Search Term Generation from Media Content
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Solution Overview
Problem
Existing internet search technologies rely on manual user input and lack the ability to automatically suggest search terms based on audio, video, or optical data from television or audio media, limiting the convenience and relevance of search results.
Innovation Solution
A system and method that utilizes computer processors to receive and analyze audio, video, or optical data, identify keywords, and generate internet search terms, which can be used to suggest search queries to users, potentially incorporating natural language processing and image recognition algorithms to determine context and provide relevant search suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user input is used for search queries, then search precision is maintained, but ease of operation deteriorates due to requiring manual typing and selection
Solution Approach 1:
The system performs preliminary actions by automatically capturing media content, transcribing audio to text, and generating search terms before the user needs to search. This eliminates the need for manual typing while ensuring relevant search terms are prepared in advance based on the media being consumed.
Solution Approach 2:
The search system serves itself by automatically generating search queries from media content without requiring manual user input. The system extracts keywords, transcribes audio, and formulates search terms autonomously, reducing the burden on users while maintaining search relevance.
2Productivity
If automated search term generation is implemented, then productivity is improved by reducing manual input, but device complexity increases due to additional processing requirements
Solution Approach 1:
The system merges multiple functions into a unified search assistance system: media content capture, audio transcription, keyword extraction, and search term generation are combined into a single integrated workflow. This consolidation improves productivity while managing complexity through unified processing rather than separate systems.
Solution Approach 2:
The search system is designed with multi-functionality to handle various media types (video, audio, optical data), perform transcription, extract keywords, and generate search terms. This universal approach allows a single system to perform multiple tasks that would otherwise require separate tools, improving overall productivity.
3Adaptability or versatility
If search terms are generated from media content, then adaptability is improved by providing context-relevant suggestions, but measurement precision deteriorates due to challenges in accurately extracting keywords from unstructured data
Solution Approach 1:
The system uses feedback mechanisms where transcribed audio text is analyzed to identify and extract relevant keywords, which then inform the generation of search terms. This feedback loop ensures that the extracted keywords accurately reflect the media content, improving the precision of search term generation while maintaining adaptability to different media types.
Data Source
AI summary
The method includes receiving, by one or more computer processors, data that includes at least one of audio data, video data, and optical data. The method further includes identifying, by one or more computer processors, keywords from the received data. The method further includes generating, by one or more computer processes, Internet search terms based upon the identified keywords. In some embodiments, the method further includes searching the Internet based upon the generated Internet search terms.