Image Processing Using Third-Party SNS Evaluation Data
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Solution Overview
Problem
Conventional image processing methods face challenges in accurately determining image attributes and performing automatic image processing, leading to errors in correction and layout generation, particularly when dealing with night scenes, skin color correction, and selecting suitable images for printing.
Innovation Solution
An information processing apparatus that downloads images from a server, obtains evaluation information from third parties, and performs image processing based on this information, utilizing tag data from Social Networking Services (SNS) to improve image comprehension and correction, such as skin color and red eye correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If image processing is performed based solely on image data and Exif tag information, then automatic processing can be executed, but determination errors occur (e.g., night scenes misidentified as underexposure, inaccurate skin color correction)
Solution Approach 1:
The patent introduces third-party evaluation information as an intermediary element between the image data and the processing decisions. This intermediary information (evaluations from other users) is combined with image data and Exif tags to form a more comprehensive basis for automatic processing, thereby improving determination accuracy without sacrificing automation.
Solution Approach 2:
The patent makes the image processing system universal by incorporating multiple information sources (image data, Exif tags, and third-party evaluations) into a single processing framework. This multi-functional approach allows the system to handle various image types and scenarios more accurately by leveraging diverse data sources.
2Measurement precision
If manual image evaluation and processing is performed, then high accuracy in image selection and correction can be achieved, but significant time and effort are required
Solution Approach 1:
The patent enables the system to perform self-service by automatically processing images based on aggregated third-party evaluation information. Instead of requiring manual intervention for each image evaluation, the system autonomously uses the collected evaluations to determine processing parameters, thereby maintaining high accuracy while eliminating time-consuming manual work.
Solution Approach 2:
The patent applies preliminary action by pre-collecting and storing third-party evaluation information for images before the actual processing occurs. This preliminary gathering of evaluation data allows the system to make accurate processing decisions quickly without requiring manual evaluation at the time of processing.
3Extent of automation
If feature amount analysis of image data is used for layout generation, then automatic layout creation is possible, but it is difficult to select desirable images (e.g., blurred but expressive images)
Solution Approach 1:
The patent uses third-party evaluation information as an intermediary to bridge the gap between automatic processing and accurate image selection. This intermediary information provides contextual understanding that helps the system distinguish between technically perfect but unappealing images and those that are slightly flawed but emotionally resonant, enabling more accurate selection.
Data Source
AI summary
An information processing apparatus includes a download unit to download, in accordance with an instruction of a user, a print target image from a server accessible by a third party using an SNS (Social Networking Service) via a network, different from the user. A processor obtains subjective evaluation information of the third party for the print target image included in a tag added to the print target image downloaded by the download unit, evaluates the print target image, based on the subjective evaluation information of the third party, and performs image processing for the downloaded print target image in accordance with a result of the evaluation. An output unit outputs image data that has undergone the image processing of the processor.