A system for selecting an image to accompany text from a user in connection with a social media post. The system includes receiving text from the user; identifying one or more search terms based on the text; identifying candidate images from images in one or more image databases using the search terms, where the candidate images comprise a sponsored image; presenting one or more candidate images to the user, where the sponsored image is presented preferentially compared to other candidate images; receiving from the user a selected image from the one or more candidate images; generating the social media post comprising the selected image and the user-submitted text; and transmitting the social media post for display.

Systems and methods are disclosed for suggesting expressive graphical content to a user to share within a messaging system. Expressive graphical content can include images, video, animated images, any of which may include sound, that a message system user is likely to share because it is related to a conversation between one or more users of the message system. Expressive graphical content may be content that is recent, humorous, and/or popular or trending in popularity, and can be shared without a copyright. A transcript of a message session between two or more users of a message system can be used to generate keywords for identifying and prioritizing expressive graphical content. The keywords can be prioritized and used as search terms to proactively suggest to the user to search for expressive graphical content. A search can be initiated automatically upon selecting one or more of the keywords.

Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading.

A system and method for providing a third generation social network. The system provides processes that allow e physical objects to be represented as social objects in the social network. A user may then interact with the social objects. These interactions allow the system to collect the content of the interactions of a particular user. Die content of the interactions may then be analyzed and used to direct specific content to specific users that may have an interest in the specific content as indicated by the content of the interactions of those users. Furthermore, the system provides a method for associating data with a shape in an image to allow a user and/or groups of users to interact with the image.

Embodiments of the disclosure are directed to methods and systems for creating a medical image database, wherein data which comprise partial images of two-dimensional or higher-dimensional initial images of parts of the human body are created, a projection for obtaining feature vectors is created from the partial images, wherein, in order to prepare the execution of the projection, a neural network based on specified learning partial images is created, wherein the data records are used within the scope of a metric learning method to learn the projection and creation of the feature vectors from learning partial images. This is achieved for example by specifying learning partial images that are slightly shifted, rotated, skewed or stretched relative to one another and were created starting from the same initial image as similar.

Techniques for providing photography assistance include: determining a location of a mobile device; determining one or more object of interest (OOI) based on the location of the mobile device; obtaining a set of photographs associated with the one or more OOI; presenting the set of photographs associated with the OOI on a display of the mobile device; and in response to a selection of at least one photograph from the list of photographs, providing directional guidance via one or more user interface of the mobile device, wherein the directional guidance includes directions to reach a particular location associated with the selected at least one photograph.

A user interface facility is described. The facility receives an indication that a trip is to be planned for one or more travelers including a first user. In response to receiving this indication, the facility causes to be displayed to the first user a multiplicity of pictorial representations, each of the displayed pictorial representations conveying one or more travel interests. For each of multiplemultiple pictorial representations among the displayed pictorial representations, the y: receives user input selecting the displayed pictorial representation; and, in response to receiving the user input, causes redisplay of the displayed pictorial representation in a manner that visually reflects that it has been selected.

There are provided information processing apparatus and method, and a program which can more accurately estimate user's preference.

An information processing apparatus comprises an image information acquisition unit that acquires an image associated with a user and accessory information including information on at least an imaging date of the image; a news information acquisition unit that acquires news information indicating contents of news distributed by a news site; an image analysis unit that analyzes image contents from the image; and an estimation unit that estimates a preference of the user on the basis of the image contents grasped by processing of the image analysis unit and the news information at a time corresponding to the imaging date.

The present disclosure provides an interactive method and an interactive apparatus based on deep question and answer. The interactive method includes: receiving a query; extracting a logic tag of the query, extracting a keyword of the query, and acquiring a search result corresponding to the logic tag and the keyword based on a logical structure data table; and displaying the search result.