Digital Asset Format Transformation via Pre-Conversion
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Solution Overview
Problem
Existing technologies face challenges in easily converting and transferring digital assets across different formats and devices, limiting access to digital content, especially in group learning and unconventional settings.
Innovation Solution
A method that transforms unmodified digital assets from their native format into derived digital assets in non-native formats, which are then sent to remote recipients via a network upon request, allowing for flexible format adaptation based on recipient device capabilities and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital assets are converted from native format to non-native format for different devices, then adaptability and accessibility are improved, but conversion complexity and processing time increase
Solution Approach 1:
The system performs format conversion in advance by creating and storing derived digital assets from unmodified digital assets before they are needed. When a user requests content, the pre-converted formats are immediately available for delivery, eliminating real-time conversion delays and complexity.
Solution Approach 2:
The system creates copies of digital assets in multiple formats (derived digital assets) from the original unmodified digital asset. These copies are stored in various non-native formats suitable for different devices, allowing immediate distribution without conversion during delivery.
2Quantity of substance
If format conversion is performed on-demand, then storage requirements are reduced, but delivery time and user wait time increase
Solution Approach 1:
The system pre-converts and stores multiple format versions of digital assets in advance. When content is requested, the appropriate pre-converted format is immediately available for delivery, eliminating user wait time while maintaining efficient storage through selective format creation.
3Productivity
If multiple format versions are pre-converted and stored, then delivery speed is improved, but storage space requirements increase
Solution Approach 1:
The system creates derived digital assets in multiple formats from a single unmodified digital asset, making the content universally accessible across different devices and platforms. The same conversion process serves multiple delivery scenarios, maximizing the utility of stored formats.
Solution Approach 2:
The system transforms the digital asset by changing its format parameters to create derived versions suitable for different devices. This allows the same content to be delivered in optimized formats for various platforms without storing completely separate content versions.
4Ease of operation
If format transformation is automated, then ease of operation is improved, but processing overhead and system complexity increase
Solution Approach 1:
The system automatically detects the recipient's device capabilities and format requirements, then autonomously selects and performs the appropriate format conversion. The process requires no manual intervention from users while the system self-manages the complexity of format selection and transformation.
Data Source
AI summary
A method for providing a digital asset to a remote recipient via a network. An unmodified digital asset is received in a native format, transformed into a derived digital asset having a non-native format, and offered to a remote recipient via the network. The method further includes sending the derived digital asset to the remote recipient in response to a request of the remote recipient.