Image Search Terminal With Attribute Controls
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Solution Overview
Problem
Current image search methods provide uniform and single content for related images, failing to satisfy users' diverse search requirements in real application scenarios.
Innovation Solution
An image search method that involves a terminal and a server, where the server returns similar images with corresponding attribute controls, allowing users to select and query personalized information directly through these controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If uniform content is provided for all images, then the system is simple to implement, but user search requirements are not satisfied
Solution Approach 1:
The patent segments the image information into multiple independent attribute dimensions (e.g., location, time, event, emotion). Instead of providing uniform content, the system divides the information space and allows users to select specific attributes they are interested in, thereby satisfying diverse search requirements while maintaining manageable system complexity through structured organization.
Solution Approach 2:
The patent implements dynamic content presentation by allowing users to interactively select which attribute information they want to view for each image. The system adapts its behavior based on user choices, switching between different types of information (location details, temporal data, event context, emotional tags) to match individual user needs, thus achieving versatility without requiring all information to be permanently displayed.
2Adaptability or versatility
If multiple attribute controls are provided for each image, then personalized information can be obtained, but the interface complexity increases
Solution Approach 1:
The patent creates a universal control mechanism where a single interaction pattern (selecting from predefined attribute options) serves multiple purposes. Users can access different types of information (location, time, event, emotion) through the same interactive framework, reducing the need for separate controls for each attribute type and thereby maintaining ease of operation while enabling personalized information retrieval.
Solution Approach 2:
The patent pre-defines the attribute categories and control options before user interaction. By establishing the information structure in advance (location, time, event, emotion as predefined categories), the system eliminates the need for users to navigate complex search procedures or understand intricate interface configurations, simplifying operation while still providing comprehensive customization capability.
3Quantity of substance
If repetitive operations are required to query different image information, then the system can provide comprehensive data, but user efficiency decreases
Solution Approach 1:
The patent merges multiple information retrieval operations into a single interactive action. Instead of requiring users to separately query location, time, event, and emotion information through multiple distinct operations, the system combines these into one unified attribute selection interface where users can retrieve multiple types of information simultaneously by making a single choice, thereby reducing query time while maintaining information completeness.
Solution Approach 2:
The patent implements feedback-based information delivery where the system responds to user attribute selections with the corresponding pre-processed information. By maintaining a feedback loop where user choices directly trigger appropriate information retrieval and display, the system eliminates repetitive manual querying and significantly reduces the time required to obtain comprehensive image data.
Data Source
AI summary
A search method, a terminal and a server are provided. The server returns a similar image (namely, a second image) of a first image to the terminal. When displaying the second image, the terminal further displays controls of a plurality of attributes corresponding to the second image. When the terminal detects that a user operates a first control corresponding to the second image on an interface, the terminal triggers the server to obtain first attribute information of the second image, where the first attribute information corresponds to the first control.