Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.

Provided is a display device including a display unit, a storage unit configured to store information on a web page, a microphone configured to receive a user's voice command, a network interface unit configured to perform communication with a natural language processing (NLP) server, and a controller configured to transmit text data of the voice command to the NLP server, to receive intention analysis result information corresponding to the voice command from the NLP server, to select, as a final candidate address, one of a plurality of candidate addresses related to a search word included in the received intention analysis result information if the search word is not stored in the storage unit, and to access a website corresponding to the selected final candidate address.

Systems and methods are described for selecting content item identifiers for display. The system may identify a set of content items that are likely to be requested in the future based on a history of content item requests. The system then selects a first plurality of content categories using a category selection neural net and selects a first set of recommended content items for the first plurality of content categories. The system increases a reward score for the first plurality of content categories based on receiving a request for a content item that is included in the first set of recommended content items. The system also decreases the reward score for the first plurality of content categories based on determining that the requested content item is included in the set of content items that are likely to be requested in the future. The neural net is trained based on the reward score of the first plurality of content categories to reinforce reward score maximization. The trained neural net is the used to select content items for display.

This disclosure can provide a display device and a display method. The display device includes at least one camera configured to capture an environmental scenario image; a display configured to display a user interface; a controller in communicated with the display, configured to receive a command, input by a user, for obtaining a content recommendation resource associated with content currently displayed in the user interface; determine whether an application corresponding to the content currently displayed in the user interface is an application invoking the at least one camera, and if yes, display a first user interface, where the first user interface displays a first image captured by the at least one camera.

This disclosure can provide a display device and a display method. The display device includes at least one camera configured to capture an environmental scenario image; a display configured to display a user interface; a controller in communicated with the display, configured to receive a command, input by a user, for obtaining a content recommendation resource associated with content currently displayed in the user interface; determine whether an application corresponding to the content currently displayed in the user interface is an application invoking the at least one camera, and if yes, display a first user interface, where the first user interface displays a first image captured by the at least one camera.

A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

A smart mirror can show live or recorded streaming video of an instructor performing a workout in a package that is attractive and unobtrusive enough to hang in a living room. The smart mirror includes a mirror surface with a fully reflecting section and a partially reflecting section. A display behind the partially reflecting section shows the video when the smart mirror is on and is almost invisible when the smart mirror is off. The smart mirror also has a speaker, a microphone, and a camera to enable a user to view the video content and interact with the instructor. The smart mirror may connect to the user's smart phone, a peripheral device (e.g., a Bluetooth speaker) to augment user experience, a biometric sensor to provide biometric data to assess user performance, and/or a network router to connect the smart mirror to a content provider, an instructor, and/or other users.

The present disclosure relates to a display system (1) for generating a composite view of a region behind a vehicle (V) towing a trailer (T). A first camera (C1) is provided for outputting first image data corresponding to a first image (IMG1), the first camera (C1) being configured to be mounted in a rear-facing orientation to the vehicle (V). A second camera (C2) is provided for outputting second image data corresponding to a second image (IMG2), the second camera (C2) being configured to be mounted in a rear-facing orientation to the trailer (T). An image processor (5) receives the first image data and said second image data. The image processor (5) is configured to combine said first image data and said second image data to generate composite image data corresponding to a composite image (IMG3). The present disclosure also relates to a corresponding method of generating a composite image (IMG3), and to a rig made up of a vehicle (V) and a trailer (T).

Systems and methods are described for adapting a second user input device to resemble a first user input device while preserving new functionalities not available in the first user input device. The systems and methods may identify, based on identifiers of the first and second user input devices, a first and second set of device functionalities provided by the devices. The systems and methods may compare the sets of device functionalities to determine a set of common device functionalities and, in response, modify the display of an input of the second user input device to correspond to visual attributes of an input of the first user input device.

Techniques to customize a media processing system are described. A media processing system is described capable of integrating a large set of heterogeneous electronic devices into a single integrated system with enhanced navigation capabilities and automated configuration services. Other embodiments are described and claimed.