Video Editing System for Memorial Moving Images
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Solution Overview
Problem
Current video editing systems are inefficient in creating memorial moving images for experience-based services, particularly for inbound visitors, as they cannot quickly generate videos of tourists acting like characters due to the difficulty in obtaining and processing original video data in advance.
Innovation Solution
A video editing system that acquires cast attribute data, selects substitute video data based on predetermined shooting patterns, and edits original and substitute video data in chronological order to generate complete videos, reducing the workload on service managers and providing high-quality memorial moving images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If original video data of each foreign tourist is obtained and processed in advance to create memorial moving images, then the quality and personalization of the memorial video is improved, but the workload and time required increases significantly
Solution Approach 1:
The system performs preliminary actions by pre-recording substitute video data for various shooting patterns and storing it in advance. When a tourist participates in the experience event, the system automatically selects and combines the pre-recorded substitute video with the originally shot video to generate the complete memorial video, eliminating the need to process original video data in advance while maintaining high video quality
Solution Approach 2:
The system creates copies by recording substitute video data that replicates the shooting patterns and scenarios. These substitute videos serve as templates that can be automatically selected and combined with original footage, replacing the need to manually process and edit each tourist's original video data while preserving the authentic experience moments
2Ease of operation
If substitute video data is used to replace original video data for cast members, then the workload on service managers is reduced, but the authenticity and quality of the memorial video may be compromised
Solution Approach 1:
The system applies local quality by using substitute video data selectively for specific segments where the cast member's appearance is not critical, while preserving the original video data for key moments where authenticity is important. The video data selection unit intelligently determines which segments to replace based on the shooting pattern and importance, maintaining overall video quality while reducing manual workload
Solution Approach 2:
The system creates high-quality copies of shooting scenarios through substitute video data that replicates the same shooting patterns, angles, and scenarios. These copies are so accurate that they can replace original footage in non-critical segments without compromising overall video quality, while the original footage is preserved for important moments
Data Source
AI summary
A video editing system capable of quickly providing video that an original appears and reducing a workload on a service manager. The video editing system edits multiple pieces of video including original video that a cast oneself appears and substitute video in chronological order to generate complete video. Specifically, the video editing system acquires cast attribute data indicating a cast attribute, acquires original video data indicating the original video shot by a shooting apparatus, and selects substitute video data in a predetermined shooting pattern from multiple shooting patterns based on the cast attribute indicated by the cast attribute data. Moreover, the video editing system edits the original video indicated by the original video data and the substitute video indicated by the selected substitute video data in chronological order to generate complete video data indicating the complete video.