Chat Content Search Using Text Keywords for Multimedia Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing messenger applications require users to directly scan chat contents or content lists to retrieve multimedia content, making it inefficient and time-consuming, especially when searching for specific non-text content like images or videos.
Innovation Solution
A method and system that allow users to search for non-text content using a text keyword within chat contents, where a processor retrieves a chat message with the keyword, extracts relevant multimedia content from the surrounding chat section, and provides the content as a search result, including classification and preview options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users directly scan chat contents or content lists to retrieve multimedia content, then they can access all available content, but the search process becomes inefficient and time-consuming
Solution Approach 1:
The patent introduces an intermediary search system that acts as a mediator between the user and the chat contents. The system includes a search module that receives search queries, a retrieval module that fetches relevant chat messages, and an extraction module that extracts multimedia content. This intermediary structure eliminates the need for users to manually scan through all chat contents, significantly improving retrieval efficiency while reducing search time.
Solution Approach 2:
The patent replaces the mechanical manual scanning process with an automated information processing system. Instead of users physically scrolling and examining chat contents, the system automatically retrieves chat messages containing relevant keywords and extracts multimedia content through programmed modules. This substitution of mechanical user action with automated computational processes dramatically improves efficiency and reduces time loss.
2Reliability
If the system extracts non-text content from a large chat section, then more relevant content is found, but the processing complexity and time increase
Solution Approach 1:
The patent divides the chat section into manageable units for processing. The extraction module processes chat messages in segments rather than attempting to handle the entire chat history at once. This segmentation allows the system to maintain high search accuracy by focusing on relevant portions while reducing processing complexity through divided, modular operations.
Solution Approach 2:
The system performs preliminary actions by first retrieving chat messages that contain relevant keywords before extracting multimedia content. This preliminary filtering step reduces the volume of data that needs to be processed in detail, maintaining search accuracy by focusing on relevant content while reducing overall processing complexity through pre-filtering.
3Ease of operation
If the system provides detailed search results with previews and classifications, then user satisfaction improves, but the data processing and output generation become more complex
Solution Approach 1:
The patent segments the search result presentation into distinct components: classification information, preview content, and detailed results. This segmentation allows the system to provide comprehensive, user-friendly output with proper organization and formatting while managing complexity through modular presentation structures that can be generated through separate processing steps.
Solution Approach 2:
The system performs self-service by automatically classifying and formatting search results without requiring additional user intervention. The presentation module autonomously organizes extracted multimedia content with appropriate metadata, previews, and classifications, reducing the need for complex user-side processing while improving ease of operation through automated result preparation.
Data Source
AI summary
Provided are a method, a system, and a non-transitory computer-readable record medium for searching for a non-text using a text in chat content. The method including retrieving a chat message that includes text input as a keyword from chat content on a messenger, extracting non-text content from a chat section specified based on the retrieved chat message, and providing the extracted non-text content as a search result corresponding to the keyword.