Real-Time Media Content Filtering via Segmentation
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Solution Overview
Problem
Conventional content control systems in media devices often fail to provide fine-grained control over media access, particularly for live media, and may filter entire programs due to minor inappropriate content, lacking user customization options and real-time filtering capabilities.
Innovation Solution
A content management system that utilizes image and audio recognition, neural networks, and classification models to identify and classify undesirable content in real-time, allowing for selective filtering and modification of media, such as replacing or obfuscating offensive material, while preserving the integrity of the media data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional content control systems filter entire video or audio programs when only a portion includes offensive content, then harmful factors are reduced, but loss of information increases and manufacturing precision deteriorates
Solution Approach 1:
The patent segments media content into discrete frames or time segments, allowing individual segments containing offensive content to be identified and filtered separately from the rest of the media. This enables selective filtering at the frame level rather than filtering entire programs, thus reducing information loss while still blocking harmful content.
Solution Approach 2:
The patent applies different processing qualities to different parts of the media content. Clean segments are preserved in their original quality, while segments containing offensive content are either filtered or replaced with blur/censorship effects. This local differentiation allows harmful content to be blocked without degrading the quality of appropriate content.
2Ease of operation
If conventional content control systems use preset standards for content filtering, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent implements dynamic filtering settings that can be adjusted in real-time based on user preferences and context. The system allows users to modify filtering criteria, sensitivity levels, and acceptable content types during operation, transforming static preset filters into adaptable, user-customizable systems that balance ease of operation with versatility.
Solution Approach 2:
The patent creates a universal filtering framework that can handle multiple types of content (video, audio, text) and multiple filtering criteria (offensive language, violence, sexual content, etc.) through a single system. This multi-functional approach allows users to access comprehensive content control capabilities while maintaining simple operation through unified settings.
3Object-affected harmful factors
If conventional content control systems block content without fine granularity, then harmful factors are reduced, but loss of information increases
Solution Approach 1:
The patent divides media content into fine-grained segments (individual video frames, audio samples, or text passages) and applies content analysis to each segment independently. This segmentation enables the system to remove or censor only the specific portions containing inappropriate content while preserving the surrounding appropriate content, thereby reducing information loss.
Solution Approach 2:
The patent extracts and removes only the specific offending elements from media content rather than removing entire programs or large portions. By identifying and extracting only the problematic segments (such as specific frames, words, or audio clips), the system maintains the integrity and usability of the remaining content.
4Adaptability or versatility
If real-time content filtering is implemented in live media, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements preliminary content analysis and classification mechanisms that prepare and pre-process media content before full filtering is applied. By performing initial scans, pre-identifying potential offensive content, and preparing filtering decisions in advance, the system reduces the computational complexity required for real-time filtering while maintaining adaptability to live media streams.
Data Source
AI summary
Various approaches relate to user defined content filtering in media playing devices of undesirable content represented in stored and real-time content from content providers. For example, video, image, and/or audio data can be analyzed to identify and classify content included in the data using various classification models and object and text recognition approaches. Thereafter, the identification and classification can be used to control presentation and/or access to the content and/or portions of the content. For example, based on the classification, portions of the content can be modified (e.g., replaced, removed, degraded, etc.) using one or more techniques (e.g., media replacement, media removal, media degradation, etc.) and then presented.