Abstract: Provided are a system, an electronic device, and a method for adjusting camera configurations including rendering an image of a scene to be obtained by a camera of the electronic device, identifying relevant bounding boxes associated with the image, each relevant bounding box comprising a corresponding object. The corresponding object of each relevant bounding box includes a co-occurrence value. The method includes generating a set of reference parameters associated with the corresponding objects of the relevant bounding boxes by identifying a reference parameter for the corresponding object of each relevant bounding box of the relevant bounding boxes, identifying one or more reference images and retrieving corresponding reference configurations associated with the identified one or more reference images based on the set of reference parameters; and configuring the camera of the user device based on the reference configurations of at least one of one or more reference images.

Abstract: A method for generating a context in a virtual assistance (VA) system may include receiving raw data at each time step from a plurality of electronic devices connected with the VA system, extracting using a neural network (NN) model, a plurality of features corresponding to the plurality of electronic devices to generate a unified feature vector of the extracted plurality of features at the each time step, determining, using the NN model, an intermediate aligned feature at the each time step, determining, based on the unified feature vector and the intermediate aligned feature, a context and a priority of the context at the each time step, using the NN model, and storing the context and the priority of the context in a context database.

Abstract: Provided are a system, an electronic device, and a method for adjusting camera configurations including rendering an image of a scene to be obtained by a camera of the electronic device, identifying relevant bounding boxes associated with the image, each relevant bounding box comprising a corresponding object. The corresponding object of each relevant bounding box includes a co-occurrence value. The method includes generating a set of reference parameters associated with the corresponding objects of the relevant bounding boxes by identifying a reference parameter for the corresponding object of each relevant bounding box of the relevant bounding boxes, identifying one or more reference images and retrieving corresponding reference configurations associated with the identified one or more reference images based on the set of reference parameters; and configuring the camera of the user device based on the reference configurations of at least one of one or more reference images.