Microsoft Technology Licensing, LLC

Ali Reza Emami

Umesh Madan

Ryan S Menezes

Gabriel Takacs

Mehul Y Shah

Hongli Deng

Bryan Dove

Gavin Dean Lazarow

Robert May

Kishore Chaliparambil

Eric Gunnerson

Skyler Mark Goodell

Chi Kit Chan

Imran Mohiuddin

Robert L Chambers

Thomas M Soemo

Aleksandar Uzelac

Adina Magdalena Trufinescu

Vishwac Sena Kannan

Khuram Shahid

Daniel J Hwang

Shuaib Rasool

Schuaib Rasool

The description relates to cameras, such as security cameras, and providing guidance for positioning cameras to achieve desired goals. One example can receive an image of a scene overlaid with transparent indicators that reflect accuracy of object detection in individual regions of the image. The example can correlate input received from the user on the display relative to the regions. The example can analyze subsequent images of the scene with rules derived from the input from the user.

Camera placement guidance

One example provides a computing device configured to capture, via the camera, first image data imaging a first physical world location, create a first spatial representation of the first physical world location based on the first image data, receive a user input defining a pose of a first virtual spatial anchor point relative to a feature imaged in the first image data, track user movement to a second physical world location, capture second image data imaging the second physical world location, receive a user input defining a pose of a second virtual spatial anchor point relative to a feature imaged in the second image data, and send, to a remote computing device, data representing the first spatial representation, the pose of first spatial anchor point, the second spatial representation, the pose of second spatial anchor point, and a positional relationship between first and second spatial anchor points.

Connecting spatial anchors for augmented reality

Techniques are described for headlessly completing a task of an application in the background of a digital personal assistant. For example, a method can include receiving a voice input via a microphone. Natural language processing can be performed using the voice input to determine a user voice command. The user voice command can include a request to perform a task of the application. The application can be caused to execute the task as a background process without a user interface of the application appearing. A user interface of the digital personal assistant can provide a response to the user, based on a received state associated with the task, so that the response comes from within a context of the user interface of the digital personal assistant without surfacing the user interface of the application.

Headless task completion within digital personal assistants

The described implementations relate to updating views in a database system. One implementation can identify an active view that retrieves records from a database and determine one or more physical tables in the database that are referenced by the active view. The implementation can track one or more columns in the physical tables that are used by the active view and identify a change to the physical tables in a transaction log of the database. If the change does not affect the one or more columns, the change can be treated as an ignorable change for the active view.

Data change tracking and event notification

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Seattle, WA, United States of America

Ali Reza Emami