Abstract: A method for tag-based search includes capturing an image, extracting a tag from the image, identifying a location associated with the captured image, and querying stored content for information that matches the location and the tag. Local storage is checked for the information first, and remote storage may be checked subsequently. Any located information may be used to augment the image. Information located in the remote storage may be saved in the local storage until it reaches a certain age, until it fails to be accessed for a threshold period of time, or until the location moves outside a threshold radius associated with a location of the information located in the remote storage.

Abstract: A method for tag-based search includes capturing an image, extracting a tag from the image, identifying a location associated with the captured image, and querying stored content for information that matches the location and the tag. Local storage is checked for the information first, and remote storage may be checked subsequently. Any located information may be used to augment the image. Information located in the remote storage may be saved in the local storage until it reaches a certain age, until it fails to be accessed for a threshold period of time, or until the location moves outside a threshold radius associated with a location of the information located in the remote storage.

Abstract: Systems and methods are provided for automatically adjusting content composition rules based on evaluation of user feedback information obtained through a haptic interface. For example, a method includes accessing user feedback information collected by a haptic interface executing on a computing device, wherein the user feedback information comprises information indicative of a user's reaction towards digital content rendered by the computing device. The digital content includes content that is automatically generated using content composition rules. The method further includes evaluating a quality of the digital content based on the user feedback information, generating an evaluation report that includes information regarding the quality of the digital content, and adjusting one or more content composition rules based on the evaluation report.

Abstract: Systems and methods are provided for evaluating the quality of automatically composed digital content based on non-intentional user feedback obtained through a haptic interface. For example, a method includes accessing non-intentional user feedback collected by a haptic interface executing on a computing device, wherein the non-intentional user feedback comprises information regarding user interaction with elements of digital content rendered by the computing device. The digital content is content that is automatically generated using content generation rules. The method further includes evaluating a quality of the digital content based on the non-intentional user feedback, and generating an evaluation report that includes information regarding the quality of the digital content.

Abstract: Systems and methods are provided for evaluating the quality of automatically composed digital content based on intentional user feedback obtained through a haptic interface. For example, a method includes accessing intentional user feedback collected by a haptic interface executing on a computing device, wherein the intentional user feedback provides an indication as to a user's reaction toward digital content that the user interacts with on the computing device. The digital content includes content that is automatically generated using content generation rules. The method further includes evaluating a quality of the digital content based on the intentional user feedback, and generating an evaluation report that includes information providing an evaluation of the quality of the digital content.

Abstract: A method of evaluating digital content displayed on an electronic tabletop device includes receiving a plurality of non-intentional signals generated in response to a plurality of users interacting with at least one of the digital content displayed on the electronic tabletop device and each other, classifying the plurality of non-intentional signals into a first set of data including user-specific non-intentional signals and a second set of data including collaborative non-intentional signals, correlating the plurality of non-intentional signals to user profiles corresponding to the plurality of users, and generating an evaluation report including information indicating a collaborative quality of the digital content based on the plurality of non-intentional signals and a correlation of the plurality of non-intentional signals to the user profiles.

Abstract: The present invention relates to a method which aims to improve data security in mobile payment transactions. To achieve this goal, we propose a highly secure method for transactions validation through video encryption and a new view of secrecy based on the combination of encrypted video (102, 203, 305) and a transparent safe card (110, 202, 307) with unique secret pattern (111, 308). This safe card (110, 202, 307) is shown as a translucent or transparent device capable of acting as “layer” or decoding mask using visual cryptography techniques. Additionally, it is proposed in one embodiment of the present invention a method for encryption of unencrypted video (602) through a frame analysis module (601) and a frame recomposition module (612).

Abstract: An RF tag with integrated anti-theft device allows a user, having a mobile device, to perform a secure purchasing application where the user uses the camera of the mobile device to read a barcode of a product and an RF tag with an integrated anti-theft device. The user can select the product he wishes to buy, check the information concerning that product, purchase the product, and disable the anti-theft device to go through a security portal without triggering the alarm.

Abstract: A method for providing health-related recommendations based on previous end-user travel reports including: receiving data indicative of a current location or destination of a user; calculating correlation probabilities between a plurality physical conditions reported by a plurality of users in the current location or destination versus parameters of health context information of the current location or destination versus parameters of the user's profile; and providing the user with a personalized health-related recommendation based on the calculated correlation probabilities.

Abstract: A method for tag-based search includes capturing an image, extracting a tag from the image, identifying a location associated with the captured image, and querying stored content for information that matches the location and the tag. Local storage is checked for the information first, and remote storage may be checked subsequently. Any located information may be used to augment the image. Information located in the remote storage may be saved in the local storage until it reaches a certain age, until it fails to be accessed for a threshold period of time, or until the location moves outside a threshold radius associated with a location of the information located in the remote storage.

Abstract: A method for tag-based search includes capturing an image, extracting a tag from the image, identifying a location associated with the captured image, and querying stored content for information that matches the location and the tag. Local storage is checked for the information first, and remote storage may be checked subsequently. Any located information may be used to augment the image. Information located in the remote storage may be saved in the local storage until it reaches a certain age, until it fails to be accessed for a threshold period of time, or until the location moves outside a threshold radius associated with a location of the information located in the remote storage.