Space-Aware Video Generation for Collision Avoidance
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Solution Overview
Problem
Existing video products do not consider the space environment of users, leading to potential collisions and abruptness in user experiences, particularly in virtual reality scenarios, due to the lack of integration with the user's physical space.
Innovation Solution
A method for video generation that collects user body and space environment information, determines a required subspace for actions, and generates action prompt information to create videos that harmonize with the user's space environment, avoiding collisions and abruptness by integrating user-specific and environment-specific actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If video content is generated without considering user space environment, then video production complexity is reduced, but user safety deteriorates due to potential collisions
Solution Approach 1:
The system performs preliminary detection of the user's space environment before generating video content. By capturing depth information and identifying obstacles in advance, the system can pre-adjust video content to avoid collisions, rather than reacting after the fact. This resolves the contradiction by adding a preliminary detection step that enables safe video generation without requiring complex real-time adjustments.
Solution Approach 2:
The patent introduces depth information and space environment data as an intermediary between the user and video content. This intermediary layer allows the system to understand the physical space without directly complicating video production. The depth information acts as a mediator that translates physical space into actionable insights for video content adjustment, resolving the contradiction between simplicity and safety.
2Device complexity
If simple reminders or warnings are provided to users about space environment, then implementation complexity is reduced, but user experience deteriorates due to abruptness sense
Solution Approach 1:
Instead of providing reminders or warnings after the user encounters space issues, the system performs preliminary detection of the space environment and adjusts video content in advance. By identifying obstacles and adjusting content before the user reaches problematic areas, the system eliminates abruptness and maintains smooth user experience without requiring complex real-time intervention mechanisms.
Solution Approach 2:
The patent inverts the traditional approach by not telling users what to avoid, but rather automatically adjusting the video content to match the user's actual space. Instead of the user adapting to the video content through warnings, the video content adapts to the user's environment, fundamentally reversing the adaptation direction and eliminating abruptness while keeping implementation relatively simple.
3Object-affected harmful factors
If video content is adjusted to match user space environment, then user safety and experience are improved, but processing complexity increases
Solution Approach 1:
The patent extracts only the critical space environment information needed for safety and experience, rather than processing all environmental data. By selectively extracting depth information and obstacle locations from the full space environment data, the system reduces processing complexity while still achieving effective video content adjustment to prevent collisions and maintain user experience.
Solution Approach 2:
The system applies different processing levels to different regions of the space environment. Instead of uniformly processing the entire environment, it focuses computational resources on areas with obstacles or potential collision risks, while simplifying processing in safe areas. This local quality approach reduces overall processing complexity while maintaining safety where it matters most.
4Reliability
If depth information and space environment data are collected, then collision avoidance capability is improved, but data processing load increases
Solution Approach 1:
The system extracts only the essential features from depth information and space environment data, such as obstacle locations and distances, rather than processing the complete raw datasets. By extracting key spatial parameters and discarding redundant information, the system maintains high collision avoidance capability while significantly reducing data processing load and energy consumption.
Solution Approach 2:
The patent applies partial processing to the collected data, focusing computational effort only on critical regions where obstacles are detected or where the user is moving. Instead of exhaustively processing all depth information, it selectively analyzes relevant portions, achieving adequate collision avoidance capability with reduced processing load compared to exhaustive analysis.
Data Source
AI summary
The disclosure provides a method and apparatus for video generation and a storage medium, and the method includes: collecting user body information and space environment information and generating a space environment image; determining a first subspace required for a next action of the user according to the user body information, the space environment information and standard action information; generating action prompt information according to the user body information, the first subspace and the standard action information; and generating a video corresponding to the action prompt information according to the space environment image, a video key frame corresponding to the standard action information and the action prompt information. The next action of the user is determined considering factors of user body conditions and actual space environment, thus the generated new video can avoid a collision between the user and the space, and no abruptness sense will be brought out, thus the user experience when following the video content is improved.