Video Content Generation Device Synchronizing Action Frames
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Solution Overview
Problem
The challenge lies in efficiently generating highly interesting new video content from vast amounts of past video data, as selecting suitable content is time-consuming and labor-intensive, often resulting in unintended content creation.
Innovation Solution
A content generating device and server that acquire and synchronize video data based on prescribed conditions, identifying starting frames for actions within the videos to combine them into multi-video data, allowing for synchronized playback and streaming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a content creator manually selects video content from a vast amount of past video data, then the selection can be made with human judgment and understanding, but the process becomes time-consuming and laborious
Solution Approach 1:
The system enables automatic selection and combination of video content through AI-based analysis. The content generation device autonomously retrieves past video content, analyzes action timings, and synchronizes multiple videos without human intervention, allowing the system to serve itself in the content creation process while maintaining high selection quality through intelligent algorithms
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated information processing system. Instead of human creators manually browsing and selecting video content, the system uses AI-based action recognition, timestamp analysis, and automatic video retrieval to perform the selection and combination tasks, substituting human labor with intelligent automation
2Productivity
If a content creator uses known content from the past to reduce searching time, then the content creation process becomes faster, but it is unlikely to generate unexpected video content that is completely unintended by the content creator
Solution Approach 1:
The system dynamically adjusts the content selection and combination process based on AI analysis of video content. Rather than relying on static predefined selections, the system adaptively identifies action timings, analyzes video characteristics, and dynamically combines videos to create unexpected and creative content while maintaining high production efficiency through automation
Solution Approach 2:
The system incorporates feedback mechanisms where AI analyzes the characteristics of past video content and uses this information to make intelligent decisions about which videos to retrieve and how to combine them. This feedback loop enables the system to generate creative and unexpected content by learning from the analyzed video data while maintaining efficient automated operation
3Productivity
If multiple video data are combined without synchronized timing, then the content creation process is simpler and faster, but the resulting video content lacks coordination and quality
Solution Approach 1:
The system performs preliminary analysis of video content to identify action timings and key moments before combining the videos. By pre-identifying the synchronization points through AI-based action recognition and timestamp analysis, the system ensures that videos are properly aligned when combined, maintaining high synchronization accuracy while keeping the overall process efficient through automated preliminary processing
Data Source
AI summary
To provide a content generating device, content streaming server, content generating method, and content generating program for generating highly interesting video content. A content generating device according to an embodiment comprises: an acquiring portion for requesting, from an accumulating portion that accumulates a plurality of video data, video data that satisfies a prescribed condition, to acquire a plurality of video data that satisfies the condition; a starting frame identifying portion for identifying starting frames wherein prescribed actions start, in the video playback of the plurality of video data acquired by the acquiring portion; and a generating portion for generating multi-video data by combining a plurality of video data with the timings of the identified starting frames synchronized.