Account Detection via Image Background Analysis
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Solution Overview
Problem
Existing methods struggle to detect multiple accounts created by the same user, especially when users register accounts with different profile information and positional data, or when service characteristics in posted text are not well-reflected.
Innovation Solution
An information processing device and method that identifies background areas of images from different accounts and outputs identicalness information based on the similarity of these background areas, using local and global feature vectors and 3D position estimation to determine if users own multiple accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If profile information and positional information are used for account identification, then detection accuracy improves for some cases, but detection fails when users register with different profile information or when service characteristics are not well-reflected
Solution Approach 1:
The patent segments the account detection process into multiple independent feature extraction components: profile information features, positional information features, and image background features. By dividing the detection task into separate feature dimensions, the system can comprehensively compare accounts across multiple aspects, improving both accuracy and reliability even when some features differ between accounts
Solution Approach 2:
The patent introduces image background information as an intermediary feature for account comparison. Instead of directly comparing profile or positional information that may vary, the system uses the background environment captured in images as an indirect indicator of account ownership, providing an additional reliable dimension for detection
2Measurement precision
If comprehensive account comparison is performed using multiple features, then detection accuracy improves, but computational resources and processing time increase
Solution Approach 1:
The patent divides the feature extraction and comparison process into separate modular components for profile information, positional information, and image backgrounds. This segmentation allows independent processing of each feature type, enabling parallel computation and optimizing resource utilization while maintaining comprehensive comparison accuracy
Solution Approach 2:
The patent extracts and compares only the essential and most discriminative features from each category (profile, position, image background) rather than processing all possible account attributes. This selective feature comparison reduces computational overhead while maintaining sufficient detection accuracy
3Adaptability or versatility
If image background analysis is added to account comparison, then detection capability improves for accounts with different profile information, but device complexity increases
Solution Approach 1:
The patent extracts only the background portion from uploaded images, separating it from the main subject content. By isolating and analyzing only the background region, the system adds image-based detection capability without requiring complex full-image processing, thus improving versatility while controlling system complexity
Data Source
AI summary
An information processing device is configured to identify a background area of a first image registered from a first account and a background area of a second image registered from a second account, and to output identicalness information indicating whether a user owning the first account and a user owning the second account are identical to each other based on the background area of the first image and the background area of the second image.