Abstract: The present disclosure relates to an apparatus for image recognition. The apparatus comprises a machine learning network configured to map first and second input image data to either a first or a second predefined target probability distribution, depending on whether the first and second input image data correspond to matching or non-matching images, wherein an output of the machine learning network matching the first target probability distribution is indicative of matching images and an output of the machine learning network matching the second target probability distribution is indicative of non-matching images. The present disclosure also relates to a method for training the apparatus for image recognition.

Abstract: A method and an apparatus are provided for encoding and/or decoding digital images or video streams. The encoding apparatus includes a processor configured for reading at least a portion of an image (f), determining a rotation angle (?) on the basis of the portion of the image (f), determining rotated transform matrix (V?) which is the result of a rotation of at least one basis vector of a Discrete Cosine Transform matrix (V) by the rotation angle (?), computing transformed coefficients (f{circumflex over (?)}) on the basis of the pixel values contained in the portion of the image (f) and the rotated transform information (V?), outputting the transformed coefficients (f{circumflex over (?)}) to the destination.

Abstract: A device, a user equipment, and methods for registering and authenticating the user equipment are provided, wherein the user equipment includes an image sensor, communication components for communicating with the device, control and processing components configured for acquiring at least one image by way of the image sensor, generating an authentication sensor fingerprint on the basis of the at least one acquired image, coding at least one portion of the authentication sensor fingerprint by way of a random projection algorithm, so as to generate at least one compressed portion (W?) of the authentication sensor fingerprint, transmitting, through the communication components, the at least one compressed portion (W?) to the device.

Abstract: A method and an apparatus for encoding and/or decoding digital images or video streams are provided, wherein the encoding apparatus includes a processor configured for reading at least a portion of the image, segmenting the portion of the image in order to obtain groups of pixels identified by borders information and containing at least two pixels having one or more homogeneous characteristics, computing, for each group of pixels, a weight map on the basis of the borders information associated to the group of pixels, a graph transform matrix on the basis of the weight map, and transform coefficients on the basis of the graph transform matrix (U) and of the pixels contained in the group of pixels.

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 and a device for searching for images in memory containing at least one or more images and, for each image, at least one sensor fingerprint associated with the image and related to the sensor that acquired the image includes a reading phase, wherein a search sensor fingerprint is read, a compression phase, wherein the search sensor fingerprint and at least one of the sensor fingerprints associated with the images are compressed by using a random projection technique, and a searching phase, wherein the images contained in the memory are either selected or discarded by comparing the sensor fingerprints of the images with the search sensor fingerprint.

Abstract: A device, a user equipment, and methods for registering and authenticating the user equipment are provided, wherein the user equipment includes an image sensor, communication components for communicating with the device, control and processing components configured for acquiring at least one image by way of the image sensor, generating an authentication sensor fingerprint on the basis of the at least one acquired image, coding at least one portion of the authentication sensor fingerprint by way of a random projection algorithm, so as to generate at least one compressed portion (W?) of the authentication sensor fingerprint, transmitting, through the communication components, the at least one compressed portion (W?) to the device.

Abstract: A method and an apparatus are provided for encoding and/or decoding digital images or video streams. The encoding apparatus includes a processor configured for reading at least a portion of an image (f), determining a rotation angle (?) on the basis of the portion of the image (f), determining rotated transform matrix (V?) which is the result of a rotation of at least one basis vector of a Discrete Cosine Transform matrix (V) by the rotation angle (?), computing transformed coefficients (f?) on the basis of the pixel values contained in the portion of the image (f) and the rotated transform information (V?), outputting the transformed coefficients (f?) to the destination.

Abstract: A method for fingerprint matching and camera identification includes reading, through a device, a camera fingerprint extracted from a picture taken by a camera, and calculating a compressed version of the camera fingerprint through a random projections technique.

Abstract: A method and an apparatus for encoding and/or decoding digital images or video streams are provided, wherein the encoding apparatus includes a processor configured for reading at least a portion of the image, segmenting the portion of the image in order to obtain groups of pixels identified by borders information and containing at least two pixels having one or more homogeneous characteristics, computing, for each group of pixels, a weight map on the basis of the borders information associated to the group of pixels, a graph transform matrix on the basis of the weight map, and transform coefficients on the basis of the graph transform matrix (U) and of the pixels contained in the group of pixels.

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?) on the basis of the graph transform matrix (U) and said portion of the image (f), transmitting the computed transform coefficients (f?) and the edge map (f?).

Abstract: A method and a device for searching for images in memory containing at least one or more images and, for each image, at least one sensor fingerprint associated with the image and related to the sensor that acquired the image includes a reading phase, wherein a search sensor fingerprint is read, a compression phase, wherein the search sensor fingerprint and at least one of the sensor fingerprints associated with the images are compressed by using a random projection technique, and a searching phase, wherein the images contained in the memory are either selected or discarded by comparing the sensor fingerprints of the images with the search sensor fingerprint.

Abstract: A method for fingerprint matching and camera identification includes reading, through a device, a camera fingerprint extracted from a picture taken by a camera, and calculating a compressed version of the camera fingerprint through a random projections technique.