A computerized method and system for teaching foreign language. Users can define flashcards for study words and words in study sentences and select associated images to be shown with the flashcards during review. An improved method and system for identifying and searching for images to show is provided. Improved methods for presenting flashcards for words with multiple definitions and improved database architecture for storing flashcard data for plural users is also provided.

An information processing apparatus that includes a control unit that controls registration of an item targeted for a location search is provided and the control unit issues an image capturing command to an input device and causes registration information that includes at least image information on the item captured by the input device and label information related to the item to be dynamically generated. Furthermore, an information processing apparatus that includes a control unit that controls a location search for an item based on registration information is provided and the control unit searches for label information on the item included in the registration information by using a search key extracted from a semantic analysis result of collected speeches of a user and, when a relevant item is present, the control unit causes response information related to the location of the item to be output based on the registration information.

Disclosed is a method and apparatus for capturing, collecting, and distributing event information displayed on signs. The method may include capturing, by a mobile device, an image of a sign that displays information for an event. The method may also include extracting information for the event from the captured image of the sign, and determining a location of the mobile device when the image of the sign was captured. Furthermore, the method may include uploading, to a server, a time when the image was captured, the information for the event extracted from the captured image, a location of the event determined from extracted event information, a location of the sign, or a combination thereof.

Techniques described herein automatically associate an image with an audio track. At least some implementations identify an audio track of interest, and automate associating an image with the audio track. Some implementations gather context information during playback of an audio track, and use the context information to automatically identify an image to associate with the audio track. Upon associating the image with the audio track, various implementations render the image during subsequent playback of the audio track.

Example embodiments include a method and an electronic device for detecting and removing artifacts/degradations in media. Embodiments may detect artifacts and/or degradations in the media based on tag information indicating at least one artifact included in the media. The detection may be triggered automatically or manually. Embodiments may generate artifact/quality tag information associated with the media to indicate artifacts and/or degradations present in the media, and may store the artifact/quality tag information as metadata and/or in a database. Embodiments may identify, based on the artifact/quality tag information associated with the media, at least one artificial intelligence (AI)-based media processing model to be applied to the media to enhance the media. The at least one AI-based media processing model may be configured to enhance at least one artifact detected in the media. Embodiments may enhance the media by applying the at least one AI-based media enhancement model to the media.

An approach to place recognition from an image makes use of the detection of objects at a set of known places as well as at an unknown place. Images of the detected objects in an image of the unknown place are processed to yield respective numerical descriptors, and these descriptors are used to compare the unknown place to the known places to recognize the unknown place. At least some embodiments make use of a trained parameterized image processor to transform an image of an object to an object descriptor, and the training of the processor is meant to preserve distinctions between different instances of a type of object, as well as distinctions between entirely different types of objects.

The present disclosure relates to methods for creating, transmitting, and retrieving annotations within web documents in web browsers and annotation servers. This patent discusses the rationale for employing these methods with use case and sequence diagrams as well as verbal explanations. This rationale includes sophisticated crowd reputation management, discussion, and concept linking. Methods and rationale for a web browser to transmit annotation highlighted text selections, annotation comments, uniform resource locators (URLs), document object model (DOM) contexts, screenshots with marked annotation highlighted text, and annotation symbols to an annotation server are presented. In addition, methods for the annotation server to retrieve, compile, and transmit annotation objects with various elements to web browsers are also presented.

A system for large-scale crowd sourcing of map data cleanup and correction, comprising an application server that generates image data, sends image data to a user device, receives tagging data provided by the device user, and provides tags to a crowdsourced search and locate server based on tagging data from a user device, a crowdsourced search and locate server that receives tags from an application server, computes agreement and disagreement values and performs expectation-maximization analysis, and a map data server that stores and provides map data, and a method for estimating location and quality of a set of geolocation data.

A system and method for selecting a subset of images may include: obtaining a plurality of image files, each image file relating to a digital image of the plurality of digital images, each file including image data and metadata, the metadata including a first set of features, and a second set of features; clustering the plurality of images based on at least one of the first set of features to generate clusters of images; selecting a set of M largest clusters of images, wherein M is a positive integer; scoring the images of each of the selected clusters based on at least one of the second set of features; and selecting a set of N images with a highest score from the selected clusters, wherein N is a positive integer.

A system and method for selecting a subset of images may include: obtaining a plurality of image files, each image file relating to a digital image of the plurality of digital images, each file including image data and metadata, the metadata including a first set of features, and a second set of features; clustering the plurality of images based on at least one of the first set of features to generate clusters of images; selecting a set of M largest clusters of images, wherein M is a positive integer; scoring the images of each of the selected clusters based on at least one of the second set of features; and selecting a set of N images with a highest score from the selected clusters, wherein N is a positive integer.