Atlassian Corp has been granted a patent for a computer-implemented method that involves analyzing digital images to identify markers, extracting writing near the markers, and transforming the data subsets into a structured digital document. The system can detect region markers, tables, and headers in the images for efficient document creation. GlobalData’s report on Atlassian Corp gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Atlassian Corp, Cold-formed steel was a key innovation area identified from patents. Atlassian Corp's grant share as of April 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Image analysis system for creating digital documents from images
A recently granted patent (Publication Number: US11960819B2) discloses a computer-implemented method for analyzing digital images to identify markers and writings within the image. The method involves transforming digital image data subsets into digital document data subsets by applying structured formats to create a digital document. The patent details the process of identifying markers such as header, table, list, and avatar markers within the digital image and associating them with specific content types in the digital document. The resulting digital document is formatted in accordance with XML or HTML formats, providing a structured and organized representation of the original image content.
Furthermore, the patent describes a system for generating digital documents, comprising a processor, communications interface, and computer-readable storage media. The system is designed to identify markers, writings, and digital image data subsets within a received digital image. By transforming these subsets into digital document data subsets and applying structured formats based on markers, the system generates a digital document with different types of content corresponding to the markers. The system includes components for image reception, analysis, and document creation, ensuring a seamless transition from digital image content to a structured digital document. Additionally, the system accounts for markers such as table, heading, and flow markers, allowing for the inclusion of specific content types in the final digital document while omitting irrelevant content associated with null markers in the original digital image.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
