Real-Time Video Generation System Using Mood-Based Media Selection
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Solution Overview
Problem
Conventional video creation methods require rendering or processing of media content items after modifications, leading to inefficiencies and inconvenience for users.
Innovation Solution
A system and method for dynamically generating videos in real-time based on selected media content items and mood indications, including identifying a soundtrack and applying visual effects, allowing for immediate modification and playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video content is rendered prior to user viewing under conventional approaches, then the video content can be properly processed and displayed, but the user experience is reduced due to inconvenience and inefficiency when modifications are needed
Solution Approach 1:
The patent implements dynamic video generation where the video content is not statically rendered beforehand but is dynamically assembled in real-time based on user selections and mood indications. The system allows users to modify media content items and mood selections, with the video automatically regenerating without requiring traditional rendering processes, thus enabling flexible, on-demand customization.
Solution Approach 2:
The system enables users to self-serve by selecting their own media content items and mood indications to generate personalized videos. The automated real-time generation process eliminates the need for professional video editing services or complex rendering workflows, allowing users to create and modify videos independently without technical expertise.
2Adaptability or versatility
If video content is edited or modified under conventional approaches, then the user can customize the content, but the edited content must be rendered again before viewing which creates inefficiency
Solution Approach 1:
The system transitions from static pre-rendered videos to dynamic real-time generation. Users can modify media content items and mood indications at any time, and the video automatically regenerates by selecting and assembling the updated content based on the current selections, eliminating the need for repeated rendering cycles.
Solution Approach 2:
The system performs preliminary organization and tagging of media content items with mood indications during ingestion. This preprocessing allows the system to quickly assemble videos by selecting pre-tagged content that matches user selections, eliminating the need for time-consuming rendering and reprocessing when modifications are made.
3Reliability
If traditional video rendering processes are used, then proper video processing is achieved, but the process is inconvenient and inefficient for real-time modification and playback
Solution Approach 1:
The system performs preliminary analysis and tagging of media content items with mood indications during the ingestion phase. This upfront processing organizes content into categories (happy, sad, angry, surprised, etc.) and extracts key features, enabling rapid retrieval and assembly during video generation without requiring heavy rendering operations at playback time.
Solution Approach 2:
The patent replaces traditional mechanical video rendering processes with an intelligent selection and assembly system. Instead of rendering entire video sequences from scratch, the system uses automated selection algorithms to choose media content items based on mood indications and assembles them through efficient compositing operations, dramatically reducing processing time while maintaining quality.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can acquire a set of media content items. A mood indication can be acquired. A soundtrack can be identified based on the mood indication. A video content item can be dynamically generated in real-time based on the set of media content items and the mood indication. The video content item can include the soundtrack.