Abstract: A system and method for segmentation of content delivery is described. A virtual object model is divided into a plurality of segments. An order of the plurality of segments is arranged in a delivery queue. Each segment of the virtual object model is delivered in the order of the delivery queue to a device that is configured to recognize a physical object that is associated with the virtual object model.

Abstract: A server for campaign optimization is described. An experience content dataset is generated for an augmented reality application of a device based on analytics results. The analytics results are generated based on analytics data received from the device. The experience content dataset is provided to the device. The device recognizes a content identifier of the experience content dataset and generates an interactive experience with a presentation of virtual object content that is associated with the content identifier.

Abstract: Visual gestures in a device allow a user to select and activate features in a display of the device. A visual reference on a physical object is identified. A visualization of a virtual object engaged with an image of the physical object is generated in a display of a device. The virtual object corresponds to the visual reference. A rendering of the visualization of the virtual object is based a position of the display relative to the visual reference. A focus area in the display and a feature of the object are determined. A state of the feature is changed when the feature is in the focus area of the display.

Abstract: A server receives and analyzes analytics data from an application of one or more devices. The application corresponds to a content generator. The server generates, using the content generator, a visualization content dataset based on the analysis of the analytics data. The visualization content dataset comprises a set of images, along with corresponding analytics virtual object models to be engaged with an image of a physical object captured with the one or more devices and recognized in the set of images. The analytics data and the visualization content dataset may be stored in a storage device of the server.

Abstract: A contextual local image recognition module of a device retrieves a primary content dataset from a server and then generates and updates a contextual content dataset based on an image captured with the device. The device stores the primary content dataset and the contextual content dataset. The primary content dataset comprises a first set of images and corresponding virtual object models. The contextual content dataset comprises a second set of images and corresponding virtual object models retrieved from the server.

Abstract: A server for content creation is described. A content creation tool of the server generates an experience content dataset using a template to process a content identifier and virtual object content. An experience generator of the server provides the experience content dataset to a device that recognizes the content identifier, to generate an interactive experience with the virtual object content at the device.