Streaming Server Buffering Preferred Media Sections
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Solution Overview
Problem
Current streaming services are inefficient due to ineffective buffering methods that do not account for user preferences, leading to unnecessary data transmission and reduced user satisfaction.
Innovation Solution
A method and apparatus that collect statistical information from multiple users to determine preferred media sections, allowing for targeted buffering and thumbnail selection that reflects user preferences, enabling efficient data transmission and improved user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If media data is buffered based on current reproduction point, then reproduction continuity is improved, but user satisfaction deteriorates when users jump to preferred sections
Solution Approach 1:
The system performs preliminary buffering of media data at preferred sections identified through statistical analysis of user behavior patterns. By anticipating where users are likely to jump to based on historical data, the system pre-loads these sections, ensuring immediate availability when users navigate to them, thus resolving the contradiction between maintaining continuity and satisfying user preferences.
Solution Approach 2:
The system continuously collects feedback on user reproduction patterns and uses this information to dynamically update the identification of preferred sections. This feedback loop allows the buffering strategy to adapt to changing user preferences over time, maintaining both reproduction continuity and user satisfaction through data-driven optimization.
2Reliability
If buffering is performed for entire media data, then reproduction availability is improved, but network resources and operation costs increase
Solution Approach 1:
The system extracts and identifies only the preferred sections of media data based on statistical analysis of user behavior. Instead of buffering the entire media file, the system selectively buffers only these identified preferred sections, thereby reducing network resource consumption and operational costs while maintaining reproduction availability for the most commonly accessed content.
Solution Approach 2:
The system applies different buffering strategies to different sections of the media data based on their popularity and user preferences. Preferred sections receive intensive buffering and prioritization, while less popular sections are handled differently, optimizing resource allocation to match actual user needs rather than treating all content uniformly.
3Ease of manufacture
If thumbnails are generated from fixed intervals, then generation simplicity is improved, but relevance to user preferences deteriorates
Solution Approach 1:
The system performs preliminary analysis of user reproduction patterns to identify preferred sections before generating thumbnails. By using this advance information, the system can selectively generate and display thumbnails from preferred sections, enhancing relevance to user preferences while maintaining relatively simple generation processes through targeted sampling rather than comprehensive analysis.
Data Source
AI summary
An apparatus and a method for operating a server providing a streaming service are provided. The method includes collecting statistical information regarding media generated by a plurality of users who reproduce the media, determining at least one preferred section of the media based on the statistical information, and transmitting media data regarding the preferred section of the media to User Equipment (UE) reproducing the media regardless of a currently reproduced point.