Purposing Masks for Automated Image Repurposing
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Solution Overview
Problem
Content authors face significant time and effort in repurposing content for multiple media devices due to varying display sizes, aspect ratios, and resolutions, leading to repetitive and tedious processes that can result in inconsistent quality and reduced reach of information across different formats.
Innovation Solution
The system provides editing tools with purposing masks that allow content authors to automatically crop and generate files for multiple devices, using masks to visualize the visible display area of each device, enabling efficient content modification and file generation for various media types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content authors manually create and reshape content for each different target format, then the content can be adapted to specific media requirements, but the time and effort required increases significantly
Solution Approach 1:
The system segments the content creation process by providing separate editable masks for different target formats. Each mask represents a specific format requirement, allowing authors to work with individual format specifications rather than manually adjusting entire content layouts for each format sequentially.
Solution Approach 2:
The system performs preliminary actions by pre-defining format-specific masks that contain the structural requirements for different target formats. These masks are prepared in advance and can be applied to content, automatically establishing the correct layout framework before the author adds specific content elements.
2Adaptability or versatility
If content authors use multiple editing sessions to accommodate all target formats, then all formats can be supported, but the process becomes repetitive and tedious
Solution Approach 1:
The system implements universality by providing a single development environment that handles multiple target formats simultaneously through format-specific masks. The same authoring interface and content elements can be used across different formats by simply switching between pre-defined masks, eliminating the need for separate editing sessions for each format.
3Adaptability or versatility
If content is repurposed for different media types, then the reach of information increases, but the quality consistency across formats may be reduced
Solution Approach 1:
The system applies local quality by providing format-specific masks that are tailored to the unique requirements of each target format. Each mask contains localized adjustments and constraints appropriate for its specific format, ensuring that content is optimized for each medium while maintaining overall quality standards through a unified authoring environment.
Data Source
AI summary
The present invention is directed to a system and method which allow for the automatic cropping and file generation of images from an existing image for display on multiple devices. An image, such as a video image, is provided to an Integrated Development Environment (IDE). Next a mask or plurality of masks representative of different displays are applied to the image. The mask can be moved such that the content author can display an area of interest in the desired device. Once the mask is in place a crop is generated based on the mask. As frames are advanced the mask may be moved as the area of interest moves. Again a crop is made based on the mask. Once completed a file of the images is generated for each device represented by the mask that is displayable for the device.