Collaborative 360° Viewing with Smoothed Follower Navigation
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Solution Overview
Problem
Existing technologies face challenges in enabling seamless collaborative viewing of navigable image content, particularly immersive content, across different display devices and environments, leading to disorientation and discomfort for followers due to quick movements and jittery navigation.
Innovation Solution
A guided collaborative viewing system that generates and processes navigation data to stabilize orientations and smooth transitions, using techniques like image stabilization, time-dilation, and image manipulation to create variant navigation data suitable for followers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If original navigation data is transmitted to followers, then real-time navigation accuracy is maintained, but followers experience disorientation and discomfort due to quick movements and jittery transitions
Solution Approach 1:
The system performs preliminary processing of navigation data to generate stabilized and smoothed variant navigation data before transmission to followers. This preprocessing eliminates quick movements and jittery transitions in advance, allowing followers to experience smooth navigation without disorientation while maintaining synchronization with the leader's viewing path
Solution Approach 2:
The system introduces an intermediary processing layer that transforms original navigation data into variant navigation data. This intermediary process applies stabilization and smoothing algorithms to create a mediating representation that preserves the essential navigation path while removing harmful quick movements and jitter, enabling comfortable follower experience
2Ease of operation
If navigation data is stabilized and smoothed to reduce discomfort, then follower comfort is improved, but navigation responsiveness and real-time accuracy may be reduced
Solution Approach 1:
The system applies partial smoothing and stabilization only to specific aspects of navigation data that cause discomfort (quick movements and jittery transitions), while preserving the overall navigation speed and responsiveness. This selective processing maintains real-time navigation capability while eliminating only the harmful portions that cause follower disorientation
3Reliability
If variant navigation data is generated through stabilization and smoothing techniques, then viewing experience quality is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system extracts only the essential harmful components (quick movements and jittery transitions) from the original navigation data and removes them, while preserving the core navigation path. This extraction approach generates variant navigation data with improved viewing experience without requiring complex full-reprocessing of the entire navigation dataset
Data Source
AI summary
Systems, methods, and devices for providing guided collaborative viewing are described herein. In example implementations, a user navigates navigable image content such as immersive content, 360° video, and the like. During the navigation, navigation data is generated that indicates the orientations of the user's view of the navigable image content. Various techniques are employed to obtain variant navigation data from the navigation data generated during the user's navigation. The techniques used to obtain the variant navigation data include techniques to stabilize the orientations of the user's view and smooth transitions between orientations of the user's view. The variant navigation data is provided to another user in order to enable the other user to follow the navigation of the navigable image content. By using the variant navigation data rather than the original navigation data, following the user's navigation may be more comfortable and less disorienting for the other user.