AI Media Content Analysis for Multiformat Review Search Reduction
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Solution Overview
Problem
The proliferation of product and service reviews, especially in new media formats like audio and video, makes it challenging for manufacturers, distributors, retailers, and service providers to track and analyze these reviews effectively using existing technology.
Innovation Solution
A method that processes media content to refine search parameters within a media content knowledge repository, involving steps such as receiving a request for inclusion, obtaining media content, extracting video and audio components, selecting segments, determining attributes, and integrating segment attributes into the repository.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing text-based tools are used to track and analyze online reviews, then the analysis of formally structured text reviews is relatively easy, but the analysis of new media formats (audio and video) becomes extremely challenging
Solution Approach 1:
The patent introduces AI technology as an intermediary tool between the media content (audio/video reviews) and the analysis system. The AI technology enables extraction of attributes from non-text media formats, bridging the gap between existing text-based analysis tools and new media review formats, thereby resolving the contradiction between ease of operation and adaptability to new formats
Solution Approach 2:
The patent replaces manual text-based analysis methods with automated AI-driven analysis systems. This substitution enables the system to automatically process and analyze audio and video content, transforming the mechanical process of review analysis to handle multiple media formats efficiently, thus improving both ease of operation and adaptability
2Loss of information
If the search space includes all media content without refinement, then comprehensive coverage is achieved, but processing time and computational resources increase significantly
Solution Approach 1:
The patent applies segmentation by dividing media content into distinct segments and extracting specific attributes from each segment. This allows the system to process content in manageable units rather than treating all media content as a single large dataset, reducing processing time while maintaining comprehensive analysis through systematic coverage of all segments
Solution Approach 2:
The patent implements preliminary action by pre-processing media content to extract attributes and create a refined search space before actual analysis. This preliminary extraction of video and audio attributes filters and organizes data in advance, so that subsequent analysis operates on a reduced, pre-processed dataset, significantly reducing processing time while preserving all relevant information
Data Source
AI summary
Systems and methods for reducing the search space by processing media content to refine search parameters. A computing device may obtain the media content in response to receiving a request for inclusion of the media content in a media content knowledge repository, extract an audio component, a video component, and a text component of the media content, and determine attributes within the extracted components. The computing device may determine segment attributes based on a result of correlating the determined audio, video, and text attributes, integrate the segment attributes into the media content knowledge repository, and/or perform any of a variety of responsive actions.