Gaze-Adaptive Image Segmentation for Bandwidth-Constrained Transmission
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Solution Overview
Problem
Conventional image transmission methods transmit images at full resolution, resulting in large data amounts and low transmission efficiency.
Innovation Solution
The method involves segmenting an image into multiple regions, assigning different resolutions to these regions, and transmitting them individually, with the region containing the gaze point maintained at original resolution and other regions down-sampled to lower resolutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full resolution image is transmitted, then image quality is maintained, but data amount increases and transmission speed decreases
Solution Approach 1:
The image is divided into multiple regions based on gaze information, with each region assigned different resolution levels. The region containing the gaze point is transmitted at full resolution while other regions are transmitted at lower resolutions, thereby reducing overall data amount while maintaining perceived image quality.
Solution Approach 2:
Different regions of the image are assigned different quality levels based on their importance. The gaze-point region receives high resolution for quality preservation, while non-gaze regions use lower resolution to reduce data transmission, achieving local optimization of quality versus data trade-off.
2Manufacturing precision
If full resolution image is transmitted, then image detail is preserved, but transmission time increases
Solution Approach 1:
The image transmission is segmented into multiple regional images with different resolution requirements. By transmitting only the necessary high-detail regions at full resolution and other regions at lower resolution, the total transmission time is reduced while preserving critical image details in the gaze region.
Solution Approach 2:
Instead of transmitting the entire image at full resolution, only the necessary portions (gaze regions) are transmitted at full resolution, while other portions use reduced resolution. This partial action approach reduces transmission time while maintaining sufficient image detail where needed.
3Productivity
If image is compressed to reduce data amount, then transmission efficiency improves, but image quality deteriorates
Solution Approach 1:
Different compression levels are applied to different regions based on their importance. The gaze-point region maintains high quality with minimal compression, while non-gaze regions accept higher compression to reduce data amount. This local differentiation resolves the contradiction between transmission efficiency and overall image quality.
Solution Approach 2:
The image is segmented into gaze regions and non-gaze regions, allowing different quality settings for each segment. This segmentation enables the system to achieve good transmission efficiency through compression in non-critical regions while preserving image quality in critical gaze regions.
Data Source
AI summary
Disclosed are a method and device for transmitting and displaying an image, a storage medium, and a processor. The method includes: segmenting a target image into multiple regions to obtain multiple regional images, where the multiple regions to which the regional images belong include a first region and a second region, the first region is a region on which a gaze point falls, and the second region is a region other than the first region in the target image; assigning resolutions to the respective regional images of the target image, where the respective regional images have different resolutions; and transmitting, one by one, the respective regional images have different resolutions.