Multimodal Search Controller with Automatic Query Type Switching
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Solution Overview
Problem
Traditional text-based search methods in computing environments are inadequate for handling the increasing diversity and volume of information, as they fail to effectively incorporate multiple query modalities such as audio, image, and text.
Innovation Solution
A device and method that receive queries of multiple types (text, audio, image) and automatically switch between input modes to process them, using a controller to output query input windows and display items for each modality, allowing for multimodal searches by combining inputs from different query types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If text-based search is used to search for information, then the search method is simple and easy to operate, but it cannot effectively handle the increasing diversity and volume of information
Solution Approach 1:
The search device is designed to accept multiple types of queries (text, audio, image) through a single unified interface. The controller automatically detects the query type and routes it to the appropriate processing module, enabling the system to handle diverse information types without requiring separate search systems for each modality.
Solution Approach 2:
The controller serves as an intermediary that receives queries in various formats, automatically identifies the query type, and transforms them into a unified processing format. This mediator component bridges the gap between diverse input modalities and the core search processing mechanism.
2Measurement precision
If multiple query modalities are supported, then search accuracy and user experience are improved, but the system complexity increases
Solution Approach 1:
The search system is divided into distinct functional modules: a query receiving module that accepts multiple query types, a query type detection module that identifies the input format, and a search execution module that processes the query. This segmentation allows each component to specialize in specific tasks, improving accuracy while managing complexity through modular design.
Solution Approach 2:
The system performs automatic query type detection and routing without requiring user intervention. The controller autonomously identifies whether the input is text, audio, or image and directs it to the appropriate processing pathway, eliminating the need for manual mode selection and reducing operational complexity.
3Ease of operation
If automatic mode switching is implemented, then user operation is simplified, but the control logic becomes more complex
Solution Approach 1:
The system automatically detects the query type based on the input characteristics and switches modes without user intervention. The controller monitors incoming queries, identifies their type through built-in detection mechanisms, and automatically routes them to the appropriate processing module, making the system self-serve its own mode switching requirements.
Solution Approach 2:
The system incorporates feedback loops where the controller continuously monitors query inputs, detects their type, and adjusts the processing mode accordingly. This feedback mechanism enables automatic adaptation to different query modalities while maintaining a unified user interface.
Data Source
AI summary
Provided are a method and an apparatus for searching for and acquiring information under a computing environment. The apparatus includes: at least one input device configured to receive a first query input of a first query type and a second query input of a second query type; and a controller configured to output a query input window including a first display item corresponding to the first query input and a second display item corresponding to the second query input, to automatically switch, in response to receiving the first query input, the apparatus from a first state to receive the first query input of the first query type to a second state to receive the second query input of the second query type, and to obtain a search result according to a query based on the first query input and the second query input.