The present invention provides a method and an apparatus for displaying an electronic photo. A key object included in an electronic photo is identified, associated information that matches the key object is integrated, and the associated information is constantly updated, so that information included in the electronic photo is dynamic and fresh, and an amount of the information included in the electronic photo is increased. The method includes: identifying a key object included in the electronic photo, obtaining, for at least one time, associated information that matches the identified key object, and presenting the associated information and the electronic photo when a preset presentation manner is triggered.

The present invention provides a method and an apparatus for displaying an electronic photo. A key object included in an electronic photo is identified, associated information that matches the key object is integrated, and the associated information is constantly updated, so that information included in the electronic photo is dynamic and fresh, and an amount of the information included in the electronic photo is increased. The method includes: identifying a key object included in the electronic photo, obtaining, for at least one time, associated information that matches the identified key object, and presenting the associated information and the electronic photo when a preset presentation manner is triggered.

Media unit retrieval methods, systems and computer program products are provided that allow a user to search for an item by iteratively presenting media units such as images representing items to the user and receiving user input consisting of selections of the presented media units (including possibly the empty selection). Features, or attributes, a user is interested in, for example semantic features, are inferred from the interaction and media units are retrieved for presentation based on similarity with user-selected media units, through sampling of a probability distribution describing the intent or interests, or combinations of approaches. Accordingly, the user-experience is akin to a conversation about what the user is looking for. Retrieval may be based on both selected and unselected media units and the selection may comprise making a selection with a single action. Further, a database of media units can capture similarity relationships for efficient media unit retrieval.

Media unit retrieval methods, systems and computer program products are provided that allow a user to search for an item by iteratively presenting media units such as images representing items to the user and receiving user input consisting of selections of the presented media units (including possibly the empty selection). Features, or attributes, a user is interested in, for example semantic features, are inferred from the interaction and media units are retrieved for presentation based on similarity with user-selected media units, through sampling of a probability distribution describing the intent or interests, or combinations of approaches. Accordingly, the user-experience is akin to a conversation about what the user is looking for. Retrieval may be based on both selected and unselected media units and the selection may comprise making a selection with a single action. Further, a database of media units can capture similarity relationships for efficient media unit retrieval.

An image management device that is communicably connected to a client terminal and a plurality of image storage devices, includes: a storage that stores identification information of image data with the identification information associated with an image storage device in which the image data is stored; a hardware processor that identifies an image storage device that stores image data specified by an image-data transmission request received from the client terminal based on the identification information of the image data stored in the storage, and instructs the identified image storage device to subject the image data specified by the transmission request to image processing; and a communicator that receives, from the identified image storage device, processed image data that has been subjected to the image processing, and transmits the processed image data to the client terminal.

Computer-implemented techniques for sematic image retrieval are disclosed. Digital images are classified into N number of categories based on their visual content. The classification provides a set of N-dimensional image vectors for the digital images. Each image vector contains up to N number of probability values for up to N number of corresponding categories. An N-dimensional image match vector is generated that projects an input keyword query into the vector space of the set of image vectors by computing the vector similarities between a word vector for the input query and a word vector for each of the N number of categories. Vector similarities between the image match vectors and the set of image vectors can be computed to determine images semantically relevant to the input query.

A system for automated conversion and delivery of medical images. In an example implementation, a server is configured to retrieve a medical image file including medical data and metadata, in a medical data format, determine an output destination type based on the metadata, identify standardized format specifications based on the determined output destination type from the retrieved metadata, convert the medical data into a format compatible with the identified standardized format, and transmit an output message of the converted medical data to at least a recipient delivery address.

A service provider may receive image data pertaining to real property listings from a multiple listing service (MLS). Textual data relating to real property may also be obtained from various sources, such as the MLS, public records, etc. The image data may be classified to determine classifications such as exterior/interior photos, photos of a kitchen, and/or the like. Textual data may then be processed to identify pertinent information, and correlate the pertinent information to the image data to generate annotated image data. The annotated image data may be presented on a user device so that the user views pertinent textual information while viewing the image data.

In an image processing device, an image processing method, a program, and a recording medium, a searching condition is a condition for searching for an image from an image group according to a condition other than an imaging timing, an image designating unit designates, as a designation search image, one search image selected from search images displayed on a display unit according to a command from the user, and an image display unit displays, as time-series images, the designation search image and at least a part of images which are included in the image group and captured earlier and later than an imaging timing of the designation search image in a sequence of time on the display unit according to a command from the user after only the designation search image is displayed on the display unit in a case where the designation search image is designated.

Methods and apparatus for using one or more feature recognition system(s) to identify features in a scanned image and to associate tags with identified features are described. Probabilities of a feature being present are taken into consideration in some embodiments. In various embodiments once a tag has been determined as corresponding to a feature which has been confirmed as being in the scanned image synonyms for the tag word are identified and also associated with the scanned image. By using results of multiple automated feature recognition systems and generating overall probabilities that a feature is present in an image more reliable tagging can be implemented in an automated manner than in system which rely on a single AI system without the need for extensive operator input with respect to identification of all features in the image which are to be tagged.