Techniques described herein provide intelligent context-based testing. One or more implementations receive an image that includes content. In turn, some implementations process the image to extract test information from the content, such as questions, answers, learning material, and so forth. By analyzing the test information, various implementations determine one or more characteristics associated with the test information, and dynamically generate new test information based on the determined one or more characteristics. As one example, some implementations obtain new content by searching for content that includes the one or more characteristics and generate new test information based on the new content and the extracted test information.

Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote users. An annotation template is provided to each of the plurality of remote users. Annotations for the one or more image are received from each of the plurality of remote users. The annotations and the plurality of medical images are stored together.

An electronic device is disclosed comprising a camera, a display, a wireless communication circuit, at least one processor operatively connected to the display, the camera and the wireless communication circuit, and a memory operatively connected to the at least one processor and storing instructions that, when executed, cause the at least one processor to: obtain a first image through the camera; extract a marker included in the first image; obtain a universal resource locator (URL) using the extracted marker; receive content of a web page associated with the URL through the wireless communication circuit, display the first image and at least a portion of the received content at a position on the first image determined based on a location of the marker on the display.

A method and container for providing an enclosure for a food item includes a plurality of grading marks and a docking station to dock an electronic device. Yet further, the system includes a processor configured to take one or more pictures of the food item using the electronic device, transmit the one or more pictures to a cloud, receive recommended recipes for the food item and display the recommended recipes.

Disclosed are a multimedia poster generation method and a terminal. The method includes: receiving a poster generation instruction; acquiring a poster resource, the poster resource including a plurality of background files and a lyric file of a multimedia file, and the multimedia file being a multimedia file selected by a user; acquiring a background file to be shared that is selected by the user from the plurality of background files, and acquiring lyric information to be shared that is selected by the user from the lyric file; and generating a multimedia poster of the multimedia file according to the lyric information to be shared and the background file to be shared.

A search apparatus for searching media data for a target region that matches query data includes a first feature extraction unit configured to extract a first feature vector from the query data using a first trained neural network; a second feature extraction unit configured to obtain a first region from the media data and extract a second feature vector from the first region using a second trained neural network; a localization unit configured to determine a candidate for the target region using a third trained neural network, based on the first feature vector, the second feature vector, and the first region or a location of the first region; and a control unit configured to repeat the operations of the second feature extraction unit and the localization unit until a predetermined condition is satisfied, by using the determined candidate for the target region as the first region to be used by the second feature extraction unit.

Accessing item information for items selected from an image including: presenting an image including a plurality of selectable items for selection by a viewer; determining a position of an item selected from the plurality of selectable items by the viewer; sending the determined position of an item along with timing information of the image to a server; receiving information related to the item selected by the viewer from the server, wherein the information related to the item was retrieved by the server from a database using the determined position of an item and the timing information of the image; and presenting the information related to the item.

Provided are a method and an apparatus for searching for and acquiring information under a computing environment. The apparatus includes: at least one input device configured to receive a first query input of a first query type and a second query input of a second query type; and a controller configured to output a query input window including a first display item corresponding to the first query input and a second display item corresponding to the second query input, to automatically switch, in response to receiving the first query input, the apparatus from a first state to receive the first query input of the first query type to a second state to receive the second query input of the second query type, and to obtain a search result according to a query based on the first query input and the second query input.

A system to provide image processing services responsive to requests including image data includes a system layer that forwards a request to an image application processing interface. Image processing provides an image comparison, barcode recognition, and optical character recognition. The image processing compares the image data to products in a database in order to identify a matching product. The system layer receives the matching information and forwards to a user.

Example methods, apparatus, systems and articles of manufacture are disclosed to determine tags for unknown media using multiple media features. Disclosed examples extract features from portions of the unknown media. Disclosed examples weight the features based at least partially on respective recognition technologies used to extract the features to determine corresponding weighted features. Disclosed examples search a database of pre-tagged media with a combination of the weighted features to generate a list of suggested tags for the unknown media, the list of suggested tags including relevancy scores for respective ones of the tags in the list. Disclosed examples assign a tag from the list of suggested tags to the unknown media based on a comparison of the relevancy score for the tag to a threshold.