Digital Note Tiling Algorithm for Memory-Constrained Editing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack efficient methods for managing and manipulating digital notes, particularly in terms of editing and interacting with them, especially on devices with limited memory.
Innovation Solution
The implementation of a tiling algorithm that divides the note image into smaller pieces, allowing for efficient memory use and providing a deep undo-buffer, along with a plus button feature for user interaction and a video capture method for converting 3D models of notes into digital notes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the entire note image is stored in memory for editing, then editing functionality is enabled, but memory consumption increases significantly
Solution Approach 1:
The note image is divided into multiple tiles that can be independently loaded and managed in memory. Only the currently visible or actively edited tiles are loaded, while other tiles remain on storage. This segmentation allows full editing capability across the entire note while maintaining low memory usage by processing one tile at a time.
2Duration of action of moving object
If multiple drawing layers are stored completely, then undo buffer depth is increased, but memory usage increases
Solution Approach 1:
Each drawing layer is divided into tiles, and only the necessary tiles for the current undo operation are loaded into memory. The system maintains a deep undo buffer by storing all layer changes on disk, loading only the specific tiles needed for each undo step, thus achieving both deep undo capability and low memory consumption.
3Manufacturing precision
If high-resolution digital notes are created from video capture, then note quality is improved, but processing complexity increases
Solution Approach 1:
The video capture process extracts individual note tiles at high resolution from the video stream. By processing and storing notes as segmented tiles rather than complete high-resolution images, the system achieves high note quality while reducing the overall processing complexity and memory requirements through manageable smaller units.
Data Source
AI summary
Methods for managing notes, either digital notes or images of physical notes. One feature uses multiple drawing layers divided into tiles to render drawing operations. The tiles with drawing changes are rendered in new tiles while tiles without changes are used from a previous drawing layer. This feature accommodates redo and undo commands by pushing or popping a layer on the history stack of layers. Another feature uses a displayed plus button that expands upon touch to display actions. A user can touch an action to select it and, upon releasing the touch, the action is executed with respect to displayed boards of digital notes. Another feature receives a 3D model of notes from a video scan and uses a transformation matrix to convert the notes in the 3D model to corresponding digital notes.