Media Asset Curation Using Semantic Scoring and Tiered Display
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Solution Overview
Problem
Conventional media libraries with large collections of images and videos are cumbersome for users to navigate, leading to hidden assets of interest being overlooked due to sheer volume, slow loading times, and difficulty in finding visually pleasing or meaningful content.
Innovation Solution
A computing device creates a semantic mapping based on user interactions, generating semantic scores to identify a first tier of assets that are prominently displayed, predicting user preferences and promoting assets with special significance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all images and videos are displayed in the media library interface, then the user can access all assets, but the interface becomes too cumbersome to navigate and too slow to load
Solution Approach 1:
The patent extracts a subset of important assets from the complete media library and displays them prominently in a first tier, while less important assets are placed in subsequent tiers. This extraction principle resolves the contradiction by allowing users to access all assets through the tiered structure while prominently featuring only the most relevant ones, reducing navigation burden.
Solution Approach 2:
The media library is segmented into multiple tiers based on importance scores, with the first tier containing the most important assets and subsequent tiers containing less important assets. This segmentation resolves the contradiction by organizing the large collection into manageable sections, making navigation easier while ensuring all assets remain accessible.
2Reliability
If all images and videos are displayed in the media library interface, then the user can access all assets, but the loading time increases significantly
Solution Approach 1:
The patent extracts and loads only the first tier of important assets into the main interface, while other assets remain in subsequent tiers that load on demand. This extraction principle resolves the contradiction by reducing the initial loading burden to only the most important assets, significantly decreasing loading time while maintaining access to all assets through the tiered structure.
Solution Approach 2:
The system performs preliminary analysis to calculate importance scores and organize assets into tiers before the user views them. This preliminary action resolves the contradiction by pre-processing the asset organization, so that when the user accesses the media library, only the pre-selected first tier assets are immediately loaded, reducing loading time while ensuring all assets are accessible.
3Ease of manufacture
If assets are sorted by conventional parameters, then the organization is simple, but interesting assets remain hidden and underutilized
Solution Approach 1:
The patent changes the sorting parameter from conventional criteria (such as date or filename) to an importance score that reflects user interest and asset significance. This parameter change resolves the contradiction by maintaining simple organization through automated scoring while ensuring interesting assets are prominently displayed in the first tier rather than hidden among thousands of other assets.
Solution Approach 2:
The system uses user interaction feedback to calculate and update importance scores, dynamically adjusting which assets appear in the first tier. This feedback mechanism resolves the contradiction by continuously learning from user behavior to surface interesting assets, preventing them from being hidden while maintaining simple automated organization rather than complex manual sorting.
Data Source
AI summary
In some implementations, a computing device may create a semantic mapping that includes identified features that appear in a particular percentage of assets in a subset of assets of a media library. Also, the computing device may analyze assets of the media library using the semantic mapping to generate semantic scores, which may be used to determine a first tier of assets from the media library that rate highest for semantic score out of all assets. The computing device may present at least one of the first tier assets prominently in a user interface when viewing assets of the media library.