Interactive Video Object Deformation via Motion Sensing
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Solution Overview
Problem
Current motion sensing technologies are limited to graphic-based game input devices and lack innovative methods for producing and appreciating interactive videos that utilize natural user motion, especially in fields like music and health videos.
Innovation Solution
A video object detecting and deforming apparatus that retrieves and tracks user motion from sensing images, calculates similarity or difference with video objects, and extracts or generates frames for interactive video processing, enabling user-controlled video reproduction and posture correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If motion sensing technology is used for interactive video control, then user interaction capability is improved, but the technology is currently limited to graphic-based game input devices and lacks innovation for natural motion utilization
Solution Approach 1:
The system applies motion sensing technology across multiple video types (music videos, health videos, instructional videos) rather than limiting it to game input devices. The apparatus retrieves and processes natural user motions for various interactive video applications, making the technology universal and multi-functional.
Solution Approach 2:
The patent replaces traditional graphic-based game input devices with a motion sensing system that captures natural body movements. The sensing apparatus detects real-world physical motions and translates them into video control commands, substituting mechanical input devices with a more natural sensing mechanism.
2Adaptability or versatility
If video objects are retrieved and deformed based on user motion, then interactive video production is enabled, but computational processing complexity increases
Solution Approach 1:
The system performs preliminary actions by retrieving and preprocessing video objects before they are needed for interaction. The apparatus pre-loads video content and prepares it for deformation based on user motion, reducing real-time computational complexity during actual interaction.
Solution Approach 2:
The patent segments the video processing into distinct modules: motion sensing, object retrieval, similarity calculation, and frame extraction. This segmentation allows each component to be optimized independently, managing overall computational complexity through modular architecture.
3Measurement precision
If similarity calculation is performed between sensing object and video object, then accurate frame extraction is achieved, but processing time increases
Solution Approach 1:
The system performs partial similarity calculations by focusing on key features and control points rather than analyzing entire video frames. The apparatus calculates similarity between sensing objects and video objects at selected key moments, achieving adequate accuracy without excessive processing time.
Solution Approach 2:
The patent extracts only the essential elements needed for similarity comparison - specific control points and key features - rather than processing complete video frames. This extraction approach maintains measurement precision while significantly reducing processing time by working with minimized data sets.
Data Source
AI summary
A video object detecting apparatus enables a user to not only simply watch the video but also to explore a video using a motion and a posture of the user. In addition, the user may manipulate the video using body motion instead of general input units such as a mouse and a touch system. Also, a video object deforming apparatus enables the user to recognize a difference in motions between an interactive video and the user, and provides the user with a video reflecting the difference.