Image Data Synchronization via Face Group Mapping
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Solution Overview
Problem
Existing data synchronization methods for electronic devices often result in data loss or inaccurate synchronization of image data due to conflicts between different devices, leading to poor synchronization efficiency.
Innovation Solution
A data processing method that acquires and compares image data from local and external devices, determines storage types of images, establishes a mapping relation between face groups, and merges image data sets based on these relations to ensure accurate synchronization and compatibility without altering local group numbers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image data from external devices is used as reference to clear or cover local image data during synchronization, then data synchronization between devices is achieved, but data loss occurs and synchronization accuracy deteriorates
Solution Approach 1:
The patent segments image data into distinct categories: first image data (local device), second image data (external device), third image data (only in local device), and fourth image data (only in external device). This segmentation allows differentiated handling of each data type during synchronization, preventing data loss by preserving unique local data while integrating external data appropriately.
Solution Approach 2:
Instead of using external image data to clear or cover local data (traditional approach), the patent inverts the logic by using local image data as the primary reference and selectively integrating external data. The mapping relationship establishment ensures local data structure is preserved while external data is merged only where appropriate, reversing the traditional synchronization paradigm to prevent data loss.
2Productivity
If traditional data synchronization methods are used, then data is transferred between devices, but synchronization efficiency deteriorates due to conflicts and data loss
Solution Approach 1:
The patent performs preliminary actions by establishing mapping relationships between face groups before actual data synchronization. The processor identifies and maps corresponding face groups from local and external devices in advance, creating a structured framework that guides subsequent data integration. This preliminary mapping prevents conflicts during synchronization and improves both efficiency and accuracy.
Solution Approach 2:
The patent introduces mapping relationships as an intermediary mechanism between local and external image data. These mappings serve as mediators that coordinate the integration process, ensuring that face groups are correctly associated across devices without direct conflict. The intermediary mapping layer resolves synchronization conflicts and maintains data integrity throughout the process.
3Adaptability or versatility
If face groups from external devices are integrated without mapping relations, then data compatibility improves, but local face group structure is altered and data accuracy deteriorates
Solution Approach 1:
The patent applies local quality by establishing mapping relationships specifically for face groups that have corresponding external data, while preserving the original structure of local face groups that lack external counterparts. Each face group is treated with appropriate quality characteristics: mapped face groups gain external compatibility, while unmapped face groups maintain local integrity. This selective approach improves compatibility without compromising local identification accuracy.
Data Source
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AI summary
The present disclosure provides a data processing method, an electronic device and a computer-readable storage medium. The method includes: acquiring (310) first image data of images stored in a local device and second image data of images stored in another device; comparing (320) the first image data with the second image data to determine a storage type of an image contained in the first image data and/or contained in the second image data; establishing (330) a mapping relation between a first face group contained in the first image data and a second face group contained in the second image data according to the storage type; and processing (340) the first image data and the second image data for the first face group and the second face group having the mapping relation with each other.