Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: Systems and methods are provided for adjusting item attribute values of an item. Aspects of the present disclosure may present for display item information associated with an item, where the item information includes one or more item attributes that are each associated with an item attribute value. A selection of the item may be received, where the selection of the item corresponds to a user request to add the item to an order. At least one of the item attribute values associated with the item may be selected by the user. After the item is added to the order, item information associated with each of the items of the order may be displayed, where the displayed item information associated with the item includes a selectable option for changing an item attribute value associated with the item of the order from within the displayed item information.

Abstract: Techniques are described for using computing devices to perform automated operations to control acquisition of images in a defined area, including obtaining and using data from one or more hardware sensors on a mobile device that is acquiring the images, analyzing the sensor data (e.g., in a real-time manner) to determine the geometric orientation of the mobile device in three-dimensional (3D) space, and using that determined orientation to control the acquisition of further images by the mobile device. In some situations, the determined orientation information may be used in part to automatically generate and display a corresponding GUI (graphical user interface) that is overlaid on and augments displayed images of the environment surrounding the mobile device during the image acquisition process, so as to control the mobile device's geometric orientation in 3D space.

Abstract: A visualization service generates a graphical representation or visualization of each user's behavior within a network resource, such as a website. In one example, the visualization service provides a dynamic visualization of each user accessing the network resource. Each user is graphically represented in the visualization with an indicium, such as a point or dot. The visualization (and thus, the position of each indicium representing a user) is dynamically updated as each user accesses data files from the network resource and thus, moves from state to state (or page to page) over time. The effect is similar to watching cars move along a complex highway system.

Abstract: Disclosed are various embodiments of systems and methods for content notification. For example, in some embodiments, a method includes the step of storing a network page in a memory in a client computing device. The network page includes a list of item representations associated with a plurality of items. Each item representation is associated with a respective one of the items. The method further includes the step of rendering the network page using the client computing device. The network page includes a content notification component in a visible portion, and the content notification component is visible in a viewport. The content notification component provides notification to a user of at least one non-visible portion of the network page.

Abstract: A visualization service generates a graphical representation or visualization of each user's behavior within a network resource, such as a website. In one example, the visualization service provides a dynamic visualization of each user accessing the network resource. Each user is graphically represented in the visualization with an indicium, such as a point or dot. The visualization (and thus, the position of each indicium representing a user) is dynamically updated as each user accesses data files from the network resource and thus, moves from state to state (or page to page) over time. The effect is similar to watching cars move along a complex highway system.