Cloud Image Processing Preview via Feature Extraction
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Solution Overview
Problem
Users face uncertainty in the effects of cloud image processing, making it difficult to predict the outcomes before processing begins, especially in pay-per-use services or when processing limits are involved, as the processing contents can change during operation.
Innovation Solution
An information processing method and apparatus that transmit image data to an external processing apparatus, extract feature amounts from the processing content, convert them into displayable information, and show this information to the user, allowing for previewing the expected effects of cloud image processing before it is executed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud image processing is performed with flexible processing contents, then adaptability is improved, but prediction accuracy deteriorates
Solution Approach 1:
The system performs preliminary extraction of feature amounts from the input image data before actual cloud image processing occurs. This preliminary analysis creates a basis for predicting processing effects, allowing users to understand expected outcomes before committing to the processing operation.
Solution Approach 2:
The system provides feedback to users by displaying predicted image processing effects based on extracted feature amounts. This feedback mechanism allows users to see what the processing will achieve before it is executed, enabling informed decisions about whether to proceed with the cloud image processing operation.
2Adaptability or versatility
If image processing contents are not fixed, then versatility is improved, but information reliability deteriorates
Solution Approach 1:
The system extracts feature amounts from input image data in advance, before the actual image processing is performed. This preliminary extraction creates a reliable basis for predicting processing effects, even when the specific processing contents may vary or be selected later.
Solution Approach 2:
The system displays predicted processing effects to users based on the extracted feature amounts, providing reliable information about what the processing will achieve. This feedback maintains information reliability even when processing contents remain flexible or are selected after the prediction stage.
Data Source
AI summary
An information processing method comprises: transmitting first image data to an external image processing apparatus and receiving second image data processed by the external image processing apparatus; extracting a feature amount according to a content of image processing performed by the external image processing apparatus from the first image data; and converting the extracted feature amount to displayable information and displaying the information on a display.


