Video Playback System with Relation Chain Editing for Social Interaction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current video media delivery methods lack interaction with users and do not allow for customized content, resulting in inefficient video playback experiences.
Innovation Solution
A method and system that obtain video files and relation chain information, generate editing information, and edit the video files to incorporate social elements such as user IDs, nicknames, and buddy information, enabling interactive video playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional video delivery methods are used, then video content can be delivered to users, but the content cannot be customized for different users and interaction is insufficient
Solution Approach 1:
The system pre-processes video content by segmenting it into multiple clips and organizing them in a database before actual playback. This preliminary preparation enables dynamic customization during playback without requiring complex real-time processing, resolving the contradiction between adaptability and system complexity.
Solution Approach 2:
The video playback system transitions from static pre-defined content to dynamic user-adaptive content selection. During playback, the system dynamically selects and assembles video clips based on user profiles, interaction history, and real-time user actions, enabling customization without permanent system reconfiguration.
2Productivity
If static video content is played, then playback is simple, but user engagement and interaction efficiency are low
Solution Approach 1:
The system implements real-time feedback mechanisms where user interactions (clicks, hovers, watch time) are continuously monitored and fed back to the control logic. This feedback enables dynamic adjustment of video content selection and presentation, improving interaction efficiency while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
The system automatically selects and assembles appropriate video clips based on user profiles and interaction patterns without requiring manual intervention. The playback system serves itself by autonomously making content selection decisions, thereby improving interaction efficiency while keeping the user interface simple and easy to operate.
3Adaptability or versatility
If social elements are incorporated into video content, then user engagement improves, but video processing complexity increases
Solution Approach 1:
The system segments video content into discrete, independently processable clips that can be individually tagged with social metadata (user IDs, interaction types, timestamps). This segmentation allows social elements to be attached to specific segments rather than requiring complex processing of entire video files, reducing processing complexity while maintaining adaptability.
Solution Approach 2:
The system creates composite video structures by combining base video clips with layered social information (user profiles, interaction data, relationship graphs). This composite approach allows social elements to be integrated as separate layers that can be independently processed and rendered, avoiding the need to fundamentally redesign the entire video processing pipeline.
Data Source
AI summary
A video file and relation chain information of the video file are obtained. A video-file editing information is generated with the relation chain information. The video file is edited with the video-file editing information. The edited video file is played.