Keyword Detection in Media Content for Contextual Search
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Solution Overview
Problem
Existing content consumption methods, such as keyword-based Internet searches and television programming, often fail to provide sufficient depth of information relevant to consumer interests, as they rely on user-defined keywords and may not contextualize information effectively within multimedia content.
Innovation Solution
A system that detects keywords and URLs within multimedia content, using a processor-executable keyword module to identify additional context words and initiate concurrent search results display, allowing for real-time, relevant information presentation during media consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If keyword-based Internet searches are used, then search results can be obtained for specific keywords, but the results are limited to the particular keywords chosen and lack depth of information
Solution Approach 1:
The system automatically performs keyword detection and context extraction from media content without requiring user intervention. The processor-executable module autonomously identifies keywords, extracts contextual information, and generates search queries, eliminating the need for users to manually define keywords while providing comprehensive information depth.
Solution Approach 2:
The system performs preliminary keyword detection and context extraction from media content before the user needs information. By pre-analyzing the media content and preparing contextual search results, the system ensures that comprehensive information is readily available when users consume media, addressing the information depth limitation without requiring users to perform additional operations.
2Loss of information
If television programming is used to discuss consumer interests, then compelling presentation is achieved, but sufficient depth of information is not provided
Solution Approach 1:
The system merges television programming with Internet search capabilities by integrating a processor-executable module that detects keywords in media content and simultaneously performs context extraction and search operations. This combination allows the system to maintain the compelling presentation of television while augmenting it with comprehensive search results, providing depth of information without significantly increasing user-facing complexity.
Solution Approach 2:
The processor-executable module acts as an intermediary between television programming and information retrieval systems. It extracts keywords and context from media content, formulates search queries, and retrieves comprehensive information, serving as a bridge that connects the simple television viewing experience with deep information resources without requiring users to directly interact with complex search systems.
3Loss of information
If keyword detection in media content is performed, then contextual search results are provided, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary keyword detection and context extraction from media content as the content is being processed or stored, before user queries are generated. By pre-analyzing the media content and preparing contextual information, the system reduces the time required to provide comprehensive search results when users are consuming media, as the heavy processing work has already been completed in advance.
Data Source
AI summary
A method can include accessing a cookie file to obtain a keyword where the cookie file is associated with a media device and scanning a stream of media content to locate the keyword within a portion of the stream of media content. The method can include generating a filtered search set by applying filtering to additional words to exclude a black listed word, where the additional words are located within a pre-determined proximity to a location corresponding to an occurrence of the keyword within the portion of the stream of media content. The method can include providing a search result based on a network search conducted using the keyword and the filtered search set.