Automated Content Curation via Thumbnail Metadata Indexing
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Solution Overview
Problem
The process of content curation, including collection, processing, and accessibility, is cumbersome and prone to errors due to manual methods, leading to inefficiencies and outdated information, with no effective user feedback mechanism for collaboration across organizations.
Innovation Solution
A system and method for automated content curation that involves storing slides in a database, generating thumbnails, extracting metadata using an optical character reader, creating an index for associations between slides and metadata, and retrieving relevant content via search strings, employing fuzzy logic and elastic search databases for efficient content management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual content curation methods are used, then content can be managed and retrieved, but the process is cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically generating thumbnails and extracting metadata from content items before they are needed for search. This pre-processing creates an indexed database structure that enables rapid retrieval during actual search operations, eliminating the need for manual content analysis at query time.
Solution Approach 2:
The patent introduces an intermediary indexing system that mediates between the full content database and user search queries. The index contains pre-extracted metadata and thumbnails that serve as intermediaries, allowing users to search and evaluate content without processing the full original files, thus dramatically reducing retrieval time.
2Reliability
If manual content curation is performed, then content can be organized, but errors occur during manual entry and processing
Solution Approach 1:
The system implements self-service by automatically extracting metadata from content items using optical character recognition and other automated processing techniques. This eliminates manual data entry entirely, allowing the system to populate its own database and index structures without human intervention, thereby eliminating human error while reducing operational complexity.
Solution Approach 2:
The patent replaces manual mechanical processes of content analysis and data entry with automated computational systems. Optical character recognition, image processing, and database indexing algorithms substitute for human operators, providing consistent, error-free processing while simplifying the overall system operation through automation.
3Adaptability or versatility
If free-form search is used over large corpus, then comprehensive results are retrieved, but voluminous results require tedious sorting
Solution Approach 1:
The system segments the large corpus of content into manageable units represented by thumbnails and metadata in the index. Instead of presenting users with overwhelming full-content results, the system divides results into discrete, visually distinguishable thumbnail representations that can be quickly scanned and evaluated, making large result sets easier to navigate.
Solution Approach 2:
The patent adds a visual dimension to text-based search results by incorporating thumbnails into the index and search results. This transforms the search experience from purely text-based to multi-dimensional, allowing users to quickly assess content relevance through visual cues alongside metadata, thereby easing the evaluation of voluminous results while maintaining search flexibility.
Data Source
AI summary
The present disclosure describes a system and method of developing a search database for automated content curation. The processing arrangement is configured to store a plurality of slides related to one or more fields in the database arrangement, generate a plurality of thumbnails from the stored plurality of slides, extract a plurality of metadata from the plurality of thumbnails, wherein the plurality of metadata are extracted by processing the generated plurality of thumbnails through an optical character reader, store the extracted plurality of metadata into the search database, create an index comprising of associations between the plurality of slides, the plurality of associated metadata and the generated plurality of thumbnails, store the created index in the search database and curate content from the index of the search database based on the one or more search strings.