Image Recommendation Timing via Group Attribute Comparison

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Solution Overview

Problem

Existing methods for recommending image capturing equipment are not timely or suitable for changes in a user's capturing environment or object, often leading to unsuitable recommendations.

Innovation Solution

An information processing apparatus that obtains and compares image attribute information across different time ranges to determine suitable recommendations for users based on changes in their capturing tendencies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If items are recommended every time an image is posted, then recommendation frequency increases, but recommendation timing becomes unsuitable for user needs

Engineering Contradiction:

Improverecommendation frequencyVSAvoidrecommendation timing suitability

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of image attribute information before making recommendations. By deriving image group attribute information in advance and comparing it with previous groups, the system determines the optimal timing for recommendations, rather than recommending immediately upon each image post.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from comparing image group attribute information across different time ranges to adjust recommendation timing. By detecting changes in capturing tendencies through this comparison, the system determines when recommendations are most suitable for the user's current needs.

Inventive Principle:

Principle #23Feedback

2Stability of the object's composition

If recommendations are based on static capturing conditions, then recommendation consistency is maintained, but adaptability to changing user needs decreases

Engineering Contradiction:

Improverecommendation consistencyVSAvoidadaptability to changing capturing environment

Core Design Contradiction:

Stability of the object's compositionVSAdaptability or versatility

Solution Approach 1:

The system dynamically adapts recommendations by comparing image group attribute information from different time ranges. When changes in capturing tendencies are detected through this comparison, the system adjusts its recommendations to match the user's new capturing environment or objects, while maintaining consistency through systematic analysis.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes its recommendation parameters based on detected changes in image group attribute information. By monitoring variations in capturing conditions across time ranges and adjusting recommendations accordingly, the system adapts to evolving user needs while maintaining a consistent analytical framework.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If image group attribute information is derived and compared across time ranges, then recommendation accuracy improves, but processing complexity increases

Engineering Contradiction:

Improverecommendation accuracyVSAvoidprocessing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments image data into different time-range groups and derives attribute information for each group separately. By comparing these segmented groups rather than analyzing all images simultaneously, the system achieves accurate detection of capturing tendency changes while reducing overall processing complexity.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10506109B2Information processing apparatus, method of controlling the same, and non-transitory computer-readable storage medium

Publication Date: 2019.12.10 CANON KK

AI summary

An information processing apparatus operable to decide an item related to an image or image capturing for a recommendation to a user, the apparatus obtains image attribute information, derives image group attribute information for an image group including a plurality of images based on the image attribute information, compares image group attribute information derived for a first image group including images captured in a first time range and image group attribute information derived for a second image group including images captured in a second time range different to the first time range, and decides the item for the recommendation to the user in accordance with a result of the comparison.