Data encoded in multiple languages, such as single byte languages and multi-byte languages, may be generated and stored in a single indexable information/data profile in a database. The information/data profile may comprise indexable information/data fields configured for storing information/data in a standardized language encoding and non-indexable information/data fields configured for storing information/data in a language different from the standardized language. The standardized language may be generated by translating the information/data stored in the non-indexable information/data fields to enable indexing of the entire information/data profile. The information/data profile may be utilized to generate various information/data outputs, such as shipping labels including at least one of the standardized language or the other language while enabling the information/data profile to be indexed based at least in part on the standardized language.

In one aspect, visual preference of a user is determined by selecting a display set of item images from at least one item database and causing the item images of the display set to be displayed at a user interface. Engagement events at the user interface between the user and engaged-with item images are detected and used to determine a visual preference hypothesis for the user based on visual features extracted from the engaged-with item images. New item images are selected from the database(s) by comparing their visual features with the visual preference hypothesis. This is an iterative process, in which the visual preference hypothesis is refined and the display set continues to be updated accordingly. In another aspect, an improved user interface facilitates efficient item selection based on active and/or passive engagement events (of various possible types) with an item array, providing a rich source of visual preference information.

An image retrieval system receives an image for which to identify relevant images from an image repository. Relevant images may be of the same environment or object and features and other characteristics. Images in the repository are represented in an image retrieval graph by a set of image nodes connected by edges to other related image nodes with edge weights representing the similarity of the nodes to each other. Based on the received image, the image traversal system identifies an image in the image retrieval graph and alternatively explores and traverses (also termed “exploits”) the image nodes with the edge weights. In the exploration step, image nodes in an exploration set are evaluated to identify connected nodes that are added to a traversal set of image nodes. In the traversal step, the relevant nodes in the traversal set are added to the exploration set and a query result set.

An image retrieval method and apparatus, a storage medium, and an electronic device. The image retrieval method comprises: receiving an input request for retrieving images; identifying whether a retrieve target carried by the request is a retrieve word or a retrieve sentence; in response to the retrieve target being the retrieve word, retrieving images with at least one of an image category matching the retrieve word and an image object matching the retrieve word; and in response to the retrieve target being the retrieve sentence, retrieving images with image semantics matching the retrieve sentence.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for contextually disambiguating queries are disclosed. In an aspect, a method includes receiving an image being presented on a display of a computing device and a transcription of an utterance spoken by a user of the computing device, identifying a particular sub-image that is included in the image, and based on performing image recognition on the particular sub-image, determining one or more first labels that indicate a context of the particular sub-image. The method also includes, based on performing text recognition on a portion of the image other than the particular sub-image, determining one or more second labels that indicate the context of the particular sub-image, based on the transcription, the first labels, and the second labels, generating a search query, and providing, for output, the search query.

Systems and methods are described for disambiguating user input based on a physical location of items in a vicinity of a user. The system determines that a query received from a user contains an ambiguity. In response, the system identifies several items in the physical vicinity of the user. Then, the system analyzes the identified plurality of items to determine whether the plurality of items forms a first ensemble of items or a second ensemble of items. If the plurality of items forms a first ensemble of items, the system performs a search using the search query and a first keyword related to the first ensemble of items. If the plurality of items forms a second ensemble of items, the system performs a search using the search query and a second keyword related to the second ensemble of items. The system then outputs results of the performed search.

Systems and methods are described for disambiguating user input based on a physical location of items in a vicinity of a user. The system determines that a query received from a user contains an ambiguity. In response, the system identifies several items in the physical vicinity of the user. Then, the system analyzes the identified plurality of items to determine whether the plurality of items forms a first ensemble of items or a second ensemble of items. If the plurality of items forms a first ensemble of items, the system performs a search using the search query and a first keyword related to the first ensemble of items. If the plurality of items forms a second ensemble of items, the system performs a search using the search query and a second keyword related to the second ensemble of items. The system then outputs results of the performed search.

An exemplary onsite photo management server located at an event provides a wireless network to couple the server with a network-enabled camera used by a photographer, as well as with a photo kiosk device and a photo printing device located at the event for use by event attendees during the event. The server automatically retrieves, in real time as the photographer photographs the event, photographic content captured by the network-enabled camera. The server also automatically stores the photographic content in accordance with a predefined organizational structure associated with the event. The server provides the photographic content to the photo kiosk device to allow the event attendees to browse, in accordance with the predefined organizational structure, photos captured at the event by the photographer. The server also, on request from an event attendee, provides the photographic content to the photo printing device for printing. Corresponding methods and systems are also described.

Various approaches discussed herein enable browsing groups of visually similar items to an item of interest, wherein the item of interest may be identified in a query image, for example. One or more visual attributes associated with the item of interest are identified, and the visually similar items matching at least one of the visual attributes are grouped together, wherein the group is ranked according to the visually similar items' overall visual similarity to the item of interest, for example by using a visual similarity score and/or metric.

A method includes obtaining first data representing a subterranean domain, and creating a geotag associated with a three-dimensional location of interest in the subterranean domain and a feature at the location of interest. The geotag is further associated with second data that describes the location of interest in the subterranean domain. The method also includes generating metadata describing a portion of the first data, the second data, or both, storing the geotag in a database including a plurality of geotags. The method may also include searching for an analog to the geotag.