Scene-Aware Filter Selection for Complex Visual Media
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Solution Overview
Problem
Current techniques are limited in their ability to modify complex digital media content such as video or multi-views, and users face a large number of choices when selecting filters or effects for digital media content items.
Innovation Solution
A process that analyzes visual digital media items to identify characteristics like objects, structure, pose, and movement, and selects relevant filters or effects for application, which can be provided for user selection or automatic application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually select filters or effects from a large number of choices, then they can find suitable modifications, but the time and effort required increases significantly
Solution Approach 1:
The system performs automatic scene analysis and filter recommendation without requiring manual user input. The processor analyzes visual characteristics of the media content and autonomously identifies suitable filters, allowing the system to serve itself in the selection process rather than relying on user browsing through numerous options
Solution Approach 2:
The manual mechanical process of users browsing and selecting filters is replaced with an automated computational system. The processor uses image analysis algorithms to automatically detect scene characteristics and match them with appropriate filters, substituting human manual selection with machine-based automated decision-making
2Adaptability or versatility
If current techniques are used to modify digital media content, then simple filters can be applied, but the ability to modify complex digital media content such as video or multi-views is limited
Solution Approach 1:
The system segments the complex digital media content into analyzable visual characteristics and features. By breaking down the content into detectable elements such as scene type, objects, colors, and patterns, the system can apply different filtering strategies to different segments, enabling effective modification of complex content while maintaining quality
Solution Approach 2:
The system changes the parameters of the digital media content by applying filters that modify visual characteristics such as color, brightness, contrast, and sharpness. This allows the content to be transformed from its original state to achieve desired artistic or functional effects while maintaining reliability through controlled parameter adjustments
Data Source
AI summary
Provided are mechanisms and processes for scene-aware selection of filters and effects for visual digital media content. In one example, a digital media item is analyzed with a processor to identify one or more characteristics associated with the digital media item, where the characteristics include a physical object represented in the digital media item. Based on the identified characteristics, a digital media modification is selected from a plurality of digital media modifications for application to the digital media item. The digital media modification may then be provided for presentation in a user interface for selection by a user.


