Rovi Guides, Inc.

Sriram Ponnuswamy

Gyanveer Singh

Susanto Sen

Shakir Sharfraz Ashfaq Ahamed

Charishma Chundi

Systems and methods for warning a user that media assets associated with another user depict the user with an undesired expression are provided. A plurality of media assets associated with a first user and depicting a second user may be identified. A set of expressions of the second user that the second user has indicated as undesirable may be retrieved. The depictions of the second user in the plurality of media assets and the expressions that the second user has indicated are undesirable may be compared. If it is determined that one or more of the media assets depict the second user with an undesirable expression, a notification may be generated to the second user indicating that one or more media assets of the first user depict the second user with an expression that the second user has indicated as undesirable.

Systems and methods for alerting a user to published undesirable images depicting the user

The methods and systems described herein aid users by modifying the presentation of content to users. For example, the methods and systems suppress the dialogue track of a movie when the user engages with the content by reciting a line of the movie as it is presented to the user. Words spoken by the user are detected and compared with the words in the movie. When the user is not engaging with the movie by reciting the lines or humming tunes while watching the movie, the audio track of the movie is not modified. Content can be modified in response to engagement by a single user or by multiple users (e.g., each reciting lines of a different character in a movie). Accordingly, the methods and systems described herein provide increased interest in and engagement with content.

Methods and systems for suppressing vocal tracks

Methods and systems are provided for automatically selecting a target area to project content thereon. For example, a projection device receives content to be projected and content attributes of the content. The projection device also captures images of candidate areas and determines candidate area characteristics based on the captured images. The projection device generates a respective quality-of-projection indicator based on the content attributes and the candidate area characteristics. The projection device selects the candidate area with the highest quality-of-projection indicator as the target area on which the content is to be projected.

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Tamil Nadu, India

Sriram Ponnuswamy