Mobile Image Selection via Location Boundary Marking
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Solution Overview
Problem
Current image selection methods on mobile devices are inefficient due to slow browsing speeds and difficulty in distinguishing between sent and unsent images, leading to errors and repeated sharing.
Innovation Solution
A method and apparatus for quickly selecting images by using a location image as a boundary to mark and identify sent images, allowing users to efficiently scroll and select remaining images, with marking techniques such as dynamic identification and special style identification to differentiate between sent and unsent images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users scroll through images sequentially to distinguish sent and unsent images, then users can select images for sharing, but browsing speed becomes slow and judgment errors increase
Solution Approach 1:
The system performs preliminary actions by automatically marking images as 'sent' or 'unsent' before the user needs to select them. Location images are pre-identified and marked with special visual indicators, so when users access the gallery, the distinction between sent and unsent images is already prepared, eliminating the need for users to manually distinguish them during browsing.
Solution Approach 2:
The patent applies visual marking techniques including color changes to differentiate sent and unsent images. Location images are marked with special styles such as different colors, borders, or symbols, making it visually obvious which images have been sent. This visual differentiation allows users to quickly identify and select unsent images without slow sequential checking.
2Reliability
If users manually distinguish between sent and unsent images, then image selection can be completed, but judgment errors increase leading to repeated sharing
Solution Approach 1:
The system implements feedback by providing visual markers on location images that immediately inform users whether an image has been sent. When users view the gallery, marked location images provide instant feedback about the sending status, preventing judgment errors. The system also provides feedback by allowing users to quickly verify sending status through the markers, reducing the need for repeated checking and sharing.
Solution Approach 2:
The patent introduces an intermediary element - the location image marker - that mediates between the system's internal tracking of sent images and the user's need to identify them. Instead of requiring users to directly check sending status, the marker serves as an intermediary visual indicator that conveys this information quickly and accurately, reducing both errors and time loss.
3Productivity
If multiple images are selected without clear boundaries, then sharing can proceed, but duplication and unintentional operations increase
Solution Approach 1:
The patent applies segmentation by dividing images into distinct categories: sent images, unsent images, and location images. Each category is visually differentiated through marking. This segmentation creates clear boundaries between different groups of images, allowing users to efficiently select multiple unsent images for sharing while avoiding duplication, as the visual markers clearly indicate which images have already been shared.
Data Source
AI summary
Disclosed in the embodiments of the disclosure is a method of selecting images for quickly selecting multiple images from a gallery of a mobile device, comprising: sequentially searching for a location image in the gallery; if the location image can be found, using the location image as a boundary and selecting the multiple images from other images of the plurality of images outside of the boundary; if the location image cannot be found, selecting multiple images from the plurality of images of the gallery; marking the selected images. Locating images via marking minimizes the interference in image selection, improves the efficiency in filtering images, and shortens the time therein, reducing the cost in selecting images.


