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 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 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 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: 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 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: 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: Method, system and computer program for real time synchronizing an audio file and a video file in a multimedia device. The present invention determines the optimum alignment path between the audio signal of the audio file and the audio track signal of the video file, starting from an initial path and performing a post-alignment processing to improve the user satisfaction when playing.