Automatic Special Effect Application via Image Attribute Analysis
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Solution Overview
Problem
The process of selecting and incorporating special effects into digital images is challenging and time-consuming, especially with the abundance of digital images from smartphones and mobile devices.
Innovation Solution
An image editing system and method that analyzes attributes of digital images, such as metadata and user-defined criteria, to automatically apply special effects from a data store, including event-based, location-based, and gesture-based effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection and application of special effects is used, then user control over effect selection is maintained, but the process becomes challenging and time-consuming
Solution Approach 1:
The system performs automatic effect selection and application without requiring manual user intervention. The processor analyzes image attributes, compares them against stored criteria, and automatically applies appropriate special effects, allowing the system to serve itself rather than requiring continuous user input.
Solution Approach 2:
The system pre-establishes multiple criteria in the data store, each associated with specific image attributes and corresponding special effects. By preparing these criteria in advance, the system enables rapid automatic matching and effect application during actual image processing without requiring users to manually select effects for each image.
2Extent of automation
If automatic effect application is implemented, then user effort is reduced, but system complexity increases
Solution Approach 1:
The system divides the automatic effect application process into distinct functional modules: an image attribute analysis component that extracts features from images, a criteria matching component that compares attributes against stored criteria, and an effect application component that applies selected effects. This segmentation manages complexity by creating independent, specialized components.
Solution Approach 2:
The system introduces a data store as an intermediary layer between user-defined criteria and the automatic effect application process. The data store stores multiple criteria with associated image attributes and special effects, acting as a mediator that enables the processor to automatically match images with appropriate effects without requiring complex real-time decision logic in the processing unit itself.
Data Source
AI summary
An image editing device is configured to automatically apply special effects to a digital image. In the image editing device, a digital image is obtained, and a selection is retrieved from a user, where the user selection specifying at least one criterion. At least one attribute of the digital image is analyzed, and a determination is made on whether the at least one attribute coincides with a target attribute associated with the at least one criterion. Responsive to the at least one attribute coinciding with the target attribute, a special effect is obtained from a data store, and the obtained special effect is applied to the digital image.