Microsoft Technology Licensing, LLC

Gavin M Gear

Michael H LaManna

Jason Bradley Scott

Ross Nathaniel Luengen

Kevin Phillip Paulson

Milos Petrbok

Nikhil Subramanian

Subha Bhattacharyay

Timothy H Kannapel

Jamie N Wakeam

Jerome J Turner

Todd M Landstad

Sebastian Poulose

Richard Jennings Duncan

Zoltan C Szilagyi

Haiyong Wang

Michael C Miller

Steven P Dodge

Zheng Wang

Sashi Raghupathy

Sam J George

Herry Sutanto

Xu Chen

Weerapan Wilairat

Jennifer A Teed

David B Perry

Benoit Jules Jurion

Richard L Spencer, Ii

Roman Snytsar

Terri L Chudzik

Erin Devoy

Richard L Spencer

Lidia Schwarz

Amber P Race

Roman Snystar

Methods and a computing device are disclosed. A computing device may aggregate a number of inputs indicative of a presence or an absence of a human being within a proximity of the computing device. A source of at least one of the inputs may be a human presence sensor. A source of other inputs may provide an indication of the presence of a human being with corresponding estimated probabilities or corresponding estimated reliabilities which may provide an estimate of an accuracy of respective indications. In some embodiments, if any of the number of inputs indicate the presence of a human being, the computing device may determine that a human being is present. In other embodiments, if a corresponding estimated probability or reliability of an input is less than a predetermined value, then the input may be discarded when determining whether a human being is present.

Human presence detection

User interface elements positioned for display is described. In various embodiment(s), sensor input can be received from one or more sensors that are integrated with a portable device. A device hold position that corresponds to where the portable device is grasped by a user can be determined based at least in part on the sensor input. A display of user interface element(s) can then be initiated for display on an integrated display of the portable device based on the device hold position that corresponds to where the portable device is grasped.

User interface elements positioned for display

Embodiments of enhanced user interface elements in ambient light are described. Sensor inputs can be received from light sensors that detect ambient light proximate an integrated display of a portable device. A determination is made that the ambient light detracts from the visibility of user interface elements displayed in a user interface on the integrated display. Display properties of graphic components of a user interface element are interpolated through a light range from approximately complete darkness to full sunlight, and the graphic components of a user interface element can be modified based on interpolating the display properties within the light range to enhance the visibility of the user interface element for display in the ambient light.

Enhanced user interface elements in ambient light

Enhanced user interface elements in ambient light is described. In embodiment(s), a sensor input can be received from light sensor(s) that detect ambient light proximate an integrated display of a portable device. A determination can be made that the ambient light detracts from the visibility of user interface elements displayed in a user interface on the integrated display, and graphic components of a user interface element can be modified to enhance the visibility of the user interface element for display in the ambient light.

A system may allow an initial viewing adjustment curve set at a factory to be adjusted by a user, and the adjustment may pull the viewing adjustment curve in a particular direction, but may not result in a multistep, jerky viewing adjustment curve. The curve of the viewing adjustment curve may remain a curve, but, through the use of regions and smoothing, the viewing adjustment curve may retain its curve design.

Automatic user viewing preference

Techniques are described for performing automatic generation of one or more tags associated with an image file. One or more ink annotations for a displayed image are received. Handwriting recognition processing of the one or more ink annotations is performed. A string is generated and the string includes one or more recognized words used to form the one or more tags associated with the image file. The handwriting recognition processing and generating the string are performed in response to receiving the ink annotations.

Interactive image tagging

Data associated with pixels obscured by annotations in an annotated image is stored using an annotation mask enabling annotation-aware applications to reconstruct the original image, while annotation-unaware applications can display the annotated image with optimized increase in extra data to be stored. The annotation mask, same size as the image, is initialized to a monochrome default and the color depth information for obscured pixels saved within the annotation mask. Because a majority area of the annotation mask is monochrome, it compresses well and the obscured image content can be saved in a side channel, metadata header, or a separate file. During reconstruction, changes to annotated image such as rotation, size change, and the like, may be detected and accounted for when obscured image content is carried over to the annotated image for reconstruction.

Sharing editable ink annotated images with annotation-unaware applications

A system and process for enabling updates of an ink analysis document model are described.

On demand data proxy

A system and method for assisting with analysis and recognition of ink is described. Analysis hints may be associated with a field. The field may receive electronic ink. Based on the identity of the field and the analysis hint associated with it, at least one of analysis and recognition of ink may be assisted.

Analysis hints

Icon for a display screen

An application programming interface instantiates an ink analyzer object that receives document data for a document containing electronic ink content from a software application hosting the document and running on a first processing thread. The ink analyzer object then employs the first thread to make a copy of the document data, provides the copy of the document data to an electronic ink analysis process, and returns control of the first processing thread to the analysis process. After the analysis process has analyzed the electronic ink, the ink analyzer object reconciles the results of the analysis process with current document data for the document.

Electronic ink processing and application programming interfaces

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Seattle, WA, United States of America

Gavin M Gear