Image Classification and Synchronization via Server Intermediary

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Solution Overview

Problem

User terminals have limited flexibility in image storage and struggle to synchronize images with other devices, making it difficult to manage and share picture collections across different platforms.

Innovation Solution

A picture processing method that classifies images based on target elements, geographic location, and time properties, and synchronizes them across terminals when preset conditions are met, using APIs to upload images to cloud or computer storage, establishing directory structures for organized storage and viewing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If images are stored locally in user terminals, then storage is simple and direct, but flexibility and synchronization capability with other terminals are poor

Engineering Contradiction:
Improveimage storage flexibilityVSAvoidstorage system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a server as an intermediary between user terminals to enable centralized image storage and synchronization. The server receives images from terminals, performs classification processing, and distributes them to appropriate storage locations, thereby improving storage flexibility and multi-terminal synchronization without significantly increasing terminal device complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent segments the image storage system into multiple components: terminal devices for image capture and upload, a server for centralized processing and coordination, and distributed storage locations for organized image storage. This segmentation allows each component to perform its function efficiently while improving overall system adaptability

Inventive Principle:
Principle #1Segmentation

2Productivity

If all images are stored in a single location, then storage management is simple, but retrieval efficiency and organization are poor

Engineering Contradiction:
Improveimage retrieval efficiencyVSAvoidstorage structure complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the storage system into multiple storage locations organized by different criteria (first storage location for all images, second storage location for classified images). The server segments images into different categories based on analysis results and distributes them to appropriate locations, improving retrieval efficiency while maintaining manageable storage structure

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent adds a classification dimension to the storage structure by creating multiple storage locations organized according to different categorization criteria. This multi-dimensional organization allows images to be stored and retrieved based on various attributes, significantly improving retrieval efficiency without creating overly complex storage hierarchies

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Productivity

If image classification is performed on each terminal independently, then classification can be customized, but redundant processing occurs and efficiency is reduced

Engineering Contradiction:
Improveclassification processing efficiencyVSAvoidcomputational energy consumption
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The patent merges the image classification function into the server, where a single classification process analyzes images and generates classification results that are then distributed to multiple terminals. This eliminates redundant classification processing on each terminal while maintaining consistent classification standards across all devices, improving efficiency and reducing computational energy consumption

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent uses the classification results generated by the server as a template that is copied and applied across multiple terminals. Instead of each terminal performing independent classification, they receive and apply the centralized classification results, significantly reducing redundant computational work while maintaining classification consistency

Inventive Principle:
Principle #26Copying

Data Source

PatentUS20240153242A1Picture Processing Method, Electronic Device and Computer Readable Medium
Publication Date: 2024.05.09 BOE TECHNOLOGY GROUP CO LTD
  • US20240153242A1 patent drawing
  • US20240153242A1 patent drawing
  • US20240153242A1 patent drawing

AI summary

Provided in the present disclosure is a picture processing method, comprising: acquiring picture information of a picture, to be classified, of a first terminal, and according to the picture information, classifying said picture into at least one picture category of the first terminal; in response to satisfying a preset synchronization condition, acquiring a synchronous storage position of a second terminal, and determining the category of at least one picture, to be synchronized, of the first terminal; and for the category of each picture to be synchronized, determining a storage space, corresponding to the picture category, in the synchronous storage position, and transmitting the picture, of the first terminal, under the picture category to the storage space. Further provided in the present disclosure are an electronic device and a computer readable medium.