Video Creation System with Gesture Detection and Audio Effects
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Solution Overview
Problem
Current video editing software lacks real-time customization capabilities and interactive features, failing to provide sophisticated tools for users to create engaging videos with gesture detection and effects during recording.
Innovation Solution
A computer-implemented system with a gesture detection subsystem, guessing subsystem, challenge subsystem, tracking subsystem, and music segmentation subsystem that allows users to detect and map gestures to effects, create interactive videos, challenge others, apply audio-based visual effects, and segment music, using a camera, detection module, and interface module for real-time processing and editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional video editing software is used, then basic video editing functions are available, but real-time gesture detection and interactive customization capabilities are missing
Solution Approach 1:
The patent merges video recording, gesture detection, and real-time effect application into a single integrated system. The gesture detection subsystem works concurrently with video recording, allowing users to create videos with gesture-based effects without requiring separate tools or post-processing steps.
Solution Approach 2:
The video creation system performs multiple functions simultaneously: recording video, detecting gestures, applying effects, and enabling social interactions. This multi-functional approach eliminates the need for separate software tools for each task, resolving the contradiction between enhanced adaptability and system complexity.
2Adaptability or versatility
If sophisticated interactive features are added to video editing software, then user creativity and engagement are enhanced, but the software becomes more complex and difficult to operate
Solution Approach 1:
The system automatically detects gestures and applies corresponding effects without requiring manual configuration. The gesture detection subsystem continuously monitors video input and triggers effects based on recognized gestures, eliminating the need for users to program complex interactions and simplifying the user interface.
Solution Approach 2:
The system pre-configures multiple gestures with associated effects in advance. When a user performs a gesture, the corresponding effect is immediately applied based on pre-established mappings, reducing the operational complexity during video creation while maintaining rich interactive capabilities.
3Adaptability or versatility
If real-time gesture detection and effect application are implemented, then video creation becomes more engaging and creative, but processing time and computational resources increase
Solution Approach 1:
The system pre-trains gesture recognition models and pre-configures gesture-effect mappings before video recording begins. This preliminary preparation enables rapid real-time gesture detection and effect application during recording, minimizing processing time while maintaining creative capabilities.
Solution Approach 2:
The system dynamically adjusts processing intensity based on detected gesture activity. When gestures are detected, the system intensifies processing to apply effects; during static periods, processing is reduced, optimizing computational resource usage and minimizing overall processing time.
Data Source
AI summary
A multi-functional computer implemented system for creation of videos with various effects is provided. The computer implemented system of present invention is comprising of: a guessing subsystem that allows user to create and share a video with guessing option for other users to play a guessing game while watching the video; a challenge subsystem to allow users to challenge other users for video battles; a tracking subsystem that allows user to select any specific segment of the video, determines music/audio effect present within that segment and visualizes that music effect in video too; and a gesture detection subsystem that is provided to detect the gesture of the user and perform action associated with detected gesture.