Centralized Multimedia Bookmark Management via URI Metadata Extraction
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Solution Overview
Problem
Existing methods for recording and retrieving multimedia content of interest are inefficient, as they require manual updating and storage on individual devices or services, leading to inconvenience and difficulty in accessing preferred information due to data dispersion and frequent updates.
Innovation Solution
A method and apparatus for collecting, integrating, and analyzing multimedia content information using a uniform resource identifier (URI) to extract metadata, store information objects in databases, and periodically update them, allowing for centralized storage and retrieval via multimedia devices, with features like keyword extraction and user preference calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content is stored locally on individual devices or services, then data accessibility and retrieval convenience are improved, but data dispersion and management complexity increase
Solution Approach 1:
The patent merges bookmark data from multiple devices and services into a centralized cloud-based database. The server consolidates bookmark information, metadata, and user preferences from various sources, eliminating data dispersion while maintaining retrieval convenience through unified access points.
Solution Approach 2:
The system creates a universal bookmark management service that works across multiple devices and platforms. The centralized database serves multiple functions: storing bookmarks, collecting metadata, analyzing user preferences, and providing recommendations, replacing multiple separate local storage systems.
2Reliability
If manual updating of bookmark information is used, then data accuracy is improved, but user burden and time consumption increase
Solution Approach 1:
The system implements self-service through automated metadata collection and user preference analysis. The server automatically gathers bookmark information, extracts metadata from web pages, analyzes user behavior patterns, and updates the database without requiring manual user intervention, thereby maintaining accuracy while eliminating time burden.
Solution Approach 2:
The system performs preliminary actions by proactively collecting metadata and analyzing user preferences before users need to access or update their bookmarks. The automated processes continuously monitor and update bookmark information, ensuring accuracy is maintained without requiring user time investment.
3Productivity
If centralized cloud storage is implemented, then data management efficiency is improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces a server as an intermediary between users and the centralized database. This server handles complex operations including metadata collection, data normalization, user preference analysis, and recommendation generation, thereby simplifying the user interface while managing the underlying system complexity.
Solution Approach 2:
The system segments functionality into distinct modules: bookmark storage, metadata collection, user preference analysis, and recommendation generation. This modular architecture manages complexity by separating concerns while maintaining centralized efficient data management through the coordinating server.
Data Source
AI summary
A method of collecting information of interest to a user regarding multimedia content is described. The method may include receiving first content about the information of interest to the user among the multimedia content, collecting metadata of the first content by using a uniform resource identifier (URI) of the first content, extracting at least one first information object including a schema according to a search category from the metadata, and storing the first information object in a first database.