Depth-Based Image Editing With Automatic Object Isolation
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Solution Overview
Problem
Existing techniques for displaying and editing images with depth information on electronic devices are cumbersome and inefficient, requiring complex user interfaces and redundant user inputs, which waste time and energy, particularly in battery-operated devices.
Innovation Solution
Implement methods and interfaces that utilize depth information to dynamically adjust simulated lighting levels and selectively edit image elements based on depth ranges, reducing the need for redundant user inputs and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing techniques are used to display and edit images, then image display functionality is provided, but the user interface becomes complex and time-consuming requiring multiple key presses
Solution Approach 1:
The patent combines multiple image editing functions (display, edit, delete) into a single unified interface where all operations can be performed through minimal user input. The system merges the functionality of separate editing tools into an integrated workspace that responds to simple gestures or commands, eliminating the need for multiple key presses or complex navigation sequences.
Solution Approach 2:
The system provides automatic image processing and editing capabilities that reduce the need for manual user intervention. Features such as automatic depth-based segmentation, intelligent object recognition, and automated editing operations allow the system to perform tasks autonomously, minimizing the time users need to spend on routine editing operations.
2Productivity
If existing techniques are used for image editing, then editing functionality is provided, but device energy is wasted due to redundant user inputs
Solution Approach 1:
The system performs preliminary processing of images by pre-segmenting objects based on depth information before the user initiates editing operations. Depth maps are generated and stored in advance, allowing the system to quickly identify and isolate specific regions for editing without requiring users to manually select or navigate through multiple menus, thereby reducing both time and energy consumption.
Solution Approach 2:
The patent utilizes depth information as an additional parameter to optimize image editing operations. By incorporating depth data, the system can automatically adjust editing parameters such as selection boundaries, transformation targets, and processing regions, eliminating the need for users to manually adjust these settings and reducing redundant input operations that consume energy.
3Ease of operation
If complex user interfaces are used, then comprehensive editing control is provided, but cognitive burden on users increases
Solution Approach 1:
The patent introduces depth information as a new dimension for interacting with 2D images. By utilizing depth maps and three-dimensional spatial information, the system enables users to select and edit objects based on their spatial position and depth characteristics rather than navigating through complex two-dimensional menu structures. This additional dimension simplifies the user interface by providing intuitive, gesture-based control mechanisms.
4Productivity
If multiple key presses are required, then precise editing control is achieved, but user time is wasted
Solution Approach 1:
The patent replaces traditional mechanical input methods (multiple key presses, button clicks) with alternative interaction mechanisms such as touch gestures, voice commands, or automated system responses. The system substitutes complex sequential input sequences with single-action commands that leverage depth-based object identification and automatic selection algorithms, dramatically reducing the time required to perform editing operations while maintaining precise control.
Data Source
AI summary
The present disclosure generally relates to displaying and editing an image with depth information. In response to an input, an object in the image having a one or more elements in a first depth range is identified. The identified object is then isolated from other elements in the image and displayed separately from the other elements. The isolated object may then be utilized in different applications.


