Progressive Image Rendering via Salient Region Segmentation
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Solution Overview
Problem
Conventional image rendering techniques display images sequentially from top to bottom, leading to undue delays in displaying salient features and unnecessary engagement of pre-attentive mechanisms in viewers, which burdens cognitive resources and increases waiting times for users.
Innovation Solution
A computing device is configured to progressively render an image by determining a bounding region for the salient portion and rendering a high-resolution version of this region while rendering a low-resolution version of the rest of the image, allowing salient features to be displayed first.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If images are rendered sequentially from top to bottom, then the rendering process is simple and systematic, but the display of salient features is delayed and user waiting time increases
Solution Approach 1:
The image is divided into multiple tiles, with the salient portion identified as a specific tile or set of tiles. This segmentation allows the rendering system to prioritize processing of the salient tile(s) while processing other tiles in parallel or sequentially, thereby reducing the time to display important features without requiring complete reprocessing of the entire image
Solution Approach 2:
The system performs preliminary identification of the salient portion of the image before complete rendering. By determining which portion contains salient features in advance (through analysis of the encoded image data or metadata), the system can prepare and render this portion first, allowing users to see important content sooner while the rest of the image continues to render
2Manufacturing precision
If the entire image is rendered at high resolution, then image quality is maximized, but rendering time and computational resources increase
Solution Approach 1:
Different resolution levels are applied to different portions of the image based on their importance. The salient portion is rendered at high resolution to maintain image quality where it matters most, while non-salient portions are rendered at lower resolution. This selective quality approach maintains overall image quality perception while significantly reducing total rendering time and computational resources required
3Ease of operation
If sequential rendering is used, then the rendering process is straightforward to implement, but cognitive load on users increases due to delayed salient feature display
Solution Approach 1:
By segmenting the image into tiles and identifying which tile contains the salient portion, the system can render and display that specific tile first. This segmentation approach maintains relatively simple implementation logic while dramatically improving user experience by reducing cognitive load - users see the important content immediately rather than waiting for sequential rendering to progress through the entire image
Data Source
AI summary
A computer-implemented method is provided. The method includes receiving, via a computing device, a plurality of bytes of an encoded image, wherein the encoded image comprises a salient portion. The method further includes determining a bounding region for the encoded image, wherein the bounding region is indicative of a location of the salient portion in the encoded image. The method also includes progressively rendering a decoded version of the encoded image, wherein the progressively rendering comprises rendering a high resolution version of the bounding region, and a low resolution version of a portion outside the bounding region.