810 research outputs found
Improving Advertisement Delivery in Video Streaming
Generally, the present disclosure is directed to improving advertisement delivery based on the content of a video. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a non-intrusive location for an advertisement based on the content of a video
Contextual Advertising Based on Content Recognition in a Video
Generally, the present disclosure is directed to providing relevant advertisements based on the visual content of a video. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to determine a relevant advertisement and/or a relevant time for the relevant advertisement based on image data taken from a video
Machine Learning to Automatically Lock Device Screen at Opportune Time
Generally, the present disclosure is directed to determining when to lock a screen of an electronic device such as, for example, a smartphone. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an appropriate lock screen behavior based on device usage data
Configuring an Application Based on Settings in Similar Applications
Generally, the present disclosure is directed to configuring settings in an application, such as an application on a device. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a value for a setting in an application based on values of one or more settings in one or more similar applications
Using Music to Affect Mood Based on Sentiment Analysis
Generally, the present disclosure is directed to influencing the mood of a person listening to music while operating a system or device. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to select music to play to influence a user’s mood based on user input into a system or device
Intelligent assistant for music practice
Generally, the present disclosure is directed to techniques to automatically provide feedback and suggestions to musicians. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to provide real-time feedback to musicians based on audio and/or video of the musician playing music. The techniques of this disclosure use various input features, e.g., the musician’s practice piece; references from a database of musical scores, data from different sensors, e.g., microphones, cameras, etc. to analyze the musician’s playing and provide real-time feedback or suggestions for corrections to be made, e.g., changing the tempo, playing a sharp or flat note (acting as an intelligent tuner), suggestions of practice pieces, etc
Detecting Interesting Events in a Home Security Camera System
Generally, the present disclosure is directed to a system for predicting whether the subject of a camera needs to be recorded and/or transmitted. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict whether the view of the camera contains a noteworthy change in semantic meaning based on labels describing the semantic meaning of the view
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