem
Existing systems fail to provide a solution for users who want to view live broadcast or distribution content in real-time but need to begin viewing at a mid-point, while avoiding exposure to spoiler information about events that have already occurred.
Innovation Solution
A system and method for presenting contextual clips that summarize key events of the content prior to the user's tune-in point, using metadata and real-time analysis to generate and deliver clips that provide context to the viewer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users begin viewing live content at a mid-point, then they can start watching immediately without missing the beginning, but they are exposed to spoiler information about events that have already occurred
Solution Approach 1:
The system segments the live content into discrete events with associated metadata, allowing selective delivery of contextual information. When a user joins at a mid-point, the system identifies and delivers only the relevant prior events as contextual clips, rather than requiring the user to watch from the beginning or risk spoilers from general discussion.
Solution Approach 2:
The system performs preliminary analysis of the live content to identify key events and generate contextual clips in advance. When a user joins the broadcast, these contextual clips are already prepared and can be immediately delivered to provide background context without delaying the user's entry into the content.
2Loss of information
If users watch the entire content from a recording, then they avoid exposure to spoilers, but they lose the real-time viewing experience and social discussion timing
Solution Approach 1:
Instead of requiring users to watch the entire recording from the beginning, the system delivers only the partial content needed - specifically the contextual clips of prior events. This provides just enough information to understand the current broadcast context without the time investment of watching the full recording, enabling real-time viewing while protecting from spoilers.
3Loss of information
If users start viewing from the beginning of recorded content, then they gain complete contextual information, but they waste time watching content they have already missed
Solution Approach 1:
The system extracts only the essential contextual events from the live content stream and delivers them as targeted clips to users who join at a mid-point. This extraction approach removes the unnecessary portions of content that users have already missed, providing only the critical contextual information needed to understand the current broadcast state.
Data Source
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AI summary
Systems and methods for presenting contextual clips for distributed content are disclosed. Some embodiments include receiving an input for presenting content while the content is currently being distributed at a first distribution time point within the content, transmitting a request for contextual content prior to the first distribution time point, receiving information for displaying a plurality of contextual content clips distributed prior to the first distribution time point, wherein each of the plurality of contextual content clips corresponds to an event depicted in the content, displaying the plurality of contextual content clips using the received information, and displaying the content at a second distribution time point after all of the plurality of contextual content clips have been displayed.