Video Segment Highlighting for Related Content Navigation
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Solution Overview
Problem
Existing media streaming platforms require users to manually browse and search through multiple media content items to find relevant portions related to their interests, leading to inefficient use of network bandwidth and processing resources due to discarded irrelevant content.
Innovation Solution
Systems and methods that dynamically identify and highlight relevant portions of media content items based on keywords, allowing users to jump directly to these portions upon selection, reducing the need for manual searching and minimizing redundant content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually browse through multiple media content items to find relevant portions, then users can find detailed explanations of topics they are interested in, but network bandwidth and processing resources are wasted due to delivery of irrelevant content
Solution Approach 1:
The system performs preliminary analysis of media content items to generate topic summaries and identify key topics before users request content. This allows the system to pre-process and organize content metadata, so that when a user requests related content, the system can immediately provide relevant portions without requiring users to manually browse through irrelevant content, thereby preventing waste of network bandwidth and processing resources.
Solution Approach 2:
The system introduces an intermediary layer (topic summary generation and content analysis system) between the user and the media content items. This intermediary analyzes the content, identifies key topics, and presents summarized information to users, enabling users to find relevant content efficiently without directly consuming irrelevant content, thus reducing network bandwidth and processing resource waste.
2Loss of information
If users manually browse through multiple media content items, then users can find detailed explanations of topics, but the time required to find relevant content increases significantly
Solution Approach 1:
The system performs preliminary analysis of media content items to generate topic summaries and identify key topics before users request content. This allows the system to pre-process and organize content metadata, so that when a user requests related content, the system can immediately provide relevant portions without requiring users to manually browse through irrelevant content, thereby preventing waste of network bandwidth and processing resources.
Solution Approach 2:
The system introduces an intermediary layer (topic summary generation and content analysis system) between the user and the media content items. This intermediary analyzes the content, identifies key topics, and presents summarized information to users, enabling users to find relevant content efficiently without directly consuming irrelevant content, thus reducing network bandwidth and processing resource waste.
3Adaptability or versatility
If the media player provides options for related media content items, then users have access to additional relevant content, but the user interface complexity increases requiring more browsing and selection actions
Solution Approach 1:
The system extracts and highlights only the most relevant portions of related media content items based on topic analysis, rather than presenting entire content items or requiring users to browse through all related content. By extracting and presenting only the relevant segments with clear topic indicators, the system reduces user interface complexity while maintaining adaptability and versatility in content recommendation.
4Loss of information
If users select and watch multiple media content items to find relevant portions, then users can find detailed explanations of topics, but the number of user interface requests and resource consumption increases
Solution Approach 1:
The system performs preliminary analysis of media content items to generate topic summaries and identify key topics before users request content. This allows the system to pre-process and organize content metadata, so that when a user requests related content, the system can immediately provide relevant portions without requiring users to manually browse through irrelevant content, thereby preventing waste of network bandwidth and processing resources.
Solution Approach 2:
The system extracts and highlights only the most relevant portions of related media content items based on topic analysis, rather than presenting entire content items or requiring users to browse through all related content. By extracting and presenting only the relevant segments with clear topic indicators, the system reduces user interface complexity while maintaining adaptability and versatility in content recommendation.
Data Source
AI summary
Systems and methods are provided for identifying related media content items. First media content item is outputted on a device. A user interface input requesting media content related to the first media content item is received. Metadata is accessed for a portion of the first media content item within a predetermined time period away from a pause position of the first media content item to identify topic keyword. An offer to interrupt the first media content item to output content related to the topic keyword is displayed. In response to offer's acceptance, a portion of an identified related media content item that is associated with the identified topic keyword is identified. The portion of the identified related media content item is transmitted for display while the media content is paused. The device then resumes displaying the media content item.


