Abstract: Techniques for conversation recovery in a dialog management system are described. A system may determine, using dialog models, that a predicted action to be performed by a skill component is likely to result in an undesired response or that the skill component is unable to respond to a user input of a dialog session. Rather than informing the user that the skill component is unable to respond, the system may send data to the skill component to enable the skill component to determine a correct action responsive to the user input. The data may include an indication of the predicted action and/or entity data corresponding to the user input. The system may receive, from the skill component, response data corresponding to the user input, and may use the response data to update a dialog context for the dialog session and an inference engine of the dialog management system.

Abstract: A dialog manager receives text data corresponding to a dialog with a user. Entities represented in the text data are identified. Context data relating to the dialog is maintained, which may include prior dialog, prior API calls, user profile information, or other data. Using the text data and the context data, an N-best list of one or more dialog models is selected to process the text data. After processing the text data, the outputs of the N-best models are ranked and a top-scoring output is selected. The top-scoring output may be an API call and/or an audio prompt.

Abstract: In one aspect, a method for detecting an object and/or managing an inventory will be described. A motion of an object is detected at a storage structure. One or more images are acquired of at least a part of the object. A direction of the motion of the object is determined. An object is identified based on the one or more images. In various embodiments, an inventory for the storage structure is updated based on the motion direction determination and the object identity.

Abstract: An electronic system includes: a communication unit is configured to communicate a challenge; a user interface, coupled to the communication unit is configured to select rich content for a point of view based on the challenge; and a storage unit, coupled to the user interface, is configured to capture a response to the point of view based on the challenge.

Abstract: An electronic system includes a storage interface configured to access a kinematic model for representing one or more motions of a carrier; a control unit, coupled to the storage interface, configured to determine an attachment location of an attachable device based on the kinematic model; and generate a device setting based on the attachment location for provisioning the attachable device.

Abstract: A method of operation of a display system includes: receiving a recap request for a source media; generating source content descriptors for the source media with a control unit; extracting a source recap segment from the source media based on correlation of the source content descriptors with a recap theme associated with the recap request; and generating a custom recap with the source recap segment for displaying on a device.

Abstract: In one aspect, a method for detecting an object and/or managing an inventory will be described. A motion of an object is detected at a storage structure. One or more images are acquired of at least a part of the object. A direction of the motion of the object is determined An object is identified based on the one or more images. In various embodiments, an inventory for the storage structure is updated based on the motion direction determination and the object identity.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: A system, method, and computer program product for automatically combining computer-generated imagery with real-world imagery in a portable electronic device by retrieving, manipulating, and sharing relevant stored videos, preferably in real time. A video is captured with a hand-held device and stored. Metadata including the camera's physical location and orientation is appended to a data stream, along with user input. The server analyzes the data stream and further annotates the metadata, producing a searchable library of videos and metadata. Later, when a camera user generates a new data stream, the linked server analyzes it, identifies relevant material from the library, retrieves the material and tagged information, adjusts it for proper orientation, then renders and superimposes it onto the current camera view so the user views an augmented reality.

Abstract: An electronic system includes: a communication unit is configured to communicate a challenge; a user interface, coupled to the communication unit is configured to select rich content for a point of view based on the challenge; and a storage unit, coupled to the user interface, is configured to capture a response to the point of view based on the challenge.

Abstract: An electronic system includes: a storage unit configured to create a card, a storage unit configured to create a card, a communication unit, coupled to the control unit, configured to transfer the card.

Abstract: An electronic system includes a storage interface configured to access a kinematic model for representing one or more motions of a carrier; a control unit, coupled to the storage interface, configured to determine an attachment location of an attachable device based on the kinematic model; and generate a device setting based on the attachment location for provisioning the attachable device.