InterDigital had 30 patents in artificial intelligence during Q1 2024. InterDigital Inc has filed patents for methods and apparatuses related to editing sequences of pictures, zero-touch determination of transceiver authenticity in networks, blockchain-enabled model storage for federated learning, and data augmentation of RF data for improved RF fingerprinting. These patents cover a range of technologies aimed at enhancing various aspects of data processing and communication systems. GlobalData’s report on InterDigital gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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InterDigital grant share with artificial intelligence as a theme is 3% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: A method and an apparatus for editing multiple video shots (Patent ID: US20240087193A1)
The patent filed by InterDigital Inc. describes a method and apparatus for editing sequences of pictures by modifying one sequence based on user input and updating another sequence with the modification. The method involves determining mosaics and transformations for each video shot, updating pictures with modifications using a common embedding space, enforcing spatial invariance constraints, and utilizing color transforms and warping techniques for updating images.
The apparatus includes processors configured to edit video shots by determining mosaics and transformations, updating pictures with modifications using a common embedding space, enforcing spatial invariance constraints, and utilizing color transforms and warping techniques. The processors are further capable of determining visibility maps, spatial relationships, color correction models, and visibility information for each picture. The method and apparatus aim to efficiently edit sequences of pictures with a focus on maintaining consistency and quality across different shots by utilizing advanced techniques such as neural networks and local linear embedding for determining the common embedding space.
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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.
