Vizio, Inc.

Kiran Sanjeevan Cabeza

Systems and methods are provided for detecting a content type of content within a media stream. A computing device may receive a media stream and define a set of media segments that each represent a portion of the media stream. The computing device may identify a first media segment that includes a first boundary and a second media segment that includes a second boundary. The computing device may predict whether the subset of media segments that are positioned between the first media segment and the second media segment include content of a particular content type. The computing device may then transmit an indication of the prediction.

Methods and systems for detecting content within media streams

Systems and methods for providing a virtual keyboard are shown and described. User gestures are captured by a camera and are mapped to spatial coordinates that correspond to the keys of a virtual keyboard. The user defines the coordinate system based on his or her range of motion and also defines the spatial dimensions of the virtual keyboard. The spatial dimensions are then scaled to provide a display image of the virtual keyboard on a TV display. Facial recognition techniques and corresponding data regarding the viewer's anatomy and previously captured reference gestures are used to interpret the viewer's gestures and determine which keystrokes are intended. A character prediction technique using the trajectory of the cursor (i.e., trajectory of entered keystrokes) is combined with language/semantic-based character prediction models to identify a next predicted character that is indicated as the user's selected character, thereby disambiguating the key selection indicated the positioning of his or her fingers relative to the virtual keyboard keys.

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San Francisco, CA, United States of America

Kiran Sanjeevan Cabeza