Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

The present disclosure provides a system for a user to upload a photo of an image object and an associated question related to the image object. If the system can determine a direct match based on previously stored image objects in a database correctly, the user can verify that the system generated answer is correct. If the system cannot identify the image object from the database, the system can rely on other users of the application to help identify and comment on the image object to determine the answers to the user's questions about the image object.

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.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing image search. In one aspect, a system receives a request for images responsive to a provided search query including one or more search terms. The system obtains content labels for the provided search query which represent entities depicted in images identified by search results previously generated by a search system by processing search queries comprising search terms included in the provided search query. The system uses the content labels for the provided search query to determine a relevance score for each of multiple candidate images. The system determines a ranking of the candidate images based in part on the relevance scores for the candidate images.

A system for selecting an image to accompany text from a user in connection with a social media post. The system is capable of 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, presenting one or more candidate images to the user, 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.

A system for selecting an image to accompany text from a user in connection with a social media post. The system is capable of 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, presenting one or more candidate images to the user, 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.

Methods and apparatus for processing images are provided. The image processing method includes obtaining an image using an electronic device; associating first metadata corresponding to the image with a first layer of a hierarchical data structure, wherein the hierarchical data structure includes a plurality of layers, including the first layer and a second layer; associating second metadata with the second layer, wherein the second metadata corresponds to one or more of a plurality of blocks into which the image is divided; and storing the hierarchical data structure in association with the image in a storage unit operatively coupled to the electronic device.

The present invention is an improvement to a computer system for processing, storing and searching DICOM medical imaging objects and non-DICOM files. The improvement is the addition of a directory manager, a user interface and a search manager that allows users to define a hierarchy of directories that link to both DICOM and non-DICOM files. Contents of files are indexed, including metadata so they are searchable. The system automatically creates directories representing DICOM series and studies by analyzing metadata in DICOM image files DICOM devices can send DICOM data directly to directories in the file system using the DICOM protocol.

The present invention is an improvement to a computer system for processing, storing and searching DICOM medical imaging objects and non-DICOM files. The improvement is the addition of a directory manager, a user interface and a search manager that allows users to define a hierarchy of directories that link to both DICOM and non-DICOM files. Contents of files are indexed, including metadata so they are searchable. The system automatically creates directories representing DICOM series and studies by analyzing metadata in DICOM image files DICOM devices can send DICOM data directly to directories in the file system using the DICOM protocol.