Tag-Based Content Adaptation for Large Format Displays
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Solution Overview
Problem
Conventional large format displays (LFDs) require advertisers to generate and manage different content for each display unit, making it inconvenient to modify or update content across multiple displays.
Innovation Solution
A display apparatus and content management system that uses tag information to match content components with specific display parameters, allowing for centralized management and transmission of content to multiple displays, ensuring each display shows the appropriate content based on its unique information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different contents are generated for each LFD, then each display can show appropriate content, but content management complexity and authoring cost increase
Solution Approach 1:
The content is segmented into reusable components (pages, objects) that can be independently configured with tags. Each component can be selectively combined to create different content sets for different LFDs, allowing one content library to serve multiple displays without requiring separate content creation for each device.
Solution Approach 2:
The system uses tag information as parameters to control content selection and configuration. By changing the tag values and combinations assigned to different content components, the same content library can be adapted to various LFD configurations without modifying the actual content files, thus reducing management complexity while maintaining adaptability.
2Reliability
If separate content is created for each LFD, then display-specific content requirements are met, but maintenance cost and time consumption increase
Solution Approach 1:
Multiple LFD-specific content requirements are merged into a single unified content library organized with tag information. Instead of maintaining separate content files for each display, the system combines all content components with their respective tag metadata, allowing centralized maintenance while ensuring each LFD receives appropriately matched content through automated filtering.
Solution Approach 2:
The system implements a feedback mechanism where tag information in the content metadata is compared against stored LFD characteristics. This automated matching feedback loop ensures that when content is updated in the central library, the appropriate versions are automatically identified and applied to the correct displays, eliminating manual maintenance time while preserving display-specific content matching accuracy.
3Ease of operation
If tag information matching is performed, then content can be precisely controlled for each display, but processing complexity increases
Solution Approach 1:
Tag information is pre-attached to content components during the content creation phase, and LFD characteristics are pre-stored in a database. This preliminary organization eliminates the need for complex real-time analysis during content delivery, as the matching process simply involves retrieving pre-configured tag data and comparing it against pre-stored display characteristics, thus maintaining precision while reducing processing complexity.
Data Source
AI summary
A display apparatus according to an embodiment of the disclosure includes a communicator configured to receive content from an external apparatus; a display; and a controller configured to determine whether tag information related to a component of the received content matches predetermined apparatus information, and determine whether to display the content based on the determined result.