Image Processing System for Automated Paired Avatar Retrieval
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Solution Overview
Problem
Users face difficulties in quickly obtaining paired images on network platforms, as existing methods require manual searching or capturing, making it time-consuming to find matching avatars.
Innovation Solution
A method and apparatus that acquire a feature of a target image, determine its style, and search for a similar feature in a database of paired images, using pre-trained models to extract and index features, thereby efficiently finding a paired image that matches the target image's style.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual searching or capturing is used to acquire paired images, then the user can obtain paired images, but the process is time-consuming and inefficient
Solution Approach 1:
The system pre-processes images by extracting features and organizing them into paired image databases before user queries. Image features are extracted in advance using pre-trained models, and paired images are pre-identified and stored with their corresponding features, enabling rapid retrieval without manual searching during actual use
Solution Approach 2:
The patent replaces manual mechanical searching with automated computer-based image processing. Feature extraction models and similarity comparison algorithms automatically identify paired images based on extracted features, substituting human manual operations with automated computational systems that significantly improve efficiency
2Measurement precision
If feature extraction and style determination models are used to search for paired images, then the accuracy of finding matching images is improved, but the device complexity increases
Solution Approach 1:
The patent employs universal pre-trained models that can handle multiple image processing tasks. The same feature extraction model and style determination model are used across different scenarios and image types, reducing the need for multiple specialized systems while maintaining high accuracy in finding paired images
Solution Approach 2:
The system introduces feature vectors and style descriptors as intermediary representations between raw images and pairing decisions. These intermediate features serve as mediators that simplify the comparison process, allowing the system to accurately match images without requiring direct complex analysis of entire images
Data Source
AI summary
Embodiments of the present disclosure provide a method and apparatus for processing an image. The method may include: acquiring a feature of a target image; acquiring a style of the target image, and searching a feature most similar to the feature of the target image from a set of image related information of the style, where the set of image related information comprises features of multiple groups of paired images; and using a paired image of an image corresponding to the found feature as a paired image of the target image and outputting the paired image of the target image.