Image Processing System Using Sample Picture Segmentation
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Solution Overview
Problem
Existing methods for sending high-definition images through instant messaging software lead to server resource overconsumption and inefficient communication, as they require storing and transmitting large data sizes, and result in unfavorable user experiences when high-definition pictures are not needed or cannot be displayed.
Innovation Solution
The method involves the first terminal sending a sample picture and its save path to the server, which then forwards the sample picture to the second terminal, allowing the server to store only the save path and acquire the original picture only upon request, thus reducing resource usage and improving flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the server stores and forwards high-definition pictures, then the picture quality is preserved, but the server storage resources are consumed excessively
Solution Approach 1:
The picture transmission process is segmented into two stages: first transmitting a compressed sample picture for preview, then conditionally transmitting the original high-definition picture only when needed. This segmentation allows the system to separate the always-needed picture quality from the optional full-resolution transmission, reducing routine server storage consumption.
Solution Approach 2:
The system performs preliminary action by sending a compressed sample picture before the original high-definition picture. This preliminary sample allows the receiver to preview the picture content and determine whether full-resolution transmission is necessary, preventing wasteful transmission of large files when not needed.
2Manufacturing precision
If the server stores and forwards high-definition pictures, then the original picture quality is maintained, but the communication resources are used inefficiently
Solution Approach 1:
The system implements dynamic picture transmission by making the transmission of original high-definition pictures conditional rather than automatic. The decision to transmit full-resolution images is made dynamically based on receiver feedback and actual display needs, optimizing communication resource usage according to real-time requirements.
Solution Approach 2:
The system uses feedback mechanisms where the receiver indicates whether it needs or can display high-definition pictures. This feedback loop allows the sender to adjust transmission behavior, sending only compressed samples when full quality is not needed, thereby improving communication efficiency while maintaining quality when required.
3Manufacturing precision
If the server stores and forwards high-definition pictures, then the picture detail is preserved, but the user experience deteriorates when high-definition display is not needed
Solution Approach 1:
The system applies local quality by providing different picture qualities to different users or different situations. Compressed sample pictures are provided universally for quick preview, while original high-definition pictures are provided locally only to those who need and can display them, creating an optimized user experience tailored to individual capabilities and needs.
Data Source
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AI summary
The present invention relates to an information processing method, apparatus, storage medium and system. The method includes: determining, by processing circuitry of the information processing apparatus, an original image having an original image size and a storage path of the original image. The information processing method also includes determining a sample image having a sample image size from the original image by adjusting at least one image parameter. The sample image size is smaller than the original image size. The information processing method includes sending the sample image and the storage path of the original image to a server device.