Personalized Video Assembly via Emotion-Triggered Content Insertion
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Solution Overview
Problem
Current media personalization technologies face challenges in efficiently generating emotionally impactful personalized media content and enhancing social interactions, as they often disrupt synchronization between audio and video portions and lack features for meaningful, private, and timely social interactions.
Innovation Solution
The development of a system that automates the personalization of media content by identifying emotionally impactful moments in media files and integrating personal media content at appropriate times, while also providing a social platform with features like private communication channels, relationship concierges, and time delays to facilitate more meaningful and sincere social interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated personalization is implemented to generate personalized media content, then productivity is improved, but manufacturing precision deteriorates due to potential disruption of audio-video synchronization
Solution Approach 1:
The system performs preliminary actions by pre-identifying emotionally impactful moments in media files and pre-determinining optimal placement locations for personalization content. This advance preparation allows the automated assembly process to simply insert personalization content at predetermined locations, maintaining synchronization without real-time complex processing.
Solution Approach 2:
The media content is segmented into distinct portions: emotionally impactful moments identified from the original media, personalization content slots, and remaining media portions. This segmentation allows independent processing of each segment and simplifies the reassembly process to maintain proper synchronization between audio and video tracks.
2Manufacturing precision
If manual video editing is used to ensure precise composition, then manufacturing precision is improved, but productivity deteriorates due to user involvement in every editing decision
Solution Approach 1:
The system performs self-service by automatically identifying emotionally impactful moments, selecting appropriate personalization content from user repositories, determining optimal placement locations, and assembling the final personalized video without requiring user involvement in these editorial decisions. The user only needs to provide source media and personal content.
Solution Approach 2:
The system uses feedback from emotionally impactful moment identification to guide the automated assembly process. By analyzing the emotional impact characteristics of different media portions, the system determines optimal locations for personalization content insertion, ensuring that personalization enhances rather than disrupts the emotional impact of the original media.
3Adaptability or versatility
If social media platforms enable broad content distribution, then adaptability is improved, but reliability deteriorates due to lack of private and meaningful social interactions
Solution Approach 1:
The system applies local quality by differentiating between public distribution and private interaction contexts. Personalized media content can be selectively shared with specific individuals or groups rather than broad public distribution, allowing users to maintain different levels of privacy and interaction quality for different recipients.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for personalizing media content. Personalization digital media templates can be retrieved that designate (i) particular types of media content to be combined with particular preselected digital video files and (ii) particular times within particular preselected digital video files at which the particular types of media content are to be combined with the particular preselected digital video files, the particular times being relative to the times within the preselected digital video files at which emotionally impactful moments occur. Digital media content can be assembled for the personalized digital video files using particular preselected digital video files, the digital media templates, and the personal digital media file. The assembled digital media content can be encoded using a common video codec to generate the personalized digital video files. The personalized digital video files can be stored and transmitted to a client computing device.