Microsoft Technology Licensing, LLC

Stacia Scott

David Benjamin Lee

Chunkit Jacky Chan

Allison Light

Doug Ricard

Eric Norman Badger

Timothy David Sharpe

John S Holmes

John R Selbie

Alexandra K Heron

Raghuveer Simha

Duoc Nguyen

Leah Pearlman

Ahmed Azmy Hassan

Ram Aringunrum

Technologies for analyzing various features detected in a face detected in an image. Such features may include at least the eyes, eyebrows, node, and mouth of a face. Such analyzing may include scoring aspects of these features. Such scores may be weighted. The analysis may be used to determine expressions and/or poses of the face, as well as indicate if the face is smiling, frowning, or neutral. An overall quality score for the face may also be determined and provided based on the aforementioned analysis as well as whether or not the face is near an edge of the image or cut-off in the image. Finally, a face signature may be determined that uniquely identifies the face, at least within the scope of the analyzed features. Such face signatures may be used to detect a similar face in other images.

Creation of representative content based on facial analysis

Asynchronous voice messaging is employed to enable individuals to send voice clips back and forth over a network. In at least some embodiments, the voice clips reside in the form of discrete, manageable objects that can be easily managed by the user. In addition, some embodiments described provide hand-free/eyes-free functionality that can permit a user to create and send (or receive and play) a voice message without having to physically enter an intended recipient's address or otherwise digitally manipulate the device over which the message is sent or received.

Asynchronous discrete manageable instant voice messages

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Bellingham, WA, United States of America

Stacia Scott