Dynamic Image Formatting for Enterprise Applications
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Solution Overview
Problem
Enterprise applications often require electronic images to be formatted according to specific attributes like aspect ratio, frame size, and resolution, which can vary across different applications, leading to the need for users and providers to adjust images multiple times, causing inefficiency and burden.
Innovation Solution
The described techniques enable electronic images to be adjusted dynamically to match the format requirements of various enterprise applications by cropping, resizing, or scaling, using image processing services and classifiers to maintain content quality and distinguishability, allowing a single image to be used across multiple formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If electronic images are presented in their original format, then the image content is preserved without modification, but the image may not be adequately formatted or distinguishable when displayed by the enterprise application
Solution Approach 1:
The system dynamically adjusts image formatting parameters (aspect ratio, frame size, resolution) based on the specific enterprise application requirements while maintaining the core image content. This allows the same image to be adaptively formatted for different applications without manual intervention.
Solution Approach 2:
The patent changes physical parameters of the image (aspect ratio, frame size, resolution) to match different enterprise application formats. By systematically varying these parameters, the system achieves proper formatting while preserving image distinguishability and content integrity.
2Manufacturing precision
If users manually adjust electronic images to satisfy the criteria of different enterprise applications, then the images can be properly formatted for each application, but users are burdened by having to modify images multiple times
Solution Approach 1:
The system performs automatic image formatting adjustments without requiring user intervention. The enterprise application itself triggers and manages the image format conversion process, allowing the system to serve itself in meeting formatting requirements while users simply upload images in their original format.
Solution Approach 2:
The system pre-processes images by adjusting their format parameters before presentation to the enterprise application. This preliminary formatting action ensures that images are ready for display without requiring users to perform manual adjustments at the time of use.
3Adaptability or versatility
If providers manually format electronic images according to the criteria of each enterprise application, then the images can be properly presented, but providers are challenged by having to present images formatted according to each application's criteria
Solution Approach 1:
The system creates a universal image processing capability that can handle multiple enterprise application formats through a single automated process. Instead of requiring separate formatting procedures for each application, the system universally applies format adjustment based on the specific application's requirements, making the process both adaptable and simple.
Solution Approach 2:
The patent introduces an intermediary image processing system that sits between image upload and application presentation. This mediator automatically handles the format conversion between different enterprise application requirements, simplifying the overall system by centralizing the formatting complexity in a dedicated component rather than distributing it across multiple manual processes.
4Adaptability or versatility
If multiple copies of electronic images are created in different formats for different applications, then each application can receive properly formatted images, but processing and storage needs increase
Solution Approach 1:
Instead of creating multiple static image copies, the system dynamically generates the appropriate image format on-demand for each enterprise application. This dynamic approach allows the system to support multiple formats while maintaining only one master image, significantly reducing storage requirements while preserving full adaptability.
Data Source
AI summary
Techniques are described for processing an electronic image for presentation in a display of an enterprise application according to a format for presenting electronic image in the enterprise application. A format for an enterprise application may indicate display attributes such as an aspect ratio, a frame size, a resolution, or the like. The format for presenting an electronic image may correspond to a type of an enterprise application, a function of an enterprise application, a feature of an enterprise application, one or more subjects of the electronic image, other criteria associated with an enterprise application, or a combination thereof. These techniques may enable an electronic image to be adjusted for presentation in enterprise applications that have different formats. Users may benefit by not having to provide an electronic image adjusted to the different formats, thereby enabling a single electronic image to be used for a variety of enterprise applications.