Multi-Touch Image Rendering via Content Block Segmentation
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Solution Overview
Problem
Conventional gesture-based zooming techniques on multi-touch devices display coarse, low-definition images with significant lag, resulting in a poor user experience due to the time-consuming download of high-resolution images.
Innovation Solution
The method involves subdividing high-resolution images into content blocks, allowing for the efficient display of high-resolution images by fetching and displaying individual blocks based on user input, such as a spread gesture, thereby reducing wait times and optimizing image rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional gesture-based zooming techniques are used to display high-resolution images, then image quality is improved, but download time and lag increase significantly
Solution Approach 1:
The patent divides a high-resolution image into multiple lower-resolution tiles or segments. Instead of downloading the entire high-resolution image at once, the system downloads and displays individual tiles as needed based on user interaction. This segmentation allows the image to be displayed in manageable portions, reducing overall download time while maintaining high resolution where the user is actually looking.
Solution Approach 2:
The system performs preliminary actions by pre-downloading and caching lower-resolution versions of image tiles before the user actually needs to view them. When a user zooms or navigates to a specific area, the corresponding high-resolution tiles are already prepared or can be quickly fetched, reducing perceived lag time. This preliminary preparation of content accelerates the overall user experience.
2Manufacturing precision
If conventional gesture-based zooming techniques are used, then high-resolution imagery can be displayed, but user experience deteriorates due to lag and waiting time
Solution Approach 1:
By segmenting the image into displayable tiles that load progressively, the system eliminates the need for users to wait for entire high-resolution images to download before interaction. Users can navigate and zoom through segmented content with minimal delay, as only the currently viewed portion needs to be fully loaded.
Solution Approach 2:
The system implements partial loading by downloading only the portion of the image that is currently visible or likely to be viewed next, rather than waiting for the complete high-resolution image to download. This partial action approach provides sufficient image quality for user interaction without requiring the full image to be ready, significantly improving responsiveness.
3Manufacturing precision
If complete high-resolution images are downloaded before display, then image quality is ensured, but download time and network resource consumption increase
Solution Approach 1:
The patent implements segmentation by dividing the complete high-resolution image into multiple smaller tiles or blocks. Each tile can be independently downloaded and displayed at high resolution without requiring the entire image to be fetched first. This approach maintains image quality in the displayed regions while dramatically reducing the amount of data that needs to be transferred at any one time.
Solution Approach 2:
The system performs preliminary actions by pre-processing images into tileable segments and caching metadata about their locations and resolutions. This preliminary organization allows for rapid assembly and display of high-resolution image portions without requiring complete image downloads, thereby improving display efficiency and reducing network resource consumption.
Data Source
AI summary
Disclosed is a system and method for gesture-based content-object rendering. The present disclosure provides for optimized display of a high-resolution image upon receiving input, such as a spread gesture, from a user respective of a displayed low-resolution image. The low-resolution and high-resolution image are subdivided into content objects or blocks and stored in a content database. Upon receiving the user input, the input areas respective of the image is identified, and the high-resolution image block is displayed. Subsequently, adjacent blocks corresponding to the input area are then displayed to effectuate an efficient download of the high-resolution image.