CGR Recording Analysis and Modification System
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Solution Overview
Problem
Current computer-generated reality (CGR) systems lack efficient storage and management solutions for CGR recordings, limiting user capabilities for editing and sharing CGR content.
Innovation Solution
The implementation of a CGR system that includes storage and management of CGR recordings, enabling analysis to detect persons and objects of interest, generation of modified recordings based on user preferences, and playback with user input and preference-based behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If CGR systems store and manage recordings with analysis and modification capabilities, then user capability for editing and sharing is improved, but device complexity increases
Solution Approach 1:
The system segments the CGR recording management into distinct functional modules: recording capture, object detection analysis, user preference processing, modified recording generation, and playback. Each module handles specific tasks independently, making the complex system more manageable and maintainable while enabling versatile editing and sharing capabilities.
Solution Approach 2:
The CGR system is designed as a multi-functional platform that integrates recording, analysis, modification, and playback capabilities within a single system. This universal design allows the system to handle diverse user needs for editing and sharing without requiring multiple separate devices or applications.
2Adaptability or versatility
If the system provides analysis to detect persons and objects of interest, then the capability for personalized modifications is improved, but processing time increases
Solution Approach 1:
The system performs object and person detection analysis during the recording process rather than requiring separate post-processing steps. By conducting preliminary detection actions as the recording is captured, the system reduces overall processing time while still providing comprehensive analysis for personalized modifications.
Solution Approach 2:
The analysis function operates continuously during recording capture, maintaining constant detection and identification of objects and persons of interest. This continuous processing eliminates gaps in analysis and reduces total processing time compared to batch processing approaches.
3Ease of operation
If the system enables playback with user input and preference-based behavior, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The playback system incorporates feedback mechanisms that respond to user input and preferences, dynamically adjusting playback behavior to match user needs. This feedback-driven approach simplifies operation by automatically adapting to user requirements without requiring complex manual configuration.
Solution Approach 2:
The system provides self-service playback functionality that automatically adjusts playback parameters based on stored user preferences and detected content. This self-service capability reduces the need for complex user intervention while maintaining ease of operation through automated preference-based behavior.
Data Source
AI summary
Implementations of the subject technology provides analyzing a recording of content. The subject technology generates metadata information based at least in part on the analyzing. The subject technology identifies, based at least in part on at least one of a user preference or a detected event, a region of interest or an object of interest in the recording of content. Based at least in part on the identified region of interest or object of interest, the subject technology generates a modified version of the recording of content. Further, the subject technology stores the modified version of the recording of content for subsequent playback on an electronic device.