Interactive Color Conversion via Instance and Pixel Tracking
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Solution Overview
Problem
Current colorization techniques for monochrome videos lack user interaction and designation capabilities, limiting their usability and effectiveness in image editing.
Innovation Solution
A user interface system that utilizes instance tracking and pixel tracking to receive user designations for color conversion, allowing for interactive image editing by presenting information and accepting user inputs for target selection and reference image usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If end-to-end network colorization is used, then color conversion can be automatically performed, but user interaction and designation capabilities are lost
Solution Approach 1:
The system segments the colorization process into distinct phases: automatic instance tracking to identify objects, pixel tracking to follow object movements, and user designation to select reference images. This segmentation allows both automatic processing and user interaction to coexist effectively.
Solution Approach 2:
The patent adds a temporal dimension to the colorization process by implementing frame-by-frame processing with user intervention points. Users can designate reference images at specific frames, and the system automatically propagates these designations through time using tracking algorithms, creating a multi-dimensional workflow that combines automation with user control.
2Ease of operation
If user designation capability is added, then usability is improved, but system complexity increases
Solution Approach 1:
The patent introduces tracking algorithms as intermediaries between user actions and color conversion results. Users designate reference images for specific instances, and the tracking system automatically propagates these designations across frames, reducing the burden on users while maintaining control.
Solution Approach 2:
The system performs self-service through automatic instance tracking and pixel tracking that continuously monitor object movements and maintain designations without requiring constant user input. The tracking algorithms automatically update object positions and propagate color conversions across frames.
3Measurement precision
If instance tracking and pixel tracking are implemented, then color conversion accuracy is improved, but processing complexity increases
Solution Approach 1:
The system segments tracking into two distinct levels: instance tracking that identifies and follows entire objects, and pixel tracking that follows specific pixels within objects. This segmentation allows the system to apply appropriate tracking complexity only where needed, improving accuracy while managing processing load.
Solution Approach 2:
The system performs preliminary instance tracking to identify objects and their trajectories before applying pixel-level tracking and color conversion. This preliminary action reduces the overall complexity by establishing object boundaries and movement patterns in advance.
Data Source
AI summary
A user interface system according to the present disclosure include a presentation means that presents information for receiving, from a user, designation related to a target to be subjected to color conversion by image editing for converting a color of an image using instance tracking and pixel tracking, and an acceptance means that receives the designation by the user.