Dynamic Media Asset Transformation Using External Metadata
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Solution Overview
Problem
Modifying large catalogs of media assets to conform to a target context is impracticable for many publishers due to the scale of the content, often requiring extensive manual formatting and transformation that is not efficiently supported by traditional systems.
Innovation Solution
A system and method that retrieves media assets from a catalog, transforms them using data from external sources, and modifies the assets to conform to the target serving context by overlaying external data and updating metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional content publishing systems are used to display media assets, then the system simplicity is maintained, but the media assets cannot be dynamically modified to conform to target contexts
Solution Approach 1:
The patent introduces a media transformation system as an intermediary component between the media asset catalog and the presentation context. This intermediary retrieves media assets from the catalog, transforms them according to target context requirements, and delivers the transformed assets to the appropriate presentation channel. The intermediary handles the complexity of transformation while keeping the original catalog simple and unchanged.
Solution Approach 2:
The system segments the media asset workflow into distinct phases: retrieval from catalog, transformation according to context, and delivery to presentation channel. By separating these functions into independent modules, the system achieves adaptability without requiring complete system redesign. Each module can be optimized independently, reducing overall system complexity while maintaining versatility.
2Adaptability or versatility
If manual formatting and transformation of media assets is performed, then the media assets can be customized for target contexts, but the time consumption and labor requirements increase significantly
Solution Approach 1:
The media transformation system performs automated self-service transformation of media assets without requiring manual intervention. The system automatically retrieves assets from the catalog, applies appropriate transformations based on target context parameters, and delivers the transformed assets ready for presentation. This automation eliminates time-consuming manual formatting while maintaining high context conformity.
Solution Approach 2:
The system transforms media assets by dynamically changing parameters such as format, resolution, encoding, and metadata based on target context requirements. Instead of manual formatting, the system uses parameter-based transformation rules that can be automatically applied to convert assets to match different presentation contexts, significantly reducing transformation time while maintaining adaptability.
3Quantity of substance
If large catalogs of media assets are maintained, then the content variety is sufficient, but the transformation task becomes impracticable
Solution Approach 1:
The system performs preliminary actions by pre-configuring transformation rules and parameters for different target contexts before actual transformation is needed. When a transformation request arrives, the system retrieves pre-defined transformation parameters and applies them automatically to media assets, avoiding time-consuming on-the-fly formatting decisions. This preliminary preparation enables efficient transformation of large catalogs.
Solution Approach 2:
The patent replaces manual mechanical formatting operations with automated computational transformation processes. Instead of human operators manually adjusting media assets, the system uses algorithmic transformation based on context parameters, which can process large catalogs at high speed. This substitution of mechanical manual work with automated computational processes dramatically improves transformation efficiency.
4Adaptability or versatility
If basic formatting only is applied to media assets, then the system operation remains simple, but the content cannot be optimized for specific serving contexts
Solution Approach 1:
The media transformation system provides universal functionality that handles multiple transformation tasks within a single unified process. It can simultaneously adjust format, resolution, encoding, metadata, and other parameters according to target context requirements. This multi-functional approach optimizes content for specific serving contexts while maintaining operational simplicity through a single automated process rather than multiple separate operations.
Data Source
AI summary
The present disclosure provides systems and methods for transforming media assets using data retrieved from external sources. A system can identify a request to update one or more media assets maintained in a database of a media asset system. The system can retrieve, from a remote data system identified in the request, data corresponding to object metadata of each media asset of the one or more media assets. The system can generate, for each media asset of the one or more media assets, an updated media asset to include the data retrieved from the remote data system. The system can modify the object metadata of each of the one or more media assets based on the data. The system can update, responsive to the request, the database with each updated media asset. The updated media assets can be transmitted to client devices for display in information resources.