Multimedia Content Filtering via Segmented Local and External Modules
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Solution Overview
Problem
The expansion of multimedia content production has led to challenges in identification and access, particularly in determining content appropriateness for various users, such as families and those with specific moral preferences, due to insufficiencies in existing methods and systems.
Innovation Solution
A system comprising a server and a local device, connected via a network, that utilizes an external library access module with an adjustable content filter to identify and access multimedia content based on personal profile settings, including an encyclopedic database and user library content file, which filters content according to user-defined preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content filtering is applied based on personal settings, then content appropriateness for users is improved, but device complexity increases due to multiple filtering layers
Solution Approach 1:
The filtering system is divided into two independent modules: a local filter using personal settings stored locally on the user device, and an external filter using adjustable content filters accessed through an external search engine. This segmentation allows each module to handle specific filtering tasks independently, improving content appropriateness while managing complexity through modular design.
Solution Approach 2:
An external library access module serves as an intermediary between the user device and external search engines. This intermediary coordinates the interaction between local and external filtering systems, managing the complexity of integrating multiple filtering layers while ensuring both filters work together to improve content appropriateness.
2Adaptability or versatility
If both local and external filtering systems are used, then identification and access to appropriate content is improved, but system complexity increases
Solution Approach 1:
The external library access module is designed to perform multiple functions: it manages personal profile settings, coordinates local filtering operations, accesses external search engines, and manages external filtering. This multi-functionality allows the system to achieve versatile content identification capabilities while reducing overall system complexity by consolidating multiple functions into a single module.
3Ease of operation
If personal profile settings are stored and processed locally, then user-specific content filtering is improved, but data storage requirements increase
Solution Approach 1:
Personal profile settings and filtering preferences are extracted from centralized storage and stored locally on user devices. This extraction allows personalized content filtering to be performed locally without requiring continuous access to centralized databases, improving ease of operation while reducing the quantity of data that needs to be transmitted and processed centrally.
Data Source
AI summary
Methods, systems, and subsystems for identifying and accessing multimedia content are provided. One external library access module includes instructions, stored on computer readable media, that, when executed by a processor, perform steps for: accessing personal profile settings stored in computer readable media, the profile settings including personal settings relating to filtering content; accessing an external search engine used to identify content on a network, the engine having an adjustable content filter; and selecting a setting of the filter based on the personal settings. In another embodiment, a method for identifying and accessing multimedia content from a network includes: filtering content described in a first compilation of data in strict adherence to personal settings relating to filtering content; and using an external filter to filter content accessible from the network through an external search engine. A setting of the external filter is automatically selected based on the personal settings.