Motion Synthesizing Unit for Audio-Visual Motion Effects
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Solution Overview
Problem
Conventional automatic authoring algorithms in gaming fail to effectively incorporate audio-visual events into motion effects, resulting in low immersion levels for game players.
Innovation Solution
A device and method that analyze content in real-time to generate motion effects by synthesizing movements detected in video with sound events, using detectors and a motion synthesizing unit to convert these into motion commands for a motion platform, incorporating semantic segmentation and sound source localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional automatic authoring algorithms are used, then the system operation is simple, but audio-visual events are not reflected in motion effects resulting in low immersion level
Solution Approach 1:
The system segments the content analysis into multiple specialized detectors: a first detector for video movement analysis, a second detector for audio event detection, and a motion synthesizing unit for integrating both inputs. This segmentation allows each component to focus on specific aspects of content analysis, improving immersion through comprehensive audio-visual event detection while managing system complexity through modular design
Solution Approach 2:
The motion synthesizing unit serves multiple functions: it synthesizes motion from video events, incorporates audio events, generates motion commands, and adapts to different content types. This multi-functionality improves immersion by handling diverse audio-visual events through a single integrated system, reducing the need for separate specialized systems
2Reliability
If real-time analysis of content is performed to generate motion effects, then user immersion is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary detection of movement in video frames and sound events in audio streams before synthesizing motion effects. By pre-identifying relevant events and their characteristics, the system reduces the computational burden during the motion synthesis phase, enabling real-time processing while maintaining high immersion through comprehensive event detection
Solution Approach 2:
The motion synthesizing unit selectively processes only the detected movement and sound events rather than analyzing all content data. This selective processing skips unnecessary computational steps, reducing processing time while still capturing all relevant audio-visual events needed for immersive motion effects
3Measurement precision
If multiple detectors and synthesis units are used to analyze both video and audio, then motion effects accuracy is improved, but device complexity increases
Solution Approach 1:
The system divides the detection task into specialized detectors: video movement detection handles visual events while audio event detection handles sound events. This segmentation improves measurement precision by allowing each detector to optimize for its specific modality, while the modular structure manages complexity through clear separation of functions
Solution Approach 2:
The motion synthesizing unit merges the outputs from the video detector and audio detector into a unified motion command. This merging integrates information from both modalities to improve motion effect accuracy, while consolidating the synthesis function into a single unit helps manage the overall system complexity
Data Source
AI summary
Provided is a device for providing motion effects, the device including a first detector configured to detect a movement of a specific object in a video of a content; a second detector configured to detect a sound event from an audio of the content; and a motion synthesizing unit configured to generate a synthesized motion by synthesizing a first motion corresponding to the movement of the specific object and a second motion generated based on the sound event.