Microsoft Technology Licensing, LLC

Microsoft Corporation

Frank Siegemund

Alain Gefflaut

Wolfgang Manousek

Robert Sugar

Matthias Neugebauer

A virtual execution system that is configured to be used in a resource-constrained device. The resource-constrained device includes an operating system and an application program that includes instructions. The virtual execution system includes an execution engine that is configured to execute the application program, and to facilitate the compatibility of the application program with the operating system. Non-functional aspects characterize the instructions and the operating system. The execution engine has access to the non-functional aspects, and implements improvements during the execution of the application program based on the non-functional aspects.

Virtual execution system for resource-constrained devices

The disclosure describes a method for programming applications for embedded systems such as sensor nodes. In an embodiment, this comprises writing embedded system applications in a high-level language such as C# or Java using a software development framework which includes a set of tools and class libraries. The class libraries contain pre-written code to carry out tasks which may be required of an embedded system. The class libraries may be extended following identification of a need for a particular function in an embedded system. Developed applications may be subsequently stored on the embedded system but executed on a gateway computing device which interacts with the embedded system. This means that the application(s) can be executed without requiring the presence of a virtual execution system located on the embedded system while allowing a high-level programming model for application programmers.

Framework for programming embedded system applications

A mobile communications device with an integrated camera is directed towards text. A video stream is analyzed in real time to detect one or more words in a specified region of the video frames and to indicate the detected words on a display. Users can select a word in a video stream and subsequently move or extend the initial selection. It is thus possible to select multiple words. A subregion of the video frame comprising the detected word(s) is pre-processed and compressed before being sent to a remote optical character recognition (OCR) function which may be integrated in an online service such as an online search service.

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Aachen, Germany

Frank Siegemund