Context-Based Parameter Selection for 3D Media Playback
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Solution Overview
Problem
Existing media presentation systems, such as head-mounted devices, fail to adequately account for contextual factors like intended viewing environment, user preferences, and physical environment when displaying video content in a 3D setting.
Innovation Solution
The implementation of devices and methods that determine context-based parameters for presenting video content within a 3D environment, considering attributes of the content, user, and environment, such as interpupillary distance, viewing preferences, lighting conditions, and spatial considerations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If media content is displayed without accounting for contextual factors, then device complexity is reduced, but user experience quality and viewing comfort deteriorate
Solution Approach 1:
The system performs preliminary analysis of media content attributes (intended viewing environment, color format, brightness requirements) before playback, and pre-determines appropriate presentation parameters. This allows the system to automatically configure optimal display settings in advance, improving user experience without requiring complex real-time adjustments during playback
Solution Approach 2:
The media player automatically detects contextual factors (device capabilities, environment characteristics, content attributes) and self-configures presentation parameters without user intervention. The system serves itself by making intelligent decisions about brightness, color format, and spatial presentation based on analyzed context, eliminating the need for manual setup while maintaining high quality
2Ease of operation
If context-based parameter selection is implemented, then viewing comfort and immersion are improved, but processing time and computational resources increase
Solution Approach 1:
The system analyzes media content attributes and determines appropriate presentation parameters before playback begins. By performing context analysis and parameter selection in advance, the system avoids time-consuming calculations during actual playback, ensuring both viewing comfort and efficient processing
Solution Approach 2:
The system replaces complex real-time computational adjustments with pre-determined presentation rules and lookup tables based on content attributes. Instead of continuously calculating optimal parameters during playback, the system uses pre-analyzed content metadata and contextual information to directly select from predetermined parameter sets, reducing processing time while maintaining comfort optimization
3Adaptability or versatility
If media content is displayed without considering intended viewing environment, then adaptability is reduced, but system simplicity is maintained
Solution Approach 1:
The system segments the adaptability function by analyzing specific content attributes (intended viewing environment, color format, brightness requirements) separately and mapping each to corresponding presentation parameters. This modular approach allows the system to adapt to different environments through targeted parameter adjustments rather than requiring complete system reconfiguration, maintaining simplicity while enhancing versatility
Solution Approach 2:
The system changes presentation parameters (brightness, color format, spatial positioning) based on detected contextual factors and content attributes. By dynamically adjusting these parameters according to the intended viewing environment specified in content metadata and actual environmental conditions, the system achieves high environmental adaptability through controlled parameter modifications rather than structural changes
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that provide video content (e.g., a TV show, a recorded sporting event, a movie, a 3D video, etc.) within a 3D environment using parameters selected based on one or more contextual factors. Such contextual factors may be determined based on an attribute of the content (e.g., its intended purpose or viewing environment), the user (e.g., the user's visual quality, interpupillary distance, etc.), the 3D environment (e.g., current lighting conditions, spatial considerations, etc.), or other context attributes.


