Collaborative Video Stitching for Multi-Contributor Editing Automation
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Solution Overview
Problem
Existing video creation methods require manual editing efforts and are cumbersome for collaborative video projects, making it difficult to easily capture and share meaningful moments or sentiments with others.
Innovation Solution
A server-based system that automatically stitches videos from multiple contributors into a single collaborative video, allowing users to easily plan, record, and upload videos through mobile applications, with the server handling the stitching process without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual video editing is used to create collaborative videos, then video quality and customization can be improved, but the complexity and time required for creation increases significantly
Solution Approach 1:
The system enables self-service automated video stitching where the server automatically processes and combines videos from multiple contributors without requiring manual editing intervention. The automated stitching algorithm handles video alignment, transitions, and compilation independently, eliminating the need for manual editing while maintaining acceptable video quality.
Solution Approach 2:
The patent replaces the mechanical manual editing process with an automated computational system. The server executes automated stitching algorithms that process video files, perform alignment based on metadata or content analysis, and generate the final collaborative video automatically, substituting human editing labor with machine-based automation.
2Manufacturing precision
If manual video editing is used for collaborative videos, then customization and quality can be improved, but the time and effort required increases
Solution Approach 1:
The system enables self-service automated video stitching where the server automatically processes and combines videos from multiple contributors without requiring manual editing intervention. The automated stitching algorithm handles video alignment, transitions, and compilation independently, eliminating the need for manual editing while maintaining acceptable video quality.
Solution Approach 2:
Contributors perform preliminary actions by recording and uploading their individual videos with proper metadata (timestamps, location data, etc.) before the automated stitching process. This preliminary preparation of standardized video inputs enables the server to perform rapid automated compilation without requiring time-consuming manual editing afterward.
3Ease of operation
If automated video stitching is implemented, then ease of operation and speed can be improved, but manual control and customization may be reduced
Solution Approach 1:
The server acts as an intermediary between contributors and the final collaborative video. It receives standardized video inputs from multiple users, applies automated stitching algorithms, and delivers the compiled result. This intermediary automation layer simplifies the user experience while managing the complexity of coordinating multiple video sources, alignment, and compilation in the background.
Solution Approach 2:
The automated stitching system utilizes parameter changes in video metadata (timestamps, GPS coordinates, duration) to automatically determine the sequence and timing of video clips. By changing and analyzing these parameters, the system achieves automated synchronization and ordering of contributor videos without manual intervention, balancing ease of operation with systematic control.
4Quantity of substance
If multiple videos are combined into a single collaborative video, then the quantity of perspectives captured increases, but the complexity of managing and organizing videos increases
Solution Approach 1:
The system segments the collaborative video creation process into independent contributor uploads and centralized server compilation. Each contributor independently uploads their video segment with metadata, and the server segments the processing task by individually analyzing each upload's metadata to determine placement in the final sequence, thereby managing complexity through systematic segmentation of both input and processing.
Solution Approach 2:
The server acts as an intermediary between contributors and the final collaborative video. It receives standardized video inputs from multiple users, applies automated stitching algorithms, and delivers the compiled result. This intermediary automation layer simplifies the user experience while managing the complexity of coordinating multiple video sources, alignment, and compilation in the background.
Data Source
AI summary
Methods and systems of creating a collaborative video for a recipient are disclosed. A video stitching server may receive a collaborative video request from a collaborative video application running on an initiator's mobile device. The video stitching server may store the collaborative video request in a folder that has an identifier. The identifier may be provided to potential contributors. The video stitching server may receive contributor video information—including contributor videos and the identifier—from contributors' collaborative video applications and may store the contributor videos in the folder based on the identifier. The video stitching server may then stitch together at least two videos stored in the folder to create a collaborative video and may deliver the collaborative video to the collaborative video application miming on a recipient's mobile device.