Personalized Image Organization via User-Specific Conditions

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Solution Overview

Problem

Existing image organizing technologies fail to provide personalized classification and organization of images based on user-specific preferences, often requiring cumbersome user interactions and applying uniform classification conditions to all users.

Innovation Solution

An image organizing method and device that stores and retrieves user-specific organizing conditions, allowing images to be classified and organized based on their content and attributes, enabling automatic organization that aligns with individual user preferences without the need for frequent user intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If uniform classification conditions are applied to all users, then the classification process is simple and fast, but the classification results do not meet individual user preferences

Engineering Contradiction:

Improveclassification speedVSAvoidpersonalization capability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary actions by automatically acquiring user profile information from external sources (social media, contact lists, calendar data) before the classification process begins. This pre-acquired information is stored and used to apply personalized classification conditions without requiring real-time user input, thus maintaining classification speed while achieving personalization

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by automatically gathering user preference data from external services and autonomously applying classification rules based on this data. The user does not need to manually configure classification parameters; the system serves itself by leveraging existing user digital footprints to create personalized classification profiles

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If user-specific organizing conditions are implemented, then classification meets user preferences, but the system complexity increases

Engineering Contradiction:

Improvepersonalization capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system achieves universality by using a standardized interface and data structure for acquiring user information from multiple external sources (social media, contact lists, calendar services). Despite the diversity of data sources, the system applies a unified approach to parse, store, and utilize this information for classification, thereby managing complexity while maintaining personalization capability

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system manages complexity by changing parameters dynamically - it adjusts the level of personalization and the types of user information acquired based on available data and user preferences. The system can flexibly modify classification parameters without requiring complete reconfiguration, allowing it to adapt to different users while maintaining a relatively simple core architecture

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If automatic user information acquisition is implemented, then personalized classification is achieved without user intervention, but information privacy concerns arise

Engineering Contradiction:

Improveuser convenienceVSAvoidprivacy risk

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The system introduces an intermediary mechanism by acquiring user information through authorized interfaces and APIs of external services rather than direct access. It uses this intermediary data to create classification profiles without exposing sensitive information, and implements data protection measures to mitigate privacy risks while maintaining ease of operation

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system extracts only the specific information needed for classification purposes from external user data sources, rather than acquiring complete user profiles. It selectively extracts relevant parameters (such as location, time, event type) while leaving sensitive information behind, thereby reducing privacy risks while still achieving personalized classification

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS8285084B2Image organizing device and method, and computer-readable recording medium storing image organizing program

Publication Date: 2012.10.09 FUJIFILM CORP

AI summary

An organizing condition for organizing a plurality of inputted images based on at least one of a content of each inputted image and an associated attribute of each inputted image is stored for each user. When a plurality of newly inputted images are organized, the stored organizing condition associated with the user who carries out the organization is acquired, and the newly inputted images are organized based on the acquired organizing condition.