Abstract: A control apparatus and method for noise cancellation in a physical area. The control apparatus receives a trigger input which includes information about a first physical area and further controls an image capturing device to capture at least one first image of the first physical area based on the received trigger input. The control apparatus further determines a number of occupants of a first set of occupants present in the first physical area and scene information corresponding to the first physical area based on the captured at least one first image. The control apparatus further controls a movement of a first plurality of unmanned aerial vehicles (UAVs) in a physical three-dimensional (3D) space to create a virtual noise cancellation boundary around the first physical area based on the determined number of occupants of the first set of occupants and the scene information.

Abstract: Various aspects of a system and a method to provide recommendation on an electronic device based on emotional state detection of a user, are disclosed herein. In accordance with an embodiment, the system includes the electronic device, which is configured to detect a transition in an emotional state of a user associated with the electronic device from a first emotional state to a second emotional state. A tagged content item associated with the second emotional state of the user is retrieved from a network device based on identity information of the user and the detected transition. An application is launched on the electronic device to recommend a product or a service related to the retrieved tagged content item. The application is launched in response to the detected transition in the emotional state of the user and a current location of the electronic device.

Abstract: A control apparatus and method for noise cancellation in a physical area. The control apparatus receives a trigger input which includes information about a first physical area and further controls an image capturing device to capture at least one first image of the first physical area based on the received trigger input. The control apparatus further determines a number of occupants of a first set of occupants present in the first physical area and scene information corresponding to the first physical area based on the captured at least one first image. The control apparatus further controls a movement of a first plurality of unmanned aerial vehicles (UAVs) in a physical three-dimensional (3D) space to create a virtual noise cancellation boundary around the first physical area based on the determined number of occupants of the first set of occupants and the scene information.

Abstract: Various aspects of a system and a method for processing of a video content based on emotional state detection of one or more users are disclosed herein. The system includes a video-processing device, which detects a change in an emotional state of a first user viewing a first video content on the video-processing device. One or more groups of image frames of the first video content, viewed during the detected change in the emotional state of the first user at one or more time instances, are associated with the changed emotional state. A second video content is generated by use of the associated one or more groups of image frames of the first video content, based on the detected change in the emotional state of the first user.

Abstract: Various aspects of a system and method to control capture of images are disclosed herein. In accordance with an embodiment, the method includes capture of a first image of a user-selected scene by an electronic device. The user-selected scene comprises one or more objects. A scene mode from a pre-stored set of scene modes is determined by the electronic device to capture a plurality of images of the user-selected scene. The determination of the scene mode is based on an object type of the one or more objects and a geo-location of the electronic device. The scene mode is determined when the first image is captured or when image data corresponding to the user-selected scene is received.

Abstract: Various aspects of a system and a method to provide recommendation on an electronic device based on emotional state detection of a user, are disclosed herein. In accordance with an embodiment, the system includes the electronic device, which is configured to detect a transition in an emotional state of a user associated with the electronic device from a first emotional state to a second emotional state. A tagged content item associated with the second emotional state of the user is retrieved from a network device based on identity information of the user and the detected transition. An application is launched on the electronic device to recommend a product or a service related to the retrieved tagged content item. The application is launched in response to the detected transition in the emotional state of the user and a current location of the electronic device.

Abstract: Various aspects of a system and a method for processing of a video content based on emotional state detection of one or more users are disclosed herein. The system includes a video-processing device, which detects a change in an emotional state of a first user viewing a first video content on the video-processing device. One or more groups of image frames of the first video content, viewed during the detected change in the emotional state of the first user at one or more time instances, are associated with the changed emotional state. A second video content is generated by use of the associated one or more groups of image frames of the first video content, based on the detected change in the emotional state of the first user.

Abstract: Various aspects of a system and method to control capture of images are disclosed herein. In accordance with an embodiment, the method includes capture of a first image of a user-selected scene by an electronic device. The user-selected scene comprises one or more objects. A scene mode from a pre-stored set of scene modes is determined by the electronic device to capture a plurality of images of the user-selected scene. The determination of the scene mode is based on an object type of the one or more objects and a geo-location of the electronic device. The scene mode is determined when the first image is captured or when image data corresponding to the user-selected scene is received.