Image Processing Priority Segmentation for Cloud Latency
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Solution Overview
Problem
The delay in image processing due to network environment limitations in cloud-based image processing services leads to decreased data transfer rates between electronic devices and cloud servers, affecting the quality and efficiency of multimedia services.
Innovation Solution
Implementing a method where the electronic device prioritizes and segments image data based on priority, transmitting only necessary data to an external device for processing, which then generates and transmits image processing information back to improve image quality, allowing for efficient image correction and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image data is transmitted to a cloud server for processing, then image quality is improved through advanced processing techniques, but processing time increases due to network delays
Solution Approach 1:
The patent segments image data into multiple priority levels (first priority, second priority, third priority) and transmits them separately. High-priority regions (e.g., objects of interest, important features) are transmitted and processed first, allowing the system to achieve acceptable image quality faster while lower-priority regions are processed subsequently. This resolves the contradiction by providing progressive quality improvement without waiting for complete image processing.
Solution Approach 2:
The patent performs preliminary processing of image data by identifying and segmenting high-priority regions before transmission to the cloud server. By pre-processing the image to extract only the most important regions, the system reduces the amount of data that needs to be transmitted and processed remotely, thereby reducing processing time while maintaining image quality for the most critical areas.
2Manufacturing precision
If all image data is transmitted to the cloud server, then complete image processing is achieved, but data transfer rate decreases due to network limitations
Solution Approach 1:
The patent divides the image into multiple priority-based segments and transmits them in order of importance rather than transmitting the entire image at once. This segmentation allows the system to achieve meaningful image processing results with only a portion of the image data, effectively increasing the data transfer rate by reducing the total data volume that must be transmitted over the network.
Solution Approach 2:
The patent applies partial action by transmitting and processing only the most critical portions of the image (high-priority regions) first, rather than waiting to transmit and process the complete image. This allows the system to achieve sufficient image processing quality with partial data transmission, thereby improving data transfer efficiency and reducing network bandwidth requirements.
3Productivity
If image processing is performed locally on the electronic device, then processing speed is maintained, but advanced processing techniques that require cloud computing cannot be utilized
Solution Approach 1:
The patent segments image processing into two parts: local preprocessing (segmentation, priority assignment, and initial processing) performed on the electronic device to maintain speed, and advanced processing (complex algorithms, machine learning, enhancement) performed on the cloud server. This division allows the system to leverage both local processing speed and cloud-based advanced capabilities, resolving the contradiction between processing speed and processing capability.
Solution Approach 2:
The patent introduces a cloud server as an intermediary between the electronic device and the final processed image. The device sends segmented high-priority image data to the cloud server for advanced processing, which then returns processed results. This intermediary enables the system to access advanced processing techniques while minimizing network interaction to only essential data exchanges, thereby maintaining processing efficiency while expanding capability.
Data Source
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AI summary
An electronic device is provided that includes a camera, a communication module, a display, and a processor. The processor may be configured to acquire a raw image for one or more external objects by using the camera, recognize the one or more external objects by segmenting the raw image into a plurality of regions corresponding to the one or more external objects, determine a priority for at least a partial region among the plurality of regions based on at least one object of interest among the one or more external objects, transmit data corresponding to at least the partial region to an external electronic device according to the priority so that the external electronic device generates image processing information for at least the partial region, and display the raw image of which at least the partial region is sequentially corrected according to the priority, via the display by using the image processing information.