Abstract:
A method for composing electronic mail messages in an electronic mail program or service includes (a) activating a merge function for merging two or more existing messages, including creating an empty merge message; (b) selecting a first message of the two or more existing messages; (c) automatic entry of the contents of at least a part of the text and subject fields of the selected first message into the text and subject fields of the merge message, as well as of at least one of the addresses in the sender's address field (“From:”) and the recipients' address fields (“To:”, “Cc:”, “Bcc:”) of the first message into at least one of the recipients' address fields (“To:”, “Cc:”, “Bcc:”) of the merge message; (d) selecting at least a second one of the two or more existing messages; (e) automatic entry of the contents of at least a part of the text and subject fields of the selected second message into the text and subject fields of the merge message, as well as of at least one of the sender's address (“From:”) and the recipients' addresses (“To:”, “Cc:”, “Bcc:”) of the at least one second message into at least one of the recipients' address fields of the merge message; (f) automatic entry of any attachments of the first message and at least one second message into the attachments field of the merge message, and (g) storing in a non-volatile manner, discarding, or sending the merge message thus created.
Abstract:
Methods and apparatuses for encoding and/or decoding digital images or video streams, wherein the encoding apparatus includes a processor configured for reading a portion of the image (f), computing difference values between pixel values of the image, quantizing such pixel difference values for obtaining a quantized weight map (W), computing an edge map (f′) composed by elements (f′i) indicating whether a corresponding pixel of the portion of the image is an edge or not on the basis of the quantized weight map, determining a reconstructed weight map (W′) on the basis of the edge map (f′), determining a graph transform matrix (U) on the basis of the reconstructed weight map (W′), computing transform coefficients (f̂) on the basis of the graph transform matrix (U) and said portion of the image (f), transmitting the computed transform coefficients (f̂) and the edge map (f′).
Abstract:
A method and a user equipment (105) includes a communication device adapted to attempt to access a mobile telecommunications network (107) and to receive from the network (107) information about the presence of access restrictions to the network (107); the equipment (105) also includes an access management module (106) configured for determining, in the presence of access restrictions to the network (107), a wait time (Tbarring) that must elapse, at the least, between successive verifications of the possibility of accessing the network (107), wherein the wait time (Tbarring) is determined at least on the basis of the result of at least one previous attempt to access the network (107) by the user equipment (105).
Abstract:
A method for edge correction of images of a three-dimensional video content, the video content including at least one original view image and at least one depth or disparity map, the method including the following steps: detecting edges in at least one original view image for obtaining original edges; warping the original edges according to the depth or disparity map; detecting a set of warped edges altered by the warping process; and correcting the altered edges for obtaining corrected edges.
Abstract:
The present invention relates to a method for pruning a neural network comprising a plurality of neurons, said method comprising: an initialization phase, wherein input information is fetched comprising at least parameters ({wni,bni}) related to said neural network and a dataset (D) representative of a task that said neural network has to deal with, wherein said parameters ({wni,bni}) comprising a weights vector (wni) and/or a bias (bni) related to at least one neuron of said plurality of neurons; a regularization phase, wherein said neural network is trained according to a training algorithm by using said dataset (D); a thresholding phase, wherein an element (wnij) of said weights vector (wni) is put at zero when its absolute value is below a given threshold (T).
Abstract:
Methods and apparatuses for encoding and/or decoding digital images or video streams, wherein the encoding apparatus includes a processor configured for reading a portion of the image (f), computing difference values between pixel values of the image, quantizing such pixel difference values for obtaining a quantized weight map (W), computing an edge map (f′) composed by elements (f′i) indicating whether a corresponding pixel of the portion of the image is an edge or not on the basis of the quantized weight map, determining a reconstructed weight map (W′) on the basis of the edge map (f′), determining a graph transform matrix (U) on the basis of the reconstructed weight map (W′), computing transform coefficients (f{circumflex over ( )}) on the basis of the graph transform matrix (U) and said portion of the image (f), transmitting the computed transform coefficients (f{circumflex over ( )}) and the edge map (f′).
Abstract:
A method for managing the supply of electric energy to a community of users (UP1, UP2, . . . UPN) includes determining a supply, to each user of the community of users (UP1, UP2, . . . UPN), of a combination of electric energy coming from at least one system for producing energy from a local source (100) and from the at least one system for supplying energy managed by an external distributor (110), wherein the combination of electric energy can be determined specifically for each user; adjusting, for each user of the community of users, the supply of the fraction of electric energy coming from the local source (100), as a function of the electric energy coming from the local source (100) to be distributed to the other users of the community of users (UP1, UP2, . . . UPN), so as to give priority to taking electric energy directly from the system for producing energy from a local source (100) over the at least one system for supplying electric energy managed by an external distributor (110).
Abstract:
A method for encoding digital images or video streams, includes a receiving phase, wherein a portion of an image is received; a graph weights prediction phase, wherein the elements of a weights matrix associated to the graph related to the blocks of the image (predicted blocks) are predicted on the basis of reconstructed, de-quantized and inverse-transformed pixel values of at least one previously coded block (predictor block) of the image, the weights matrix being a matrix comprising elements denoting the level of similarity between a pair of pixels composing said image, a graph transform computation phase, wherein the graph Fourier transform of the blocks of the image is performed, obtaining for the blocks a set of coefficients determined on the basis of the predicted weights; a coefficients quantization phase, wherein the coefficients are quantized an output phase wherein a bitstream comprising the transformed and quantized coefficients is transmitted and/or stored.
Abstract:
A system for localizing an object of interest in a monitored space includes a plurality of capacitive sensors for sensing changes in the status of a space, adapted to electrically interact in a contactless way with a ground surface so as to provide a capacitance varying on the basis of such changes, and adapted to detect at least a time evolution of the capacitance and to produce a capacitance-depending signal, a filtering unit configured for reducing the noise level in the time evolution of such capacitance by filtering the capacitance-depending signal provided by the capacitive sensors, so that corresponding filtered signals are produced, and a central device in signal communication with the capacitive sensors. The central device is configured for acquiring the filtered signals of each capacitive sensor, and for determining the position of the object of interest inside the space by inferring at least a distance of the object on the basis of the filtered signals acquired from at least one of the sensors detecting the object, and by combining the at least a distance with positional data defining the positions of the plurality of capacitive sensors in the monitored space.
Abstract:
A method for transforming an image descriptor, based on a gradient histogram (h) having a plurality of histogram bins (hi), into a transformed gradient histogram descriptor (v) including a set of values (vj), wherein it is provided the step of applying at least one criterium for calculating the set of values (vj), at least one criterium having a location criterium of the histogram bins (hi). The invention also relates to an image processing device suitable for carrying out the method.