Automated Digital Media Correlation via Metadata Mediation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current technologies lack automation in correlating and combining large, disparate digital media assets such as video, audio, and images, especially across different sources and platforms, and do not effectively utilize metadata for automated correlation and presentation.
Innovation Solution
A system and method for capturing and correlating digital media assets using metadata like date/timestamp and location, allowing for automated association, sharing, and presentation of these assets, either singularly or in combination, through a mobile client with enhanced networking capabilities and a web service platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual correlation and combination of multimedia assets is performed, then small-scale media integration is achievable, but automation and scalability are limited
Solution Approach 1:
The patent applies preliminary action by automatically generating metadata tags during the media capture and upload process itself, rather than requiring manual tagging later. The system pre-processes media assets by extracting identifying features (timestamps, locations, event types) and associating them with metadata structures before the correlation phase, enabling automated matching without complex real-time processing during asset combination
Solution Approach 2:
The patent introduces metadata as an intermediary layer between disparate media assets. This metadata structure acts as a mediator that standardizes and correlates information from different sources (video, audio, images) without requiring direct complex interactions between the media files themselves. The metadata serves as a common language that simplifies the correlation process across heterogeneous media types
2Productivity
If diverse media assets from multiple sources are correlated using metadata, then automated presentation is enabled, but data security risks increase
Solution Approach 1:
The patent applies segmentation by dividing media assets into distinct portions and distributing them across multiple cloud computing providers. Each provider stores specific segments or types of media data, and the system correlates these segmented assets through metadata without requiring centralized access to all raw data. This segmentation reduces the security risk exposure at any single provider while maintaining correlation capabilities
Solution Approach 2:
The patent implements local quality by allowing different cloud providers to have specialized security measures and infrastructure tailored to their specific roles in the distributed storage architecture. Each provider can optimize their security protocols for their specific data types and access patterns, rather than requiring a single uniform security approach across all providers, thereby improving overall system reliability
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Data may be stored across the clouds of multiple cloud computing providers to improve data security. Software infrastructure components of an original cloud computing provider storing data via a first virtual machine (VM) may be identified. Software infrastructure components of an alternative cloud computing provider that is to store the data via a second VM may also be identified. A comparison is performed to determine components missing from the alternative cloud computing provider. Accordingly, configuration data may be created to cause a VM configuration utility to provision the second virtual machine with the missing components at a runtime of the second virtual machine. The configuration data and a command to activate creation of the second virtual machine on a cloud of the alternative cloud computing provider is sent to the VM configuration utility. Subsequently, a backup or a transfer of the data from the first virtual machine to the second virtual machine may be initiated.