Mobile Terminal Image Resolution Control for Network Congestion
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Solution Overview
Problem
In mobile communication terminals, the high data transmission requirements for video telephony services lead to data loss and broken images due to network congestion, limiting the frame per second (fps) and resulting in poor video quality and reliability.
Innovation Solution
An image data processing system and method that analyzes traffic conditions and automatically reduces the image resolution using pre-set threshold values, applying a window to the image to minimize data transmission while maintaining continuous video transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image data is transmitted at maximum resolution, then image quality is improved, but data transmission volume increases causing network congestion and data loss
Solution Approach 1:
The patent dynamically changes the resolution parameter of image data based on network traffic conditions. When network congestion is detected, the system reduces image resolution to decrease data transmission volume, while maintaining higher resolution when network conditions are good, thus resolving the contradiction between image quality and data transmission volume.
Solution Approach 2:
The patent implements dynamic resolution adjustment where the image resolution is not fixed but adapts in real-time according to network traffic state. The system continuously monitors network conditions and adjusts the resolution parameter dynamically, allowing the transmission system to optimize between quality and data volume based on current conditions.
2Reliability
If frame per second (fps) is increased, then video naturalness is improved, but data transmission volume increases leading to higher data loss probability
Solution Approach 1:
The patent applies parameter changes by adjusting the fps parameter based on network traffic conditions. When network congestion is detected, the system reduces fps to decrease data transmission volume and minimize data loss, while maintaining higher fps when network conditions are favorable, thus resolving the contradiction between video naturalness and data loss probability.
Solution Approach 2:
The patent implements a feedback mechanism where the system monitors network traffic conditions and uses this information to adjust the fps parameter. The traffic analysis unit provides feedback about network state, which is then used to control the frame transmission rate, creating a closed-loop system that adapts fps to network conditions to prevent data loss while maintaining video quality.
3Reliability
If image resolution is reduced to decrease data transmission volume, then network reliability is improved, but image quality deteriorates
Solution Approach 1:
The patent uses dynamic resolution adjustment where the image resolution is adaptively changed based on real-time network traffic conditions. Rather than using a fixed low resolution, the system dynamically scales resolution to match network capacity, ensuring the highest possible image quality while maintaining network reliability under varying conditions.
Solution Approach 2:
The patent changes the resolution parameter dynamically based on network traffic state. When network conditions improve, the system increases resolution to enhance image quality. When congestion is detected, resolution is reduced to ensure reliable transmission. This parameter adaptation resolves the contradiction by making resolution contingent on network reliability conditions.
4Manufacturing precision
If high capacity image data is transmitted without resolution reduction, then image detail is preserved, but transmission time exceeds network capacity causing broken images
Solution Approach 1:
The patent applies parameter changes by adjusting the resolution parameter to control transmission time. When network traffic indicates congestion or when transmission time would exceed network capacity, the system reduces resolution to decrease data volume and ensure timely transmission. This prevents broken images while preserving image detail to the extent possible under current network conditions.
Solution Approach 2:
The patent performs preliminary resolution adjustment before image transmission based on predicted or current network conditions. By analyzing traffic state in advance and pre-adjusting resolution, the system ensures that images are prepared in a size appropriate for current network capacity, preventing transmission delays and broken images while maintaining the highest feasible image detail.
Data Source
AI summary
In an image processing method for a mobile communication terminal, a threshold value is set in advance for a state of traffic. A processing buffer of a second layer of the mobile terminal then analyzes a current state of traffic and compares it with the pre-set threshold value. If the traffic exceeds the threshold value, resolution of an image input through a camera is reduced, and the resolution-reduced image is transmitted. As a result, a natural looking image can be provided according to the state of traffic and thus reliability of a service quality can be enhanced.