Abstract: A system of cameras can be used to generate a complete field of view within an edge network. For example, one camera can have a field of view where part of the view is obstructed by an object and/or by the camera's orientation. Yet another camera that is a part of the edge network can supplement the view of the first camera by providing an alternate view. The two views can be stitched together by a coordinate system such that a complete field of view can be utilized by both cameras. Additionally, where a field of view is not available by any stationary camera, the system can dispatch a mobile camera to help supplement the views.

Abstract: A view can be presented with an augmented reality (AR) view of the space. The AR view can be augmented with imagery to indicate to the viewer environmental conditions that may not otherwise be known to the viewer. The viewer can also initiate alterations to the environment based on the information and recommendations presented in the AR view. Current conditions, past trends, and forecasted future trends can be included in the creation of the AR displays.

Abstract: A view can be presented with an augmented reality (AR) view of the space. The viewer can also initiate alterations to the environment based on the information and recommendations presented in the AR view. Current conditions, past trends, and forecasted future trends can be included in the creation of the AR displays. For example, the AR system can capture, archive, and predict audio to accompany an augmented reality or virtual reality experience. The audio presented with the experience can be from a real-time capture, an audio file captured in the past, and/or a simulated audio file representing an estimated past or future environment.

Abstract: Concepts and technologies directed to surrogate metadata aggregation for dynamic content assembly are disclosed. Embodiments can include a system that comprises a processor and a memory that stores computer-executable instructions that configure a processor to perform operations. The operations can include obtaining a first visual content from a digital data store, where the first visual content is configured to digitally represent a first scene. The operations can include performing image recognition on the first visual content so as to identify a second visual content that is digitally configured to represent a second scene. The operations can include determining that native original metadata cannot be obtained for the first visual content, where the native original metadata includes information about the first scene digitally represented by the first visual content.

Abstract: A collaborative video camera system of an edge node can be used to track and predict objects, locations of the objects, and events associated therewith. For example, multiple cameras can be utilized to determine the direction in which an object is heading. This data can be used to activate and/or dispatch other cameras that may be at or near the predicted location of the object. Additionally, sound associated with the object can be used to predict and/or active cameras that are at or near the predicted location of the object.

Abstract: A simulation of a planned future environment can be presented, including social aspects, along with a simulation of other aspects of the environment, such as sounds and other environment conditions. For example, a user can plan a travel route from point A to point B and view a preview of the journey prior to beginning the journey to envision what to expect and possibly alter their plans as a result. In order for a simulated preview of the journey to be created, a set of data can be collected that can represent the location of connected or non-connected objects at a point in time and predict their location at later points in time. The prediction can be validated or confirmed by other connected devices long the route.

Abstract: Communications services are provided to a device. For instance, where a communications resource is being used by a device via a first communications service provider (CSP) component associated with a first CSP, based on a probabilistic analysis of loading parameters received from a device at the first CSP component. A likelihood that the device will move can be predicted, comprising determining the likelihood is not less than a threshold likelihood. If likely to move, and based on the loading parameters, a loading profile associated with a user of the device is updated resulting in updated likelihoods of usages of the communication resource by the device via respective other CSP components other than the first CSP component. Further, based on the updated likelihoods of usages of the communication resource, at least part of the communications resource can be allocated to the respective other CSP components to facilitate communications with the device.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for detecting a navigation application operating on a first communication device, and identifying a location of the first communication device. Further embodiments can include obtaining a first advertisement and a second advertisement according to the location of the first communication device as well as determining a first priority associated with the first advertisement and a second priority associated with the second advertisement. Additional embodiments can include determining the first priority is higher than the second priority resulting in a determination to present the first advertisement prior to the second advertisement, and providing the first advertisement, the second advertisement, and the determination to the first communication device.

Abstract: Concepts and technologies disclosed herein are directed to forecasting expenditures to improve customer shopping experience in a store environment. According to one aspect disclosed herein, a device associated with a customer can present a shopping cart user interface and initiate a forecast spend module of a forecast spend application. The device can monitor an item detection module of the forecast spend application for a new item added to a physical shopping cart associated with the shopping cart user interface or otherwise marked for purchase. In response to the new item being added to the shopping cart or otherwise marked for purchase, the device can update, via the forecast spend module, a forecast spend field in the shopping cart user interface with a forecast spend value based upon a cost of the new item.

Abstract: A view can be presented with an augmented reality (AR) view of the space. The AR view can be augmented with imagery to indicate to the viewer environmental conditions that may not otherwise be known to the viewer. The viewer can also initiate alterations to the environment based on the information and recommendations presented in the AR view. Current conditions, past trends, and forecasted future trends can be included in the creation of the AR displays.

Abstract: This disclosure describes a solution to facilitate collaborative vehicle warnings via an edge node. An edge network can provide resources to the vehicles such that the vehicles can operate in a harmonic and safe manner. For example, a non-compliance of a vehicle captured by a video camera of another vehicle can be sent to the edge node for analysis. If other data related to non-compliances of the vehicle are received by the edge node, the edge node can label the vehicle as an unsafe vehicle. In response to the labeling the vehicle as an unsafe vehicle, the edge node can share this information with the vehicles that sent the video feed info and/or other vehicles that are nearby.

Abstract: Aspects of the subject disclosure may include, for example, providing to a user device a video content item including at least one scene which includes a plurality of advertisement placement opportunities and determining a preference profile for an individual associated with the user device. Aspects further include selecting a group of matching advertisements having advertisement profiles that match the preference profile for the individual and determining a relative prominence score for each advertisement placement opportunity. Aspects further include ordering the matching advertisements according to prominence information specified for each matching advertisement, wherein the prominence information corresponds to a relative desired prominence specified by an advertiser associated with the matching advertisement.

Abstract: Edge node networks can be utilized to facilitate predictive access to content for a wide variety of applications. For example, predictive data can be generated based on historical patterns, audio data, calendar invites, etc. The predictive data can include predicted locations, persons present based on usage of their mobile device, edge node and access point usage, etc. The predicted data can be used to facilitate more efficient access to content by proactively sending mobile application and/or content usage data to edge node equipment that is predicted to be used in accordance with a predicted a predicted event. Furthermore, the predictive analysis can be used to modify mobile screens for quicker access to content and/or mobile applications.

Abstract: A collaborative video camera system of an edge node can be used to track and predict objects, locations of the objects, and events associated therewith. For example, multiple cameras can be utilized to determine the direct in which an object is heading. This data can be used to activate and/or dispatch other cameras that may be at or near the predicted location of the object. Additionally, sound associated with the object can be used to predict and/or active cameras that are at or near the predicted location of the object.

Abstract: Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, that is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

Abstract: This disclosure describes a solution to facilitate interactions between non-autonomous and autonomous vehicles when sharing a road system. An edge network can provide resources to the vehicles such that non-autonomous and autonomous vehicles can operate in a harmonic and safe manner. Additionally, an augment reality display of the vehicles can be used to further facilitate communication between non-autonomous and autonomous vehicles. For example, a predicted direction or an imperative direction associated with an autonomous vehicle can be communicated to a non-autonomous vehicle such that an augmented reality display of the non-autonomous vehicle can alert the driver of the non-autonomous vehicle of a of such to increase safety measures.

Abstract: A system of cameras can be used to generate a complete field of view within an edge network. For example, one camera can have a field of view where part of the view is obstructed by an object and/or by the camera's orientation. Yet another camera that is a part of the edge network can supplement the view of the first camera by providing an alternate view. The two views can be stitched together by a coordinate system such that a complete field of view can be utilized by both cameras. Additionally, where a field of view is not available by any stationary camera, the system can dispatch a mobile camera to help supplement the views.

Abstract: Aspects of the subject disclosure may include, for example, storing, in a database, information associated with a first item purchased by a user, the information comprising an identification of the first item and a time of purchase of the first item; receiving web browsing data based upon monitoring, by another device, web browsing of the user; determining, based upon the web browsing data that is received, whether the user is currently browsing at a shopping website, resulting in a determination; responsive to the determination being that the user is currently browsing at the shopping website, querying the database to determine an elapsed time since the time of purchase of the first item; responsive to the elapsed time meeting a threshold, generating a message to send to the another device monitoring the web browsing, the message informing the user of a suggested second item for the buyer to purchase, the suggested second item being a replacement for the first item; and sending the message to the another dev

Abstract: Aspects of the subject disclosure may include, for example, storing, in a personal inventory database, first identification information associated with a first item purchased by a first user at a first website of a first merchant, the first identification information being obtained electronically from one or more first servers that provide the first website; storing, in the personal inventory database, second identification information associated with a second item purchased by the first user at a second website of a second merchant, the second merchant being a different merchant than the first merchant, the second website being a different website than the first website, the second identification information being obtained electronically from one or more second servers that provide the second website, and each of the one or more second servers being a different server than each of the one or more first servers; receiving first web browsing data based upon monitoring first web browsing of the first user, the

Abstract: Concepts and technologies directed to surrogate metadata aggregation for dynamic content assembly are disclosed. Embodiments can include a system that comprises a processor and a memory that stores computer-executable instructions that configure a processor to perform operations. The operations can include obtaining a first visual content from a digital data store, where the first visual content is configured to digitally represent a first scene. The operations can include performing image recognition on the first visual content so as to identify a second visual content that is digitally configured to represent a second scene. The operations can include determining that native original metadata cannot be obtained for the first visual content, where the native original metadata includes information about the first scene digitally represented by the first visual content.