Remote Graphics Delivery via Visual Focus Encoding
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Solution Overview
Problem
Existing desktop virtualization systems face limitations in delivering high-quality remote graphics due to bandwidth constraints, leading to data quality degradation, which is particularly problematic for industries that require high data integrity such as design, healthcare, avionics, finance, and engineering.
Innovation Solution
The method involves determining a user's visual focus region on a client device, separating the image into a region of interest and a non-region of interest, applying lossless encoding to the former and lossy encoding to the latter, and transmitting them through channels with different bandwidth allocations, ensuring higher resolution for focused areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If data compression is used to conserve bandwidth, then network bandwidth efficiency is improved, but data quality deteriorates
Solution Approach 1:
The image is divided into multiple regions based on visual focus detection. The region corresponding to the user's visual focus area is separated from the rest of the image, allowing different compression strategies to be applied to each segment independently.
Solution Approach 2:
Different compression quality levels are applied to different regions of the image. The region of interest (visual focus area) receives lossless or high-quality compression to maintain data integrity, while non-interest regions use lossy compression to conserve bandwidth, thus achieving local optimization of quality versus bandwidth trade-off.
2Loss of information
If lossless encoding is applied to the entire image, then data quality is maintained, but bandwidth consumption increases
Solution Approach 1:
Instead of applying lossless encoding to the entire image (excessive action), the system applies lossless encoding only to the partial region corresponding to the user's visual focus area. The remaining regions use lossy encoding, thus reducing overall bandwidth consumption while maintaining quality where it matters most.
3Loss of energy
If lossy encoding is applied to the entire image, then bandwidth is conserved, but data quality degrades
Solution Approach 1:
Instead of applying lossy encoding to the entire image (excessive compression), the system applies lossy encoding only to non-critical regions. The critical visual focus region maintains lossless or high-quality encoding, thus preserving overall data quality while still achieving bandwidth conservation through selective compression.
Data Source
AI summary
Methods and systems for optimizing and enhancing remote graphics on client devices are presented. A client device may determine a visual focus region of a display of the client device based on a user input. A server may receive, from the client device, data regarding the visual focus region of the display. The server may determine a first subset of an image that corresponds to the visual focus region of the display and a second subset of the image that is external to the visual focus region of the display. The server may apply a lossless encoding to the first subset and a lossy encoding to the second subset. The server may then transmit, to the client device, the first subset through a first channel and the second subset through a second channel, wherein the first channel comprises a higher network bandwidth allocation than the second channel.