Automatic Media Collage Creation via Scoring and Template Selection
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Solution Overview
Problem
Users face frustration and time-consuming processes when creating media collages due to the large number of media content options and collage templates, requiring manual selection and fitting of items within atypically-shaped frames, and the need to remove unwanted frames, which are often uniform and lack content.
Innovation Solution
A computing device identifies and removes unwanted frames by determining uniform color frames, and then uses media scores and template scores based on characteristics like duration, pause frames, and interesting content to automatically select aesthetically pleasing combinations of media content for collage templates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually select and fit media content items into collage templates, then they can create customized media collages, but the process becomes time-consuming and frustrating
Solution Approach 1:
The system automatically selects media content items and fits them into collage templates without requiring manual user intervention. The computing device evaluates media items based on characteristics such as duration, pause frames, and interesting content, then autonomously arranges them within template cells, allowing the system to serve itself rather than requiring continuous user input
Solution Approach 2:
The system performs preliminary evaluation and selection of media content items before the actual collage creation process. By pre-identifying suitable media items based on their characteristics and pre-determining their placement within template cells, the system prepares everything in advance, eliminating the need for time-consuming manual selection and fitting during the creation process
2Manufacturing precision
If users manually preview and adjust each media content item in the collage, then they can ensure quality output, but the process becomes extremely time-consuming
Solution Approach 1:
The system implements an automated feedback mechanism where media content items are evaluated based on their characteristics (duration, pause frames, interesting content) and their fit within template cells is automatically assessed. The computing device uses this feedback to iteratively optimize the arrangement of media items, ensuring high-quality output without requiring manual previewing and adjustment by the user
3Manufacturing precision
If the system automatically removes unwanted frames from media content, then the media content becomes more polished and refined, but processing power and time are consumed
Solution Approach 1:
The system applies partial action by selectively removing only unwanted frames (such as uniform color frames) from media content rather than processing every frame. By identifying and removing only the necessary portions that degrade quality, the system achieves polished and refined media content while consuming less processing power than would be required for comprehensive frame-by-frame analysis and modification
Data Source
AI summary
Techniques for automatic creation of media collages are described. In one or more implementations, unwanted frames are identified and removed from items of media content. A media score is then determined for items of media content based on characteristics of an appearance of the items within a plurality of collage templates. A template score is determined for each collage template of the plurality of collage templates by combining the media scores for each media item of the plurality of media items included in a collage template. At least one of the plurality of collage templates is selected based on determined template scores. Then, at least one media collage is outputted based on the selected collage templates.