Abstract: Disclosed herein is a method of facilitating managing facilities for patients, in accordance with some embodiments. Accordingly, the method comprises receiving an identifier from a first device, analyzing the identifier, retrieving clinical data and patient data based on the analyzing, analyzing the clinical data and the patient data, determining a patient characteristic based on the analyzing of the clinical data and the patient data, identifying a second facility based on the determining, transmitting the second facility to a second device, initiating a timer based on the transmitting, generating an indication corresponding to a response receivable from the second device prior to the expiring of the timer, determining a primary second facility of the second facility based on the generating of the indication, generating referral data of the patient based on the determining of the primary second facility, and transmitting the referral data to a primary third device.

Abstract: Various embodiments enable an image recognition system reduce the number image match candidates before running a full-fledged pair-wise match on all image match candidates. In order to accomplish this, each inventory image can be assigned to a group. For example, a title for a book sold by an electronic marketplace could be available in multiple languages, in multiple bindings, and the book could be available in print, audio book, or electronic book. Each one of these variations could be associated with its own similarly looking inventory image, each of which could be returned as a valid match to a query image for the book. Accordingly, the inventory images for these variations could be assigned to a group for the book and, instead of geometrically processing an image for each variation, the image match system can process a single image representing all of the variations.

Abstract: Because not all companies register or obtain barcodes (or other encodings or identifiers) from a single, consistent source, and because different companies can be associated with the same barcode at different times, there can be multiple products associated with a specific barcode. If a user requests information associated with a specific barcode, information associated with the user or request can be used to attempt to determine the associated product if more than one matching product is uncovered. In some embodiments, a location of a user device at approximately a time of the request can be used to attempt to determine the appropriate product, such as if the user is in a store that only offers one of the potential products. Other information can be used as well, such as past locations, purchase history, viewing patterns, and the like.

Abstract: Techniques for providing recommended keywords in response to an image-based query are disclosed herein. In particular, various embodiments utilize an image matching service to identify recommended search keywords associated with image data received from a user. The search keywords can be used to perform a keyword search to identify content associated with an image input that may be relevant. For example, an image search query can be received from a user. The image search query may result in multiple different types of content that are associated with the image. The system may present keywords associated with matching images to allow a user to further refine their search and/or find other related products that may not match with the particular image. This enables users to quickly refine a search using keywords that may be difficult to identify otherwise and to find the most relevant content for the user.

Abstract: Techniques for providing recommended keywords in response to an image-based query are disclosed herein. In particular, various embodiments utilize an image matching service to identify recommended search keywords associated with image data received from a user. The search keywords can be used to perform a keyword search to identify content associated with an image input that may be relevant. For example, an image search query can be received from a user. The image search query may result in multiple different types of content that are associated with the image. The system may present keywords associated with matching images to allow a user to further refine their search and/or find other related products that may not match with the particular image. This enables users to quickly refine a search using keywords that may be difficult to identify otherwise and to find the most relevant content for the user.

Abstract: Approaches provide for updating information associated with points and/or objects of interest, such as businesses and other such entities. For example, an update service can analyze image data to determine visual features of a visual representation of a business. The visual features can be compared to information stored in a database. The information stored in the database can be derived from previously obtained image data that includes visual features corresponding to the business. A change in the visual representation of the business can be determined. The change might be due to, for example, a change in the business operating at that location which can result in a change in the visual appearance of the business; an update to business hours, contact information, or other information. Once the change is determined to at least a threshold amount, an event to update business information (e.g., the name of the business, contact information, images, etc.

Abstract: Techniques for generating representative images are disclosed herein. In particular, various embodiments utilize an image generation service to generate representative images for categories and sub-categories of objects. Each representative image can be a stylized depiction of an aggregated image corresponding to a particular category of objects. A user can refine the search, or continue to browse, by selecting one of the representative images. This enables users to quickly identify features the user is looking for or would like to exclude, by depicting the sort of objects associated with that category.

Abstract: Various embodiments provide for the generation of 3D models of objects. For example, depth data and color image data can be captured from viewpoints around an object using a sensor. A camera having a higher resolution can simultaneously capture image data of the object. Features between images captured by the image sensor and the camera can be extracted and compared to determine a mapping between the camera and the image. Once the mapping between the camera and the image sensor is determined, a second mapping between adjacent viewpoints can be determined for each image around the object. In this example, each viewpoint overlaps with an adjacent viewpoint and features extracted from two overlapping viewpoints are matched to determine their relative alignment. Accordingly, a 3D point cloud can be generated and the images captured by the camera can be projected on the surface of the 3D point cloud to generate the 3D model.

Abstract: A computing device can determine visual words for images in a first set of images associated with a description that includes a term. Each visual word can describe pixels in an image. The device can determine visual words for images in a second set of images that are associated with a description that does not include the term. The device can determine a set of visual words that are associated with the term. The device can determine regions in images corresponding to visual words in the set of visual words. The device can associate the respective determined regions for the images with the term in a database. When a search query is received that includes an image that is determined to be associated with the term, the database can be utilized to determine images responsive to the query by identifying images that are also associated with the term.

Abstract: Various embodiments provide a method for computing color descriptors of product images. For example, a number of fine color representatives can be determined to describe color variation in an image as a histogram by assigning a saturation value and a brightness value to a plurality of color hues. For each pixel of the image, the closest color among a defined fine color representative set is computed. In this example, each of the pixels is assigned a color ID corresponding to their closest matching fine color representative and at least one family color ID corresponding one or more pure color families. In this example, a histogram of the color representatives and a histogram for the color families are computed. A single color vector descriptor for the image is then determined by combining the family histogram with the color representative histogram.

Abstract: A user can capture image information about an object in order to identify the object. In addition to obtaining information about the object, the user can obtain additional views of the object. For example, if the user captures an image of packaging containing the object, the user can receive views of the object when out of the packaging, as well as a view showing the relative size of the object within the packaging. If the object requires assembly, the views can include views of the object at the component, part, or ingredient level, as well as views during assembly and one or more views of the finished product. A user also can obtain a virtual x-ray view that enables the user to move the client device with respect to the object in order to obtain different views of what is contained within the packaging.

Abstract: Embodiments of the present invention provide techniques for identifying and recommending similar items based on visual similarity to a selected content item. Visual similarity may be characterized by identifying features depicted in a selected content item and comparing those features to features in an electronic catalog of content items. Visual similarity may also factor in medium and subject matter. For example, when a content item depicts a landscape painting, other landscape paintings (rather than paintings of different subject matter or photographs) will be recommended. Other visual characteristics, such as color theme and distribution, brushwork, etc. may also be represented in the recommended content items. As discussed further herein, different features may be weighted differently based on the analysis of the content item. These weightings enable the recommended content items to be tailored to visually similar subject matter.

Abstract: Various embodiments may increase scalability of image representations stored in a database for use in image matching and retrieval. For example, a system providing image matching can obtain images of a number of inventory items, extract features from each image using a feature extraction algorithm, and transform the same into their feature descriptor representations. These feature descriptor representations can be subsequently stored and used to compare against query images submitted by users. Though the size of each feature descriptor representation isn't particularly large, the total number of these descriptors requires a substantial amount of storage space. Accordingly, feature descriptor representations are compressed to minimize storage and, in one example, machine learning can be used to compensate for information lost as a result of the compression.

Abstract: Various approaches discussed herein enable providing a virtual reality experience of trying on clothes by augmenting an image of an article of clothing so that it appears to be worn by a particular person who is represented in a separate image. The image of the person wearing a special article of clothing containing a number of gridlines is analyzed along with an image of the special article of clothing as it appears unworn. The analysis includes calculating differences in the images to determine a change in the position of the gridlines between the images, then used to generate body shape data. The body shape data is used to augment an image of a prospective article of clothing, which modified image is then combined with the image of the person wearing a special article of clothing and displayed.

Abstract: Systems and approaches for searching a content collection corresponding to query content are provided. In particular, false positive match rates between the query content and the content collection may be reduced with a minimum content region test and/or a minimum features per scale test. For example, by correlating content descriptors of a content piece in the content collection with query descriptors of the query content, the content piece can be determined to match the query content when a particular region of the content piece and/or a particular region of a query descriptor have a proportionate size meeting or exceeding a specified minimum. Alternatively, or in addition, the false positive match rate between query content and a content piece can be reduced by comparing content descriptors and query descriptors of features at a plurality of scales. A content piece can be determined to match the query content according to descriptor proportion quotas for the plurality of scales.

Abstract: Various embodiments enable a process to automatically attempt to select the most relevant words associated with products available for purchase from an electronic marketplace from an image frame. For example, an image frame containing text can be obtained and analyzed with an optical character recognition. The recognized words can then be preprocessed using various filtering and scoring techniques to narrow down a volume of text to a few relevant query terms. These query terms can then be sent to a search engine associated with the electronic marketplace to return relevant products to a user.

Abstract: Various embodiments provide a user with a capability to customize multiple image data stores, where each data store can be used to provide content tailored to different users having different interests, setting, or notification demands. For example, users can submit images and modify processing parameters to tune an image matching system to their, or their customer's, individual desires. Accordingly, content can be delivered to a computing device in response to a query image sent by the computing device to a matching system containing the customized image data stores. The delivered content can be related to, or derived from, an image in a respective data store that matches the provided query image.

Abstract: Approaches are described for rendering augmented reality overlays on an interface displaying the active field of view of a camera. The interface can display to a user an image or video, for example, and the overlay can be rendered over, near, or otherwise positioned with respect to any text or other such elements represented in the image. The overlay can have associated therewith at least one function or information, and when an input associated with the overlay is selected, the function can be performed (or caused to be performed) by the portable computing device.

Abstract: Various embodiments enable an image recognition system reduce the number image match candidates before running a full-fledged pair-wise match on all image match candidates. In order to accomplish this, each inventory image can be assigned to a group. For example, a title for a book sold by an electronic marketplace could be available in multiple languages, in multiple bindings, and the book could be available in print, audio book, or electronic book. Each one of these variations could be associated with its own similarly looking inventory image, each of which could be returned as a valid match to a query image for the book. Accordingly, the inventory images for these variations could be assigned to a group for the book and, instead of geometrically processing an image for each variation, the image match system can process a single image representing all of the variations.

Abstract: Various embodiments may obtain an image representation of an object for use in image matching and content retrieval. For example, an image matching system processes video content items to determine one or more scenes for one or more video content items. The image matching system can extract, from at least one video frame for a scene, feature descriptors relating to one or more objects represented in the at least one video frame. The image matching system indexes the feature descriptors into a feature index storing information for each of the feature descriptors and respective corresponding video frame. The image matching system correlates the feature descriptors of the feature index to determine one or more groups having similar feature descriptors. The image matching system indexes the one or more groups into a correlation index storing information for each of the one or more groups and respective corresponding feature descriptors.