Thin Client Image Transmission with Adaptive Compression
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Solution Overview
Problem
Thin client systems face performance issues due to inefficient data transmission of large amounts of image data, particularly when handling high-definition images and moving images, leading to deteriorated response times, as existing technologies are limited in versatility and require specific media applications to function effectively.
Innovation Solution
An information processing apparatus that detects changes between image frames, compresses images using different compression methods based on detected changes, and transmits only the compressed images when the changes exceed a predetermined threshold, allowing for efficient data transmission without relying on specific media applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If image data is transmitted using existing protocols (RDP, RFB) in thin client systems, then the system can display images and moving images, but the response time deteriorates due to the large amount of data transmission
Solution Approach 1:
The patent divides the image transmission process into two distinct modes: a first transmission mode for normal image data and a second transmission mode for compressed image data. This segmentation allows the system to select the appropriate transmission mode based on the specific requirements of the image content, thereby reducing overall data transmission volume and improving response time.
Solution Approach 2:
The patent changes the compression parameter by applying different compression methods depending on the type of image content. For moving images and high-definition images, a second compression method is applied that is more aggressive in reducing data size. This parameter change enables significant reduction in data transmission volume while maintaining acceptable image quality.
2Adaptability or versatility
If a single compression method is used for all image transmissions, then the system is simple to implement, but it cannot efficiently handle different types of images (still images, moving images, high-definition images)
Solution Approach 1:
The patent introduces a dynamic compression system that automatically selects between different compression methods based on the characteristics of the image content. The system dynamically adjusts the compression approach for still images, moving images, and high-definition images, providing adaptability without requiring manual configuration or complex user intervention.
Solution Approach 2:
The patent creates a universal compression framework that can handle multiple types of images (still images, moving images, high-definition images) using a single system. The framework incorporates multiple compression methods that can be selectively applied, making the system versatile across different image types while maintaining a unified architecture.
3Productivity
If image data is compressed using a second compression method for high-frequency change areas, then data transmission efficiency improves, but the compression system becomes more complex
Solution Approach 1:
The patent applies different compression qualities to different regions of the image based on their characteristics. For areas with high-frequency changes (such as moving images), a more aggressive second compression method is applied. For static areas, the first compression method is sufficient. This local quality approach optimizes data transmission efficiency while avoiding unnecessary complexity in regions where it is not needed.
Data Source
AI summary
An information processing apparatus that generates images for displaying a computer execution result on a display unit of a terminal device connected through a network and that transmits the images to the terminal device. The apparatus includes an image memory that holds the images; a first transmitting unit that transmits the images, a detecting unit that detects an area obtained by updating accumulated changes between frames of the images or a frequency of changes between frames of the images, and a second transmitting unit that compresses the images by a compression method and that transmits the compressed images, when the area or the frequency detected by the detecting unit is larger than or equal to a predetermined threshold, the compression method being different from a compression method for the first transmitting unit.