Microsoft Technology Licensing, LLC

Ayman Kaheel

Motaz Ahmad El-Saban

James Kai Yu Lau

Mohamed Shawky

Monica Gonzalez

Mahmoud Refaat

Ahmed El Baz

Tamer Deif

Alaa Abdel-Hakim Aly

Motaz Ahmed El-Saban

Mostafa El Baradei

Ahmed El Arabawy

Ahmend Mohamed Abdul Hamid

Exemplary methods, apparatus, and systems are disclosed for authenticating a user to computing device. In one exemplary embodiment, an indication of a request by a user to unlock a mobile device in a locked state is received. One or more images of the face of the user are captured. Facial components of the user from the one or more captured images are extracted. A determination is made as to whether the user is an authorized user or a non-authorized user based at least in part on a comparison of the facial components of the user extracted from the one or more captured images to facial components of the authorized user from one or more authentication images of the authorized stored on the mobile device. If the user is determined to be the authorized user, the mobile device unlocked; otherwise, the mobile device is maintained in its locked state.

Using facial data for device authentication or subject identification

Apparatus and methods are disclosed for modifying video based on user input and or face detection data received with a mobile device to generate foreground regions (e.g., to separate a user image from background in the video). According to one disclosed embodiment, a method comprises receiving user input and/or face regions generated with a mobile device, producing an initial representation for segmenting input video into a plurality of portions based on the user input, where the initial representation includes probabilities for one or more regions of the input video being designated as foreground regions or background regions. Based on the initial representation, input video is segmented by designating one or more of the regions of the input video as foreground regions or background regions.

Modifying video regions using mobile device input

A computing device, such as a mobile device, can capture pictures or video images using a digital camera and obtain associated orientation information using an accelerometer. The orientation information can be used to adjust one or more of the captured pictures or video images to compensate for rotation in one or more planes of rotation. The orientation information can be saved along with the captured pictures or video images. The orientation information can also be transmitted or streamed along with the captured pictures or video images. Image matching operations can be performed using pictures or video images that have been adjusted using orientation information.

Using accelerometer information for determining orientation of pictures and video images

Composite video generation is described. In an embodiment, mobile video capture devices, such as mobile telephones, capture video streams of a common event. A network node receives the video streams and time-synchronizes them. Frames from each of the video streams are then stitched together to form a composite frame, and these are added to a composite video sequence. In embodiments, the composite video sequence is encoded and streamed to a user terminal over a communications network. In embodiments, the common event is a live event and the composite video sequence is generated in real-time. In some embodiments, the stitching of the video streams is performed by geometrically aligning the frames. In some embodiments, three or more mobile video capture devices provide video streams.

Composite video generation

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Bellevue, WA, United States of America

Ayman Kaheel