Media Summarizer Extracting Keywords to Reduce Information Access Time
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Solution Overview
Problem
Consumers face inefficiencies in accessing relevant information from vast amounts of media sources, such as documents, due to the presence of irrelevant, uninteresting, or duplicative content, which requires significant time and effort to sift through.
Innovation Solution
A media summarizer system comprising an inspector and a generator that identifies keywords and relevant information within documents, generates a summary, and allows users to select the summary size, with backlinks to the original content for further context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers review unaltered media sources directly, then they can access complete information, but it requires significant time and effort
Solution Approach 1:
The patent extracts key information from unaltered media sources by identifying and removing irrelevant, uninteresting, or duplicative content. The system processes the original document, selects essential information elements, and presents them in a condensed format that maintains information completeness while significantly reducing the time required for consumers to access the core content.
Solution Approach 2:
The patent segments the original media source into distinct information elements, organizing content into structured components that can be selectively processed. By dividing the document into manageable segments and identifying key elements within each segment, the system efficiently extracts essential information while filtering out non-essential content.
2Loss of information
If consumers review unaltered media sources directly, then they can access complete information, but it requires significant effort to sift through irrelevant content
Solution Approach 1:
The system automatically extracts and removes irrelevant, uninteresting, or duplicative content from the original media source. This extraction process eliminates the manual effort consumers would otherwise need to spend sifting through unnecessary information, while preserving the completeness of essential information through automated selection algorithms.
Solution Approach 2:
The system performs self-service by automatically identifying and filtering content without requiring consumer intervention. The automated process analyzes the original document, identifies key information elements, and presents the condensed version, thereby reducing the effort consumers must expend while maintaining information completeness.
3Productivity
If a summary is generated from multiple documents, then information access time is reduced, but the complexity of processing multiple sources increases
Solution Approach 1:
The patent applies segmentation by dividing multiple documents into discrete information elements that can be individually processed and analyzed. This segmentation approach allows the system to handle multiple sources systematically, identifying key elements from each document and integrating them into a unified summary, thereby managing processing complexity while improving information access efficiency.
Solution Approach 2:
The system merges information from multiple document sources into a single integrated summary. By combining the processed information elements from various documents and synthesizing them into a cohesive output, the system achieves improved productivity through efficient information access while managing the inherent complexity through structured integration processes.
Data Source
AI summary
A media summarizer may include an inspector, an array, and a generator. The inspector may inspect a document and identify words included in the document. The inspector may further identify information associated with the words included in the document. The array may include the identified words of the document and the identified information associated with the identified words of the document. The generator may generate a summary of the document. The summary may include a subset of the identified words of the document.