Clarivate has been granted a patent for a method involving neural networks to search an image database. The method includes receiving an adulterated image with object annotations, applying neural networks for correlation with a reference database, and selecting matching images based on correlation values. The process also involves applying masking through object recognition and computer vision techniques. GlobalData’s report on Clarivate gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Clarivate, was a key innovation area identified from patents. Clarivate's grant share as of February 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.

Image database search method using neural networks and object recognition

Source: United States Patent and Trademark Office (USPTO). Credit: Clarivate Plc

A recently granted patent (Publication Number: US11908053B2) discloses a method for searching an image database using advanced neural network technology. The method involves receiving an adulterated image of an object with annotations, applying neural networks for image editing and object recognition, correlating the results with a reference database, and selecting matching images based on correlation values above a threshold. Additionally, a masking process is applied to the adulterated image, including object recognition, computer vision for callout feature detection, and generating a contour mask of the object based on the detected features.

Furthermore, the patent includes claims for a non-transitory computer-readable storage medium storing instructions for executing the image searching method and an apparatus with processing circuitry for implementing the method. The processing circuitry is configured to edit images, correlate results with a reference database, and generate contour masks through object segmentation. These innovative techniques leverage neural networks for image processing and recognition, enhancing the efficiency and accuracy of image searches within databases. The patent highlights the integration of advanced technologies to streamline image retrieval processes and improve the overall user experience in accessing visual information.

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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.