Abstract: Apparatus and process for controlling a computer process with gestures and a handheld pointing device. The computer system employing the pointing device to determine what component a user wants to control and what control action is desired.

Abstract: A method, device and system for the determination of the attention level of an user of a communication device. The proposed invention detects situations when users are more likely to pay attention to content presented to it (e.g. when they combat boredom) or in other words, situations when users are more receptive to content, without requiring the user to perform certain specific activities or requiring any interventions or specific sensors. In order to do so, user data such as demographics, user context, and usage patterns of the user's communication device (e.g. a mobile phone) is collected.

Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Abstract: A computer-implemented method, a system and computer programs products for assessing the credit worthiness of a user, the method comprising: collecting, by a data collector, information about communications conducted by users' of a communication network, the collected information at least comprising Call Detail Records including calls; analyzing, by a computing system, during a specific time frame, the collected information regarding a particular user including communications' started by the particular user and/or communications' received by the user, and determining, data variables from the analyzed information, the data variables including at least communication patterns; and computing, by the computing system, both a default risk score and a fraud risk score of the user by using the determined data variables.

Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Abstract: A framework is provided for obtaining window information. The window information can be applied to different assignment models to assign windows to different groups. A group may correspond to a task being performed by a user. The window information can be semantic or temporal information captured as window events and properties of windows whose events are captured. Temporal information can be information about switches between windows. Semantic information can be window titles. Temporal information, semantic information, or both, can be used to assign windows to groups.

Abstract: Apparatus and process for controlling a computer process with gestures and a handheld pointing device. The computer system employing the pointing device to determine what component a user wants to control and what control action is desired.

Abstract: A method for predicting reactiveness of MMI users comprises: reacting to a message with a mobile user device which is a receiver of the message, collecting ground-truth data (11) for a machine-learning classifier, extracting from the collected ground-truth data (11) a list of features (12) which determines a current or past context of the user, and each feature having a feature's prediction strength calculated as fraction of classes misclassified when removing the feature; selecting the list of features (12) based on each feature's prediction strength; defining a plurality of reactiveness classes (101); both the extracted list of features (12) and the reactiveness classes (101) being input to the machine-learning classifier; classifying (102) the user according to the defined reactiveness classes (101); predicting the user's reactiveness for the given current or past context of the user by determining the most likely reactiveness class via the machine-learning classifier.

Abstract: A method for classifying a video regarding a subjective characteristic, the method comprising: measuring a plurality of basic features (11) per frame thus obtaining a plurality of basic features measurements; creating a plurality of second-level features by pooling (12) said basic features (11) measurements using a plurality of statistics of said basic features measurements in a determined period of time of footage; creating a plurality of video features by pooling (13) said plurality of second-level features using a plurality of statistics of said second level features along the duration of the video; choosing at least one video feature of said plurality of video features for classifying a video regarding a subjective characteristic.

Abstract: A method and system for defining a route between a first user and a second user having respective mobile devices. A communication is established between a backend server (13) and a plurality of mobile devices (11) belonging to a respective user of a cellular phone network (12).

Abstract: A method that includes classifying photographs into categories; generating computational models of image aesthetics, each computational model of image aesthetics associated to one different category of the categories; extracting a plurality of features from a photograph, the plurality of features including simplicity features, global features computed in the whole image and/or low-level features in contrasting regions of an image of the photograph, the contrasting regions being partitions of the image obtained by applying an image segmentation algorithm based on feature contrast to the photograph; and applying a computational model of image aesthetics to at least part of the plurality of features extracted from the photograph, the computational model applied according to the category of the photograph, in order to assess aesthetic quality of the photograph.

Abstract: A method for classifying an image regarding a certain subjective characteristic, the method comprising: identifying the relevant and accent regions within said image; obtaining a plurality of measurements of image composition features in said image, wherein said image composition features comprises at least one of the following: a feature based on the number of relevant and/or accent regions in said image, a feature based on the homogeneity in the layout of the relevant regions, a feature based on the correlation with the position of said relevant regions within the frame; choosing at least one measurement of said plurality of measurements of image composition features for rating said image on a scale regarding said certain subjective characteristic.

Abstract: Apparatus and process for controlling a computer process with gestures and a handheld pointing device. The computer system employing the pointing device to determine what component a user wants to control and what control action is desired.

Abstract: Method for an automatic identification of urban dense areas from cell phones records, by using a computing device that receives as inputs: a geographical region R, a time period ?t for which dense areas in the region R need to be computed, a set of BTSs in the region R, a set of CDRs generated by individuals during the time period ?t using the set of BTSs of the region R, a coverage C and a granularity ?.

Abstract: The present disclosure relates generally to methods for characterizing communication networks, and more particularly to methods of characterizing the propagation of information throughout communications in such networks.

Abstract: A method to assess aesthetic quality of photographs, including classifying photographs into categories; generating computational models of image aesthetics, each computational model of image aesthetics associated to one different category of the categories; extracting a plurality of features from a photograph, the plurality of features being simplicity features, global features computed in the whole image and/or low-level features in contrasting regions of an image of said photograph. The contrasting regions are partitions of the image obtained by applying an image segmentation algorithm based on feature contrast to the photograph. The method also including applying a computational model of image aesthetics to at least part of the plurality of features extracted from said photograph, the computational model applied according to the category of the photograph, in order to assess aesthetic quality of the photograph.

Abstract: A method for classifying a video regarding a subjective characteristic, the method comprising: measuring a plurality of basic features (11) per frame thus obtaining a plurality of basic features measurements; creating a plurality of second-level features by pooling (12) said basic features (11) measurements using a plurality of statistics of said basic features measurements in a determined period of time of footage; creating a plurality of video features by pooling (13) said plurality of second-level features using a plurality of statistics of said second level features along the duration of the video; choosing at least one video feature of said plurality of video features for classifying a video regarding a subjective characteristic.

Abstract: The invention refers to a method for encouraging a user to comply with his/her medication regimen, comprising the steps of: registering a group of parameters related to a medication intake of said user, which parameters include a time parameter and a user identifier; sending said group of parameters related to a medication intake of the user to a server (40); computing a time difference between said time parameter received and a time parameter associated to said user identifier previously recorded in the server; assigning said user with a pre-established number of points depending on the value of said time difference; and providing said user with information regarding his/her points obtained for the medication intake, including a summary of their medication compliance status using appealing personal awareness. providing symbolic rewards (e.g.

Abstract: A method and system for defining a route between a first user and a second user having respective mobile devices. A communication is established between a backend server (13) and a plurality of mobile devices (11) belonging to a respective user of a cellular phone network (12).