Mobile Image Editing Area Segmentation for Panoramics
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Solution Overview
Problem
Conventional user interfaces for displaying and editing panoramic images on smartphones make it difficult for users to perform image operations due to the assignment of scrolling functions to 'dragging' actions, which complicates editing and navigation.
Innovation Solution
An information processing method that separates the image into an editing area and a changing area, allowing the editing area to move when operated on outside its boundaries and remaining stationary when operated within, facilitating intuitive image editing and navigation by clearly distinguishing between these areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a conventional UI assigns scrolling function to dragging action on panoramic image, then the image can be scrolled, but it becomes difficult for users to execute image operations such as editing
Solution Approach 1:
The panoramic image is divided into two distinct areas: a first area that responds to dragging operations for scrolling, and a second area that responds to tapping operations for editing. This segmentation allows different operations to be performed in different zones without conflict, resolving the contradiction between scrolling and editing functionality.
Solution Approach 2:
Different operational characteristics are assigned to different regions of the image. The first area (peripheral region) is configured to respond to dragging operations, while the second area (central region) is configured to respond to tapping operations. This local differentiation enables both scrolling and editing functions to coexist without interference.
2Adaptability or versatility
If the entire image is made editable, then editing flexibility is improved, but navigation and operation become confusing
Solution Approach 1:
The image is segmented into a first area for navigation/scrolling and a second area for editing operations. This clear division allows users to understand which operations are appropriate in which regions, improving navigation clarity while maintaining editing flexibility in the designated area.
Solution Approach 2:
Different functional qualities are assigned to different parts of the image. The central second area has editing-enabled quality, while the peripheral first area has navigation-optimized quality. This local quality differentiation resolves the contradiction between editing flexibility and navigation clarity.
3Ease of operation
If dragging operation moves the entire image, then scrolling is achieved, but precise editing operations become difficult
Solution Approach 1:
By segmenting the image into dragging-responsive and editing-responsive areas, the patent ensures that dragging operations only affect the overall view (scrolling) without interfering with precise editing operations in the second area. This segmentation maintains both scrolling functionality and editing precision.
Solution Approach 2:
The peripheral first area is given scrolling-optimized characteristics where dragging moves the image for navigation, while the central second area maintains editing-optimized characteristics where tapping operations provide precise editing. This local quality assignment resolves the contradiction between scrolling and editing precision.
Data Source
AI summary
An information processing method for causing a computer to process an image, wherein the image processing method causes the computer to execute an acquisition step of acquiring the image, and an output step of outputting an output image by separating between an editing area that is a predetermined area where the image is editable on the image and a changing area other than the predetermined area on the image, wherein, in a case where an operation is done on the changing area, the editing area is moved, and in a case where an operation is done on the editing area, the editing area is not moved.