Image Browsing by Target Person Recognition and Sorting
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Solution Overview
Problem
Users face inconvenience when searching for specific images, particularly photos of individuals, in large collections on mobile devices, as existing image management applications require browsing through thumbnails and even recognized faces, making it inefficient to find multiple person-related images.
Innovation Solution
A method for operating an electronic device to browse image collections by determining a target person and adapting a subset of images based on face recognition, sorting or selecting images according to the target person, and displaying them on the device's interface, allowing for efficient browsing by intimacy link level or other criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users browse through thumbnails to find specific images, then they can locate images in the collection, but the process is time-consuming and inconvenient
Solution Approach 1:
The system performs preliminary face recognition and organization of images by person before the user needs to search. Images are pre-categorized and stored in an optimized structure that allows direct access to person-related images without manual browsing through thumbnails.
Solution Approach 2:
The manual mechanical browsing process is replaced with automated face recognition algorithms and intelligent image organization systems. The system automatically identifies faces, groups images by person, and presents relevant images based on user interaction, eliminating the need for manual thumbnail browsing.
2Measurement precision
If image management applications provide facial recognition algorithms to construct sets of images, then face recognition capability is improved, but users still have to browse through recognized faces to find corresponding sets
Solution Approach 1:
The system performs preliminary organization of recognized faces and their corresponding image sets before user interaction. When a user interacts with the interface, the system has already prepared and sorted the image sets, allowing immediate display without requiring users to manually browse through multiple face recognition sets.
Solution Approach 2:
The large collection of images is segmented into smaller, manageable sets based on recognized faces and persons. Each person has their own organized set of images, and the system can selectively display relevant segments based on user interaction, making the overall browsing process more efficient.
3Loss of information
If users want to find photos of multiple people, they have to access corresponding sets one by one, then the completeness of image search is improved, but the operation complexity increases
Solution Approach 1:
The system merges multiple person-related image sets into a single unified display. When users interact with the interface, the system automatically combines and presents image sets from multiple persons in one view, eliminating the need to access each set separately and reducing operational complexity while maintaining search completeness.
Solution Approach 2:
The system performs preliminary identification and organization of multiple persons in the image collection before user interaction. This pre-processing allows the system to quickly assemble and display all relevant image sets from multiple persons simultaneously, rather than requiring sequential access to each set.
Data Source
AI summary
A method for operating an electronic device to browse a collection of images. The method includes performing by a processing unit of the device: determining a target person, the target person being a person involved in an operation performed using the an electronic device; adapting a subset of the collection of images based on people represented in the images as a function of the target person, wherein the adapting includes selecting and/or sorting the subset of the collection of images; and displaying, on an interface of the device the subset of the collection of images, the displayed subset of images being arranged according to the adapting.