Microsoft Technology Licensing, LLC

Daniel Coelho De Castro

Sebastian Nowozin

Cecily Peregrine Borgatti Morrison

Tom Ellis

Hoifung Poon

Aditya Vithal Nori

Anton Schwaighofer

Javier Alvarez-valle

Ozan Oktay

Melanie Bernhardt

Shruthi Jaisimha Bannur

A computer implemented method comprising: receiving a report on a condition of a human or animal subject, composed by a user based on a scan of the subject; inputting the current report and the scan into a trained machine learning model; and based on the report and the scan, the machine learning model generating one or more suggestions for updating the text of the report. The method further comprises causing a user interface to display to the user one or more suggestions for updating the text of the report, with each respective suggestion visually linked in the user interface to a corresponding subregion within at least one image of the scan based upon which the respective suggestion was generated.

Generating reports from scanned images

An image processing system is described which has a memory holding at least one image depicting at least one person previously unseen by the image processing system. The system has a trained probabilistic model which describes a relationship between image features, context, identities and a plurality of names of people, wherein at least one of the identities identifies a person depicted in the image without an associated name in the plurality of names. The system has a feature extractor which extracts features from the image, and a processor which predicts an identity of the person depicted in the image using the extracted features and the probabilistic model.

Image processing for person recognition

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London, United Kingdom

Daniel Coelho De Castro