Scene-Aware Filter Selection for Video and Multi-View Content
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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
Analyzing visual digital media items to identify characteristics like physical objects, structure, pose, and movement, and selecting relevant filters or effects based on these characteristics for application, which can be done at a client device or server, with client-server communication for enhanced processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually select filters or effects from a large number of choices, then they can apply desired visual effects to digital media content, but the complexity of the selection process increases and user time is consumed
Solution Approach 1:
The system automatically analyzes visual digital media content to identify characteristics such as physical objects, structures, poses, and movement, then autonomously selects appropriate filters and effects based on these characteristics, eliminating the need for manual user selection and reducing operational complexity
Solution Approach 2:
The system changes the parameters of filter selection by transitioning from manual user choice to automated selection based on content analysis parameters such as object type, scene structure, pose detection, and movement characteristics, thereby improving both adaptability and ease of operation
2Adaptability or versatility
If current techniques are used to modify digital media content, then simple image 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 dynamically adapts filter and effect selection to different types of visual digital media content including video streams and multi-view content by continuously analyzing content characteristics such as object movement, pose changes, and scene structure, thereby enabling effective modification of complex dynamic content
Solution Approach 2:
The system segments the content analysis process into distinct characteristics including physical object identification, structure detection, pose recognition, and movement analysis, allowing for targeted and effective filter application to different aspects of complex digital media content
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.