Concept Hierarchy Merging for Multimedia Relevance
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Solution Overview
Problem
Current multimedia presentation systems consume excessive resources by presenting all multimedia items, including irrelevant content, which wastes processing, memory, power, and communication resources.
Innovation Solution
A concept hierarchy generation platform identifies relevant multimedia items by determining similarity scores between concepts and generating a new concept hierarchy that only includes relevant content, allowing for efficient presentation of items related to a specific topic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all multimedia items are presented to users, then complete content coverage is achieved, but resource consumption (processing, memory, power, communication) increases excessively
Solution Approach 1:
The patent extracts and removes irrelevant multimedia items from the presentation set by comparing concepts against user profile topics. Only items with matching concepts are retained, eliminating waste of processing, memory, power, and communication resources while maintaining complete coverage of relevant content.
Solution Approach 2:
The system applies different quality levels of content filtering based on local user preferences and profile characteristics. By analyzing user profiles and applying concept-matching at the item level, the system optimizes resource allocation for each multimedia item individually rather than uniformly processing all items.
2Ease of operation
If concept hierarchy merging is performed to organize content, then content relevance and user interaction improve, but system complexity increases
Solution Approach 1:
The patent segments the content organization task into hierarchical levels (topics, subtopics, multimedia items) and processes each level separately through concept matching. This segmentation simplifies the overall system complexity by breaking down the complex merging task into manageable, modular operations that can be executed efficiently.
Solution Approach 2:
The system performs preliminary concept extraction and hierarchy organization before the actual content presentation. By pre-processing and structuring the concept hierarchies, the system reduces runtime complexity and enables faster, more efficient content delivery while improving user interaction.
Data Source
AI summary
A device may identify a first concept hierarchy of a first multimedia presentation and a second concept hierarchy of a second multimedia presentation. The device may determine a set of concepts associated with the first concept hierarchy and the second concept hierarchy and may determine a plurality of similarity scores associated with the set of concepts. The device may generate a new concept hierarchy based on the plurality of similarity scores, the first concept hierarchy, and the second concept hierarchy by: performing a first process to merge a concept with an additional concept; performing a second process to position a concept sequentially before or after an additional concept; performing a third process to position a concept and a different concept to sequentially follow an additional concept; and performing a fourth process to position a concept to sequentially follow an additional concept and a different concept.