Abstract: Systems and methods are described for automated detection of border conflicts in physical radiofrequency (RF) communication network infrastructures. For example, proposed sector antennas in a greenfield physical network deployment may be licensed to radiate in certain spectrum blocks in the mapped licensed geographic regions (mLGR) where they are located, but the licenses may not permit radiated power in those spectrum blocks to cross into adjacent mLGRs. Embodiments compute radiation contours for the sector antennas indicating estimated local power levels computed based on antenna characteristics of the sector antennas and propagation model data that defines geographic morphologies for the mLGRs. The radiation contours are analyzed to detect any border conflict conditions where the estimated local power levels exceed defined threshold radiation levels in unlicensed regions. A culprit set of the sector antennas can be output to indicate those responsible for detected border conflict conditions.

Abstract: Systems and methods are described for automated sector creation in greenfield physical radiofrequency (RF) communication network infrastructures. For example, a network operator is granted licenses to use multiple spectrum blocks in multiple geographic regions for which the network operator does not currently have physical infrastructure. An RF network design defines a number of template antennas located at template site locations to meet a link budget over a target coverage area. For each template site location, embodiments can automatically compute sectors based on the associated template antennas and local spectrum licensing information. The computed sectors can effectively define a physical network deployment, including locations and configurations for sector antennas, by which the network operator can provide a desired quality of coverage to subscribers in the target coverage area.

Abstract: Described herein is a system and techniques for classification of subjects within image information. In some embodiments, a set of subjects may be identified within image data obtained at two different points in time. For each of the subjects in the set of subjects, facial landmark relationships may be assessed at the two different points in time to determine a difference in facial expression. That difference may be compared to a threshold value. Additionally, contours of each of the subjects in the set of subjects may be assessed at the two different points in time to determine a difference in body position. That difference may be compared to a different threshold value. Each of the subjects in the set of subjects may then be classified based on the comparison between the differences and the threshold values.

Abstract: A computer readable medium for sizing a product includes instructions, that when executed by at least one processor, cause a computing device to: retrieve from a webpage information on a product including product dimensions; present on a display of a client device a graphical button that upon access by a user activates a camera for capturing an image of an object positioned at a focal distance from the camera, the object having a surface; prompt the user to enter boundary information of an imaginary housing to be placed on the surface; generate the imaginary housing dimensions in two dimensions (2D) based on the boundary information and the focal distance; and determine whether the product fits within the imaginary housing by comparing the product dimensions against the imaginary housing dimensions.

Abstract: Various arrangements of a hybrid cellular network are presented. The hybrid cellular network includes multiple base stations. Multiple subnets are created within a region of a public cloud computing platform. Each subnet can be executed at a different data center of the public cloud computing platform. Cellular network functions are instantiated within the subnets in the region of the public cloud computing platform. Multiple virtual routers that manage the routing of packets for the cellular network functions are created within the subnets.

Abstract: Arrangements for using a virtual private network via a cellular network are detailed herein. A cellular network can receive, from a client, various characteristics. The cellular network can be used to identify a cluster template based on the characteristics. The cellular network can then instantiate a cluster based on the cluster template on a public cloud computing platform. Access, via a radio access network (RAN) of the cellular network can then be provided to one or more client services executed within the cluster on the public cloud computing platform.

Abstract: Various arrangements of a hybrid cellular network system are detailed herein. The system can include a cellular radio access network (RAN) comprising a plurality of base stations (BSs). Each BS can include an antenna, a physical router; a radio units (RU), and a distributed unit (DU). The system can include multiple pass-through edge data centers (P-EDCs). Each P-EDC is in communication with a different subset of BSs. The system can include an aggregation data center (ADC) in communication with the P-EDCs. The system can further include a breakout edge data center (EDC) executed at an EDC of a cloud computing platform, the B-EDC including a second transit gateway and a virtual router.

Abstract: Various arrangements of hybrid cloud cellular networks are presented. A hybrid cloud cellular network can include multiple base stations, each base station including a radio unit (RU); a router; and a distributed unit (DU). The network can include a cellular network cluster that includes multiple network functions. The cellular network cluster can be implemented on a cloud computing platform and communicates with the DUs of the base stations. The cluster can include a virtual router that receives traffic from the cellular network cluster and the virtual router is configured to analyze a label of each packet of the received cellular network data traffic. The virtual router can prioritize routing of packets of the received data traffic on the cloud computing platform based on the label of each packet.

Abstract: Techniques are provided for providing a user with retrieved images of a specific article of clothing or accessory worn by models having a particular body type and pose as selected by the user. The images have been analyzed to identify both a body type and pose of the model wearing the article of clothing in each of the images. The images are labeled based on at least body type and pose of the model and clustered based on their labels, and are thus available for retrieval by subsequent requests by a user. In particular, a user that is interested in the article of clothing can input one or more requests for images of models having a selected body type and pose. Any of the images labeled with the selected body type and pose can then be provided to the user in any number ways.

Abstract: Digital image ordering based on object position and aesthetics is leveraged in a digital medium environment. According to various implementations, an image analysis system is implemented to identify visual objects in digital images and determine aesthetics attributes of the digital images. The digital images can then be arranged in way that prioritizes digital images that include relevant visual objects and that exhibit optimum visual aesthetics.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for automatically, accurately, and efficiently correcting eye region artifacts including dark eye regions and wrinkles within a digital image portraying a human face. In particular, in one or more embodiments the disclosed systems localize areas within a digital image to identify eye region artifacts including dark eye regions and wrinkles. In one or more embodiments, the disclosed systems generate a corrected color image by correcting dark eye regions in a low frequency layer of the digital image by replacing the dark eye regions with candidate eye regions. Furthermore, in one or more embodiments the disclosed systems generate a corrected texture image by correcting wrinkles in a high frequency layer by processing the digital image utilizing a smoothing algorithm. The disclosed systems further generate a corrected digital image by combining the corrected color image and the corrected texture image.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and providing pose guides that are tailored to a context of a camera viewfinder stream. In particular, in one or more embodiments, the disclosed systems determine a context of the camera viewfinder stream and provide sample pose images that correspond with the determined context. In response to a selection of a sample pose image, the disclosed systems generate and display a pose guide that is customized to the proportions of a subject depicted in the camera viewfinder stream. The disclosed systems further iteratively modify portions of the generated pose guide to indicate that the subject depicted in the camera viewfinder stream is coming into alignment with the generated pose guide. The disclosed systems automatically capture a digital image when the subject is in total alignment with the generated pose guide.

Abstract: In implementations of image content snapping guidelines, a guidelines segmentation system includes modules, such as an image pre-processing module to reduce the image size of a digital image if the image size exceeds an image size threshold. An object segmentation module segments objects depicted in the digital image and identifies each object by a bounding border that delineates an object region boundary. An edge detection module receives a segmented object and determines object external edges and object feature edges from the segmented object, and identifies object corners of the object. A snapping guidelines module determines image content snapping guidelines of an object depicted in the digital image, the image content snapping guidelines for an object determined based on the bounding border of the object region boundary, the object external edges, the object feature edges, and projected snapping guidelines that extend from the object corners of the object.

Abstract: Digital image ordering based on object position and aesthetics is leveraged in a digital medium environment. According to various implementations, an image analysis system is implemented to identify visual objects in digital images and determine aesthetics attributes of the digital images. The digital images can then be arranged in way that prioritizes digital images that include relevant visual objects and that exhibit optimum visual aesthetics.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and providing pose guides that are tailored to a context of a camera viewfinder stream. In particular, in one or more embodiments, the disclosed systems determine a context of the camera viewfinder stream and provide sample pose images that correspond with the determined context. In response to a selection of a sample pose image, the disclosed systems generate and display a pose guide that is customized to the proportions of a subject depicted in the camera viewfinder stream. The disclosed systems further iteratively modify portions of the generated pose guide to indicate that the subject depicted in the camera viewfinder stream is coming into alignment with the generated pose guide. The disclosed systems automatically capture a digital image when the subject is in total alignment with the generated pose guide.

Abstract: A computer readable medium for sizing a product includes instructions, that when executed by at least one processor, cause a computing device to: retrieve from a webpage information on a product including product dimensions; present on a display of a client device a graphical button that upon access by a user activates a camera for capturing an image of an object positioned at a focal distance from the camera, the object having a surface; prompt the user to enter boundary information of an imaginary housing to be placed on the surface; generate the imaginary housing dimensions in two dimensions (2D) based on the boundary information and the focal distance; and determine whether the product fits within the imaginary housing by comparing the product dimensions against the imaginary housing dimensions.

Abstract: Methods and systems are provided for facilitating automated braces removal from individuals in images. In embodiments described herein, an indication to remove the braces from an individual wearing braces in an image is obtained. Based on receiving the indication to remove the braces, automatically, without user intervention, a teeth region is identified in the image that includes teeth of the individual, and a braces region is identified that includes braces visible in the teeth region. The teeth region and braces region are used to generate an edited image that includes the individual without braces.

Abstract: Techniques are disclosed for identifying and presenting video content that demonstrates features of a target product. The video content can be accessed, for example, from a media database of user-generated videos that demonstrate one or more features of the target product so that a user can see and hear the product in operation via a product webpage before making a purchasing decision. The product functioning videos supplement any static images of the target product and the textual product description to provide the user with additional context for each of the product's features, depending on the textual product description. The user can quickly and easily interact with the product webpage to access and playback the product functioning video to see and/or hear the product in operation.

Abstract: Techniques are provided herein for retrieving images that correspond to a target subject matter within a target context. Although useful in a number of applications, the techniques provided herein are particularly useful in contextual product association and visualization. A method is provided to apply product images to a neural network. The neural network is configured to classify the products in the images. The images are associated with a context representing the combination of classified products in the images. These techniques leverage both seller-provided images of products and user-generated content, which potentially includes hundreds or thousands of images of the same or similar products as the seller-provided images. A graphical user interface is configured to permit a user to select the context of interest in which to visualize the products.

Abstract: Techniques are provided for providing a user with retrieved images of a specific article of clothing or accessory worn by models having a particular body type and pose as selected by the user. The images have been analyzed to identify both a body type and pose of the model wearing the article of clothing in each of the images. The images are labeled based on at least body type and pose of the model and clustered based on their labels, and are thus available for retrieval by subsequent requests by a user. In particular, a user that is interested in the article of clothing can input one or more requests for images of models having a selected body type and pose. Any of the images labeled with the selected body type and pose can then be provided to the user in any number ways.