Selfie Integration Into Stock Video Frames
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Solution Overview
Problem
Current messaging applications lack the ability to seamlessly integrate self-images with stock videos for personalized video creation, limiting user engagement and creativity in media sharing.
Innovation Solution
A system and method that allows users to select and insert their self-image into stock videos, with facial image detection and adjustment features, enabling multi-person videos and customizable options like text overlays and filters, using a cloud-based messenger service to manage user profiles and permissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users want to create personalized videos with self-images integrated into stock videos, then user engagement and creativity are enhanced, but the system complexity and processing requirements increase significantly
Solution Approach 1:
The system segments the video creation process into distinct modules: stock video selection, selfie capture/upload, facial feature detection, mask generation, and video composition. Each module handles a specific task independently, allowing the complex personalization process to be managed through modular components rather than a monolithic system.
Solution Approach 2:
The patent introduces intermediary elements such as face masks and blending modes that mediate between the selfie and the stock video. These intermediaries facilitate the integration process by providing a structured method to combine the user's facial image with the stock video background, handling the complexity of image fusion automatically.
2Manufacturing precision
If the system integrates facial image detection and adjustment features, then video personalization quality improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-detecting facial features from the selfie before integrating it into the stock video. Facial landmarks, contours, and key points are identified in advance, allowing for faster and more accurate integration during the video composition phase rather than performing detection during real-time rendering.
Solution Approach 2:
The patent creates a copied representation of the user's facial image through generated face masks that replicate the user's facial structure and features. These masks are then applied to the stock video, allowing high-quality facial integration without requiring complex real-time processing of the original selfie during video playback.
3Adaptability or versatility
If the system supports multi-person videos with permission management, then user collaboration and creativity are enhanced, but system complexity and permission verification overhead increase
Solution Approach 1:
The system implements a universal permission framework that handles both single-person and multi-person video scenarios through the same interface and logic. The permission management system is designed to work consistently whether one user or multiple users are involved, allowing the system to support multi-person videos without requiring separate complex verification pathways for different user scenarios.
4Adaptability or versatility
If users are provided with customization options like text overlays and filters, then user engagement and creativity are enhanced, but the number of processing operations and system load increase
Solution Approach 1:
The system implements partial customization by allowing users to select from predefined filters, text overlays, and effects rather than requiring full custom design capabilities. This approach provides sufficient creative flexibility for most users while avoiding the computational overhead of complete free-form customization tools, maintaining processing efficiency while still enhancing user engagement.
Data Source
AI summary
A method is provided that includes displaying, by a computing device, representations of a plurality of stock videos to a user. The representations are at a still image, a partial clip, and/or a full play of the stock video. Each of the representations include a face outline for insertion of a facial image of a user. When the user has provided a self-image to the computing device, the facial image of the user is inserted in the face outline of the representations. The facial image is extracted from the self-image. The method may include receiving a selection of one of the representations of the plurality of stock videos, and displaying a personalized video including a selected stock video with the facial image positioned within a further face outline corresponding to the face outline of the selected representation.