Contextual Metadata Annotation for Immersive Media Playback
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Solution Overview
Problem
Traditional devices fail to fully enhance the playback experience of images and videos by lacking contextual information such as sounds, scents, weather, and location data, which are essential for recreating the original experience when the media is played back.
Innovation Solution
Capturing contextual data using sensors attached to image recorders or by accessing archival information, and annotating this data as metadata to recreate the original experience during playback, including adjusting lighting, playing specific songs, and simulating scents and temperatures using IoT devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional devices play back content within the image/video itself, then the playback is simple and device complexity is low, but the playback experience lacks immersion and contextual richness
Solution Approach 1:
The system segments the playback experience into multiple independent components: the core image/video content, contextual data (metadata), and enhancement artifacts (sounds, scents, environmental controls). This allows the basic playback function to remain simple while optional contextual enhancements can be added independently, resolving the contradiction between experience quality and device complexity.
Solution Approach 2:
The patent introduces contextual data as an intermediary layer between the image/video content and the playback experience. This metadata acts as a bridge that connects the media content with external artifacts (sounds, scents, environmental conditions), enabling enhanced playback without requiring direct integration of all enhancement components into the core playback device.
2Adaptability or versatility
If contextual data is captured and annotated to enhance playback, then the playback experience is enhanced, but data storage requirements increase
Solution Approach 1:
The system extracts only the essential contextual information needed for playback enhancement and stores it as compact metadata annotations. Rather than storing complete sensory data or high-fidelity replicas of all environmental conditions, the patent extracts key contextual features (timestamps, location data, sensory descriptors) that can trigger artifact retrieval, significantly reducing storage requirements while maintaining enhancement quality.
Solution Approach 2:
Contextual data is captured and annotated in advance during the media creation phase, organizing information into structured metadata that facilitates efficient retrieval and processing during playback. This preliminary organization reduces the computational and storage burden during actual playback operations.
3Loss of information
If sensors are attached to image recorders to capture contextual data, then contextual information is captured, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent describes a system where a single device (image recorder/playback device) performs multiple functions: capturing media content, recording contextual data via sensors, storing annotations, and coordinating artifact retrieval. This multi-functional approach consolidates what would otherwise require separate specialized devices, managing complexity through integration rather than proliferation of components.
4Reliability
If contextual artifacts are provided during playback, then the original experience is recreated, but the system requires access to external resources and infrastructure
Solution Approach 1:
The system transitions from storing all enhancement content locally (single-dimension storage) to using contextual metadata that references external artifacts (multi-dimensional architecture). The contextual data annotations serve as keys that link to artifacts stored in external repositories, cloud services, or associated media files, distributing the storage burden and enabling access to high-quality artifacts without requiring all components to reside in one location.
Data Source
AI summary
An image is captured using an image recorder. A set of contextual data associated with the image is also captured. The image is annotated with information describing the set of contextual data. A user is notified of the image and the set of contextual data, based on the annotated information that describes the set of contextual data.