Telecom Italia

Cselt-Centro Studi E Laboratori Telecomunicazioni S.p.a.

Gianmario Bollano

Donato Ettorre

Maurizio Fodrini

Maura Turolla

Marco Gandini

Alessandro Torielli

Pierangelo Garino

Andrea Finotello

Mauro Marchisio

Rodrigo Pousas Navarro

Antonio Esiliato

Davide Spinnato

Fabio Bellifemine

Frederich Mombers

Marco Mattavelli

Martin Gumm

Stephanie Dogimont

Didier Nicoulaz

Donalto Ettorre

A method for producing 3D multi-view visual contents including capturing a visual scene from at least one first point of view for generating a first bidimensional image of the scene and a corresponding first depth map indicative of a distance of different parts of the scene from the first point of view. The method further includes capturing the visual scene from at least one second point of view for generating a second bidimensional image; processing the first bidimensional image to derive at least one predicted second bidimensional image predicting the visual scene captured from the at least one second point of view; deriving at least one predicted second depth map predictive of a distance of different parts of the scene from the at least one second point of view by processing the first depth map, the at least one predicted second bidimensional image and the second bidimensional image.

Method and system for producing multi-view 3D visual contents

An automated emotional recognition system is adapted to determine emotional states of a speaker based on the analysis of a speech signal. The emotional recognition system includes at least one server function and at least one client function in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker. The at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom a set of speech features indicative of the emotional state of the speaker. The emotional state recognition system further includes at least one emotional state decider adapted to determine the emotional state of the speaker exploiting the set of speech features based on a decision model. The server function includes at least a decision model trainer adapted to update the selected decision model according to the speech signal. The decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable based on a context of use of the recognition system.

Customizable method and system for emotional recognition

A method for compressing data, the data being represented by an input vector having Q features, wherein Q is an integer higher than 1, including the steps of 1) providing a vector codebook of sub-sets of indexed Q-feature reference vectors and threshold values associated with the sub-sets for a prefixed feature; 2) identifying a sub-set of reference vectors among the sub-sets by progressively comparing the value of a feature of the input vector which corresponds to the prefixed feature, with the threshold values associated with the sub-sets; and 3) identifying the reference vector which, within the sub-set identified in step 2), provides the lowest distortion with respect to the input vector.

Method for generating a vector codebook, method and device for compressing data, and distributed speech recognition system

A filter such as a Wiener filter for noise reduction in a signal, such as a speech signal, affected by background noise includes a circuit for determining values of an update function relating new value of estimated noise power to a previous value of estimated noise power, the update function being a function of said previous estimated noise power and a mean input power spectral density. The circuit includes a look-up table having values for the update function stored therein with the previous value of estimated noise power and the mean input power spectral density as a first and a second search entry, respectively. These search entries are entered via an input module and exploited by search circuitry associated with the look-up table for selectively searching values for the update function in the look-up table. The search is preferably carried out on the basis of an index computed starting from said first and second search entries.

Method and circuit for noise estimation, related filter, terminal and communication network using same, and computer program product therefor

The present invention relates to a modulefor generating integrated decoding circuits for use, in particular, in turbo devices, to the method for defining the characteristics of and generating convolutional decoding circuits, and to the circuit that can be obtained with said moduleThe moduleis parametric and, thanks to this feature, makes it possible to generate decoding circuits having different performance characteristics which are such that they can be used in turbo devices employing different decoding modes and different architectures. In addition, the modulemakes it possible to generate decoding circuits whose distinguishing feature is that they can manage a plurality of generator polynomials selectively and can thus also be used in asymmetrical turbo devices.

Module for generating circuits for decoding convolutional codes, related method and circuit

Circuit for motion estimation in digitized video sequence encoders

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Turin, Italy

Gianmario Bollano