Automated Image Filter Recommendation System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current photography technologies lack an efficient method to automatically recommend and apply image filters based on the content and popularity of similar images, leading to suboptimal editing and sharing of digital photographs.
Innovation Solution
A computer-implemented method that identifies content-related aspects of a digital image, recommends and applies image filters by analyzing similar images, including those with high popularity, using heuristic rules and metadata analysis, and provides a preview of the filter effects in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image filters are manually selected and applied by users, then users can control the editing process, but the process becomes time-consuming and requires technical knowledge
Solution Approach 1:
The system performs automatic filter recommendation and application without requiring user intervention. The computing device analyzes the image content, identifies similar images, determines applicable filters, and applies them automatically, allowing the system to serve itself rather than requiring manual user operation for each step
Solution Approach 2:
The system pre-processes images by analyzing their content and pre-identifying suitable filters before the user needs them. By performing filter recommendation and selection in advance based on image analysis, the system prepares filter options ready for immediate application, eliminating the time users would otherwise spend on filter selection
2Adaptability or versatility
If users manually analyze and select filters based on image content, then filter selection can be customized, but the process requires technical knowledge and complexity increases
Solution Approach 1:
The system analyzes the actual content of each image and uses this feedback to automatically determine which filters are most appropriate. By continuously monitoring image characteristics and adjusting filter recommendations based on this feedback, the system achieves customized filter selection without requiring user technical knowledge
Solution Approach 2:
The patent replaces the manual mechanical process of filter selection with an automated computational system. Instead of users manually analyzing images and selecting filters, the system uses image processing algorithms and content analysis to automatically identify suitable filters, substituting computational automation for manual mechanical selection processes
3Manufacturing precision
If no automated filter recommendation system is used, then the system remains simple, but image editing quality and user satisfaction decrease
Solution Approach 1:
The system introduces an intermediary filter recommendation layer between image capture and final editing. This intermediary component analyzes image content, identifies similar images, and recommends appropriate filters, serving as a mediator that enhances editing quality without requiring the entire system to become complex. The intermediary handles the sophisticated analysis while presenting simple results to users
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method, computer program product, and system is described. An aspect of an image is identified. One or more other images are identified based upon, at least in part, the one or more other images including one or more other aspects similar to the identified aspect of the image. One or more image filters associated with the one or more other images, including a first image filter, are identified. The first image filter is applied to the image.