Content Adapter for Secured Endpoint Media Devices
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Solution Overview
Problem
Existing content delivery systems face challenges in adapting content items for secured endpoint media devices, particularly in non-linear content delivery modes like IP packet streams and ATSC 3.0 standards, which require deeper integration with endpoint devices to enhance viewer experiences and offer tailored services.
Innovation Solution
The system adapts content items by processing blockchain data associated with a blockchain address, mapping it to endpoint media devices, and creating content composites that include adaptable content. These composites are delivered to devices where they can perform operations related to the content, and subsequent transmissions can create blockchain tokens based on these operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content delivery systems use non-linear modes like IP packet streams and ATSC 3.0, then content adaptability and viewer experience are improved, but system complexity and integration requirements increase
Solution Approach 1:
The content delivery system segments content into discrete content items with associated metadata, allowing independent processing and adaptation of each segment. This enables non-linear delivery while maintaining manageability through structured content organization.
Solution Approach 2:
The system introduces a content adapter as an intermediary component that receives content from various sources, adapts it to target endpoint devices, and handles the complexity of format conversion and protocol translation. This mediator approach reduces overall system complexity by centralizing adaptation functions.
2Ease of operation
If content items are adapted to secured endpoint media device data, then viewer experience personalization is improved, but data processing requirements and system overhead increase
Solution Approach 1:
The system performs preliminary adaptation of content items before delivery to endpoint devices, pre-processing content based on device capabilities and user profiles. This advance preparation reduces real-time processing requirements and improves personalization efficiency.
Solution Approach 2:
The content adapter modifies content parameters such as resolution, format, and encoding based on endpoint device capabilities and user preferences. By changing these parameters adaptively, the system achieves personalization while optimizing processing efficiency through targeted transformations rather than complete re-encoding.
Data Source
AI summary
Methods, systems, and machine-readable media for adapting content composites to device operations of an endpoint media device are disclosed. Blockchain data associated with a blockchain address may be processed by one or more processing devices. The blockchain data and/or the blockchain address may be mapped by the one or more processing devices to a first endpoint media device. Based at least in part on the blockchain data, a first content composite may be identified by one or more processing devices for delivery from a content provider system via one or more networks to the first endpoint media device. Transmission of the first content composite may be caused where, consequent to delivery of the first content composite to the first endpoint media device, the first endpoint media device or a second endpoint media device performs at least one operation relating to the first content composite.