A method for retrieving a plurality of electronic images that includes obtaining images from a plurality of electronic storage sites. A first set of images containing a main protagonist is selected from the plurality of electronic images. An intent based image selection is performed from the first set of images. The intent based image selection includes tagging the first set of images with word tags identifying content of the images, creating a word cloud from the word tags, plotting the top word tags from the word cloud in a Venn diagram, and extracting images from the overlapping are of the Venn diagram.

Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.

An information processing apparatus includes a circuitry configured to provide a slide image including a sample image and a label image which are obtained by shooting a slide, generate a first image that a specific area of the slide image is concealed, output a thumbnail image, wherein the thumbnail image is one of the slide image and the first image.

An information processing apparatus includes a circuitry configured to provide a slide image including a sample image and a label image which are obtained by shooting a slide, generate a first image that a specific area of the slide image is concealed, output a thumbnail image, wherein the thumbnail image is one of the slide image and the first image.

A method for localization and mapping, including recording an image at a camera mounted to a vehicle, the vehicle associated with a global system location; identifying a landmark depicted in the image with a landmark identification module of a computing system associated with the vehicle, the identified landmark having a landmark geographic location and a known parameter; extracting a set of landmark parameters from the image with a feature extraction module of the computing system; determining, at the computing system, a relative position between the vehicle and the landmark geographic location based on a comparison between the extracted set of landmark parameters and the known parameter; and updating, at the computing system, the global system location based on the relative position.

This image processing apparatus accepts a request to execute predetermined image processing, acquires an image processing name indicating a name of the predetermined image processing from the accepted request, selects a plugin application corresponding to the acquired image processing name from one or more installed plugin applications, and instructs the selected plugin application to perform the predetermined image processing.

A method for beverage identification includes capturing an image including at least a portion of a menu extracting information from the image, where the information includes a name of a wine, a grape variety, a region, a producer, a vintage, a price per unit, or a combination thereof, or where the information includes a name of a beer, a brewer, a hop variety, a grain variety, a price per unit, or a combination thereof, and outputting the image and the information.

An image receiving unit receives an input of an image set owned by a first user, an image analyzing unit analyzes each image included in the image set, a tag information setting unit sets tag information items to be assigned to each image based on an analyzing result of each image, and a tag information assigning unit assigns, as main tag information, the tag information, among the tag information items to be assigned to the image, for which a ratio of the number of times of appearances of the tag information to be assigned to the image to the total number of times of appearances of all the tag information items to be assigned to all the images included in the image set is equal to or greater than a first threshold value and is equal to or less than a second threshold value, to the image, for each image.

Improved techniques for re-localizing Internet-of-Things (IOT) devices are disclosed herein. Sensor data digitally representing one or more condition(s) monitored by an IOT device is received. In response, a sensor readings map is accessed, where this map is associated with the IOT device. The map also digitally represents the IOT device's environment and includes data representative of a location of the IOT device within the environment. The map also includes data representative of the conditions monitored by the IOT device. Additionally, the map is updated by attaching the sensor data to the map. In some cases, a coverage map can also be computed. Both the sensors readings map and the coverage map can be automatically updated in response to the TOT device being re-localized.

Systems and methods are provided for automatically generating a digital imaging and communications in medicine (DICOM) conformance statement. In one example, a method includes determining a set of DICOM query/retrieve capabilities of a DICOM application implemented on a DICOM device by performing a list of queries to the DICOM application, and populating a DICOM conformance statement with the determined set of DICOM query/retrieve capabilities.