Live Video Image Editing for Cross-Device Print Preview
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Solution Overview
Problem
Existing technologies face challenges in allowing users to effectively visualize and edit images and videos together on a screen, particularly in the context of printed matter, where the visual impact of edits on one user's device is difficult to predict for another user's device.
Innovation Solution
An editing device and image processing system that allows users to edit a first image displayed with a first video as a background, applying filters and virtual images, and saves editing content for later display on another device, using a processor to adjust image quality and apply filters based on detected codes on printed matter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users edit images while viewing live video background on screen, then the editing functionality is enabled, but users cannot effectively visualize the impact of edits on image quality and visual impression
Solution Approach 1:
The system creates a visual copy of the live video feed and overlays it with the edited image, allowing users to see the editing impact in real-time. The edited image is superimposed on the video background, providing immediate visual feedback without losing the context of the original scene.
Solution Approach 2:
The system transitions from traditional sequential editing (edit then view) to simultaneous multi-dimensional display where the edited image and live video coexist on the same screen. This allows users to compare the edited result with the original live feed side-by-side, enhancing visual feedback.
2Illumination intensity
If the system displays edited content with high quality on screen, then visual impact is enhanced, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing by pre-calculating and storing multiple versions of the edited image at different quality levels. When displaying, it selectively applies the appropriate processing intensity based on the live video feed, reducing real-time computational burden while maintaining high visual impact.
Solution Approach 2:
The system dynamically adjusts the processing quality and computational intensity based on real-time conditions such as video resolution, editing complexity, and device performance. This allows the system to optimize between image quality and processing time adaptively.
3Adaptability or versatility
If the system allows offline processing and display of edited content on other devices, then accessibility and sharing are improved, but synchronization and consistency become more complex
Solution Approach 1:
The system extracts the essential editing information (edit parameters, filters, adjustments) from the full editing application and stores it separately. This allows the edited content to be transferred and displayed on other devices without requiring the complete editing software, simplifying cross-device compatibility.
Solution Approach 2:
The system creates a universal format for edited content that can be viewed and displayed on multiple device types (smartphones, tablets, computers) without requiring device-specific processing. The edited image with embedded video background is rendered universally across different platforms.
Data Source
AI summary
An editing device includes a first processor. The first processor is configured to display a first image on a first screen and a first video, as a background image of the first image, on the first screen, and edit an inside of the first screen in response to a provided instruction in a state where the first image and the first video are displayed on the first screen.