Cooperative Image Splicing via Multi-Device Collaboration
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Solution Overview
Problem
Current image splicing methods are monotonous and lack interactivity, primarily allowing only single-user participation, resulting in poor user experience and limited flexibility.
Innovation Solution
A method for cooperative image splicing that involves a source electronic device sending a request to multiple target devices, allowing multiple users to contribute images and perform operations, with a server facilitating the process to generate a combined spliced image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional single-user image splicing method is used, then the operation process is simple, but the interactivity and user experience are poor
Solution Approach 1:
The patent segments the image splicing process into multiple independent stages: template selection, image selection, image processing operations, and result generation. Each stage can be independently controlled by different users, enabling collaborative interaction while maintaining operational simplicity through clear stage separation.
Solution Approach 2:
The patent introduces a new dimension of user participation by transitioning from single-user to multi-user collaboration. Multiple users can simultaneously participate in different aspects of the splicing process (e.g., one user selects templates while another selects images), thereby enhancing interactivity without complicating individual user operations.
2Device complexity
If traditional single-user image splicing method is used, then the system complexity is low, but the flexibility and variety of image combinations are limited
Solution Approach 1:
The patent creates a universal image splicing system that can accommodate multiple users with different roles and requirements. The system supports various image splicing templates, multiple image sources from different users, and diverse processing operations, all within a unified framework that manages complexity through standardized interfaces and processes.
Solution Approach 2:
The patent introduces a server as an intermediary that manages the complex coordination between multiple users. The server handles template distribution, image collection, operation coordination, and result synthesis, thereby enabling flexible multi-user collaboration without requiring direct peer-to-peer communication that would increase system complexity.
3Adaptability or versatility
If multi-user collaborative image splicing is implemented, then the interactivity and user experience are improved, but the system complexity increases
Solution Approach 1:
The server acts as a central intermediary that manages all interactions between multiple users. It handles template distribution, collects images from different users, coordinates processing operations, and synthesizes the final spliced image. This centralized mediation enables rich interactivity while managing system complexity through a single point of coordination rather than complex peer-to-peer interactions.
Solution Approach 2:
The system implements feedback mechanisms where the server provides real-time status information to users about the splicing process, such as which users have contributed images, current processing state, and preview of the spliced result. This feedback enables users to adjust their contributions and operations dynamically, improving interactivity while maintaining manageable complexity through structured communication channels.
Data Source
AI summary
Embodiments of the present disclosure provides a method for image splicing. The method may include: receiving a cooperative image-splicing request sent by a source electronic device, in which the cooperative image-splicing request includes an identifier of a target image-splicing template and N cooperative-partner identifiers, and N is an integer greater than or equal to 1; sending the cooperative image-splicing request to N target electronic devices corresponding to the N cooperative-partner identifiers respectively; and acquiring a target spliced image according to image splicing operations of the source electronic device and the N target electronic devices.