Adeia‘s patent involves a method to enhance social media posts by overlaying relevant content items onto non-focus portions of frames. By analyzing audience preferences and estimated viewing time, the technology aims to improve engagement with tailored content. GlobalData’s report on Adeia 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 Adeia, was a key innovation area identified from patents. Adeia's grant share as of April 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Enhancing social media posts with integrated content items
A recently granted patent (Publication Number: US11973733B2) outlines a method for enhancing content items by integrating related portions of different objects into frames. The method involves recognizing objects in separate content items, determining relationships between their portions, and generating an enhanced content item by combining these related portions. This enhanced content item is then displayed, with the option to target its display to specific entities based on the established relationships.
Furthermore, the patent describes a system and a non-transitory computer-readable medium that can execute the method outlined in the claims. The system includes circuitry that performs the steps of recognizing objects, determining relationships, and generating enhanced content items. It also has the capability to target the display of these enhanced content items based on established relationships and user preferences. The computer-readable medium contains encoded instructions for the circuitry to execute the method, including determining user metadata, preferences, relevance between content items, and objects intended to draw attention. Overall, this patent introduces a comprehensive approach to enhancing content items by integrating related portions from different objects, with a focus on personalized targeting and user preferences.
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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.
