Age-Based Picture Search for Personal Gallery Retrieval
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Solution Overview
Problem
Existing picture management systems on smart terminals lack the ability to efficiently search for pictures based on the age of individuals in the images, limiting user experience in viewing and managing personal photo collections.
Innovation Solution
A picture search method that allows users to search for pictures by entering an age as a keyword, utilizing age-based mapping relationships to retrieve and display images of individuals of the same age, optionally combined with names or locations, enhancing the search functionality of photo management applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If picture management systems use traditional search methods based on time and location, then users can view pictures by basic criteria, but the system lacks the ability to search by age of individuals in images
Solution Approach 1:
The system performs preliminary age recognition and extraction on pictures before the search operation. Age information is pre-processed and stored in the picture information database, so when a user searches by age, the system can directly query pre-extracted age data without needing to analyze images in real-time, thereby resolving the contradiction between adding versatile search capability and avoiding information loss
Solution Approach 2:
The patent introduces an intermediary component (age recognition module and picture information database) that bridges the gap between image data and search functionality. This intermediary extracts and stores age information separately, allowing the search system to query age-based criteria without directly processing image content during search operations
2Adaptability or versatility
If the system adds age-based search capability, then users can search for pictures by age, but the device complexity increases
Solution Approach 1:
The system segments the picture management functionality into distinct modules: picture storage module, age recognition module, picture information database, and search module. By dividing the system into independent functional segments, the patent adds age-based search capability while maintaining clear separation of concerns, which helps manage and reduce overall system complexity
Solution Approach 2:
The patent adds age as a new dimension for picture organization and search, alongside existing dimensions like time and location. This dimensional expansion is achieved by creating a separate age attribute field in the picture information database rather than fundamentally restructuring the entire system architecture, thereby minimizing the increase in device complexity
3Measurement precision
If users manually categorize pictures by age, then accurate age-based organization is achieved, but the ease of operation decreases
Solution Approach 1:
The system implements self-service functionality by automatically performing age recognition and extraction on pictures without requiring user intervention. The age recognition module autonomously analyzes images, extracts age information, and populates the picture information database, eliminating the need for users to manually categorize pictures while maintaining high accuracy
Solution Approach 2:
The patent replaces the mechanical manual categorization process with an automated image recognition system. Instead of users visually examining and manually sorting pictures by age, the system uses computational algorithms to automatically detect and extract age information, substituting human effort with automated processing
Data Source
AI summary
A picture search method includes that an electronic device displays a search interface of a gallery, where the search interface includes a search input box, and the gallery includes a first picture and a second picture. The first picture includes an image of a first person. When the first picture is captured, an age of the first person is a first age. The second picture includes an image of a second person. When the second picture is captured, an age of the second person is the first age. In response to a first search keyword received from a user in the search input box, the first picture and the second picture that match the first search keyword are obtained from the gallery and are displayed, where the first search keyword includes the first age.