Automated Image Registration via Purchase Likelihood Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users are less motivated to use image sales services because they cannot understand the selection standards, leading to a drop in the number of users and insufficient image collection, as existing methods fail to implement a system for automatically collecting images with sale value.
Innovation Solution
An image management apparatus that receives images from a communication device, sends them for evaluation, and registers them in a server-based sales service only if the evaluation indicates a high likelihood of purchase and user consent is given.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection standards are used for image registration, then image quality can be controlled, but user motivation drops and image collection becomes insufficient
Solution Approach 1:
The system enables self-service by allowing images to automatically evaluate and register themselves based on embedded evaluation criteria. Images contain evaluation requests that trigger automatic assessment by the image management apparatus, eliminating the need for manual review while maintaining quality standards through automated scoring mechanisms.
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated electronic evaluation system. The image management apparatus uses computational algorithms to assess images based on predetermined criteria, substituting human reviewers with an automated system that can process images efficiently while maintaining consistent quality control.
2Productivity
If automated evaluation system is implemented, then image collection efficiency increases, but system complexity increases
Solution Approach 1:
The system segments the evaluation process into distinct modular components: image reception units, evaluation request extraction units, scoring units for different criteria, and registration decision units. Each component handles a specific aspect of the evaluation, making the complex system manageable and maintainable through functional decomposition.
Solution Approach 2:
The image management apparatus performs multiple functions within a single integrated system: receiving images, extracting evaluation requests, conducting automated assessments, determining registration decisions, and managing consent information. This multi-functionality reduces the need for separate systems while achieving high collection efficiency.
3Reliability
If user consent information is required, then privacy protection improves, but registration process becomes more complex
Solution Approach 1:
The system performs preliminary action by obtaining and storing user consent information before the actual image registration process. Consent status is pre-recorded in the database, allowing the automated system to quickly verify eligibility without adding complexity to the registration workflow. This advance preparation streamlines the overall process while maintaining privacy protection.
Data Source
AI summary
There is provided an image management apparatus. A first receiving unit receives an image from a communication apparatus. A sending unit sends the image and an evaluation request for the image to an image evaluation apparatus configured to perform evaluation with respect to likelihood that another user will purchase the image. A second receiving unit receives an evaluation result for the image from the image evaluation apparatus. A registering unit registers the image in a server apparatus configured to provide an image sales service, in a case where the evaluation result indicates that the likelihood satisfies a predetermined standard and information, which indicates that a user consents to having the image registered in the server apparatus, is set in the image.