Image Attribute Tag Search Method for Efficient Query Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing search methods are inefficient as they fail to accurately convey users' search requirements to servers, leading to low search efficiency, especially when users are unsure of the expected search results and must describe their requirements manually.
Innovation Solution
A search method and apparatus that utilize preset image attribute tags to define search criteria, allowing users to select image attributes directly, which are then sent to servers for processing, thereby bypassing the need for manual keyword description and improving search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually describe search requirements using keywords, then users can express their search intent, but the search efficiency is low and the accuracy of conveying search requirements to the server is poor
Solution Approach 1:
The patent uses image attribute tags as standardized copies of search requirements. Instead of manually describing search intent through keywords, users select from pre-defined image attribute tags that accurately represent their search needs. These tags serve as standardized templates that directly convey search requirements to the server without loss of information or ambiguity.
Solution Approach 2:
The patent transforms the search requirement representation from free-text keywords to structured image attribute tags with specific parameters. By changing the form of search input from unstructured text to structured tagged data, the system achieves both higher accuracy in conveying search intent and improved processing efficiency on the server side.
2Ease of operation
If servers perform multiple steps of processing user-entered search information, then the server can resolve keywords and conduct searches, but the processing time increases and search efficiency decreases
Solution Approach 1:
The patent applies preliminary action by pre-defining and categorizing image attribute tags before the search process. The server receives already-structured search requirements in the form of selected image attribute tags, eliminating the need for real-time keyword resolution and analysis. This preliminary structuring of search data significantly reduces server processing time and complexity.
3Measurement precision
If users know nothing about the description of expected search results, then users cannot accurately reflect their search requirements, but existing methods still require manual keyword entry which is time-consuming
Solution Approach 1:
The patent provides users with pre-defined image attribute tag templates that they can select without needing to describe their search requirements in detail. These templates act as copies of common search intents, allowing users to quickly select the tag that best matches their needs without spending time formulating detailed descriptions.
Solution Approach 2:
The patent allows users to perform partial action by selecting only the most relevant image attribute tags from the provided list, rather than requiring complete and detailed descriptions. This partial selection approach is sufficient to convey the essential search requirements while significantly reducing the time and effort needed from users.
Data Source
AI summary
The present disclosure discloses a search method and apparatus. A specific implementation of the method comprises: receiving first information for searching, the first information for searching comprising an image for searching; determining an image attribute tag selected by a selection operation as being second information for searching in response to detecting the selection operation of the preset image attribute tag, the image attribute tag being used for indicating an attribute of the image; sending the received first information for searching and the determined second information for searching to a server, so that the server conducts a search according to the first information for searching and the second information for searching to obtain and send a first image search result; and receiving and displaying the first image search result sent by the server. This implementation improves the search efficiency.