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.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for relevance feedback with faceted search interface. A system provides a first search query to an image search engine for initiating an image search, where the first search query indicates a first search term. The system obtains image metadata from an image collection, and obtains a listing of query refinement terms associated with the first search query from the query refinement data structure. The system determines a listing of search results containing images with one or more facets associated with the listing of query refinement terms. The system then receives user input indicating selection of at least one of the one or more facets of an image in the listing of search results. The system provides a second search query using the first search term and a second search term indicating the selected one or more facets.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for relevance feedback with faceted search interface. A system provides a first search query to an image search engine for initiating an image search, where the first search query indicates a first search term. The system obtains image metadata from an image collection, and obtains a listing of query refinement terms associated with the first search query from the query refinement data structure. The system determines a listing of search results containing images with one or more facets associated with the listing of query refinement terms. The system then receives user input indicating selection of at least one of the one or more facets of an image in the listing of search results. The system provides a second search query using the first search term and a second search term indicating the selected one or more facets.

Example techniques and systems may obtain one or more search types associated with a geographic location of a computing device. In one example, a technique may include determining, by a mobile computing device, a geographic location of the mobile computing device and obtaining one or more search types associated with the geographic location. Responsive to obtaining the one or more search types, the technique may also include outputting, by the mobile computing device and for display, a graphical user interface comprising at least an indication of the one or more search types associated with the geographic location.

Techniques for generating an arbitrary view of an asset are disclosed. In some embodiments, arbitrary view generation includes storing a set of images associated with an asset in a database and generating an image comprising a requested view of the asset using at least a subset of the set of images associated with the asset that are stored in the database.

Techniques for generating an arbitrary view of an asset are disclosed. In some embodiments, arbitrary view generation includes storing a set of images associated with an asset in a database and generating an image comprising a requested view of the asset using at least a subset of the set of images associated with the asset that are stored in the database.

Embodiments disclose systems and methods that aid in screening, diagnosis and/or monitoring of medical conditions. The systems and methods may allow, for example, for automated identification and localization of lesions and other anatomical structures from medical data obtained from medical imaging devices, computation of image-based biomarkers including quantification of dynamics of lesions, and/or integration with telemedicine services, programs, or software.

Computer-implemented techniques for sematic image retrieval. According to one technique, 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.

Methods, systems, and media for performing personalized actions on mobile devices associated with a media presentation device are provided. In some implementations, the method comprises: determining that a mobile device is associated with a media presentation device over a communications network, wherein the media presentation device is in an operating mode that presents a sequence of images; receiving a user command that indicates interest in an image from the sequence of images being presented on the media presentation device; determining metadata associated with the image from the sequence of images being presented on the media presentation device; causing the metadata associated with the image to be stored with a representation of the image from the sequence of images and a user account identifier corresponding to a user of the mobile device; receiving a request to review saved image information corresponding to one or more images in which the user command indicative of interest has been received; and in response to receiving the request, causing a user interface element to be presented that allows a user of the mobile device to navigate through the saved image information, wherein the user interface element includes at least the representation of the image from the sequence of images and information relating to the image from the sequence of images.

A device, system, and method performs an image compression. The method includes receiving raw image data of an image and identifying objects in the image as one of a foreground object or a background object. The method includes generating first foreground image data for a first foreground object. The method includes generating first metadata for a first background object. The first metadata indicates a first identity and a first descriptive parameter for the first background object. The first descriptive parameter relates to how the first background object is situated in the image. The method includes generating first background image data for the first background object. The first background image data is empty data. The method includes storing processed image data for the image comprising the first foreground image data, the first metadata, and the first background image data.