Image Processing Apparatus for Unique User Event Analysis

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing image processing techniques fail to provide suitable information for families with unique holiday traditions, as they do not account for unusual ways of spending time during events like Christmas, relying solely on product or service information from majority user images.

Innovation Solution

An image processing system that detects attributes from images captured by individual users during events, identifying unique activities or subjects, and provides tailored information on products or services based on these attributes, distinguishing between first and second user groups.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If information is provided based on majority user images, then general product recommendations can be made, but unique user needs are not satisfied

Engineering Contradiction:
Improveadaptability to unique user needsVSAvoidloss of unique user attribute information
Core Design Contradiction:
Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent segments users into majority users and unique users based on attribute comparison. By dividing the user base and analyzing attributes separately, the system can identify unique users whose attributes differ from the majority and provide tailored information recommendations, thus resolving the contradiction between serving general needs and meeting unique requirements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by providing different types of information recommendations to different user groups. Majority users receive general product information, while unique users receive specialized recommendations based on their distinctive attributes. This localized approach ensures each user group receives appropriately tailored information without losing unique user characteristics.

Inventive Principle:
Principle #3Local quality

2Loss of information

If image processing analyzes all captured images, then comprehensive information can be obtained, but processing time and computational resources increase

Engineering Contradiction:
Improvecompleteness of user attribute informationVSAvoidtime for image processing
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent extracts only the necessary attribute information from images rather than processing entire image datasets. By identifying and extracting specific attributes (such as objects, activities, or characteristics) needed for user classification, the system reduces processing time while maintaining the completeness of essential user attribute information.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies partial action by processing only the subset of images and attributes necessary to identify unique users. Instead of analyzing every captured image in detail, the system performs partial processing focused on extracting key attributes for comparison, thereby reducing computational burden while still achieving comprehensive user understanding.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11455795B2Image processing apparatus, image processing method, image processing program, and recording medium storing program
Publication Date: 2022.09.27 FUJIFILM CORP
  • US11455795B2 patent drawing
  • US11455795B2 patent drawing
  • US11455795B2 patent drawing

AI summary

Provided are an image processing apparatus, an image processing method, an image processing program, and a recording medium for the program, which make it possible to understand a unique way of spending time of a certain user at an event.A first attribute obtained from images captured by a first user and a second attribute obtained from images, captured by many second users whose number is larger than the number of the first user, among images of the same event are detected. The first attribute represents a feature of the first user having a unique way of spending time at the event. According to the first attribute, information on products or the like suitable for the first user is notified to the first user.