Patents by Inventor Danilo Pietro Pau

Danilo Pietro Pau has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10489681
    Abstract: Digital image processing circuitry clusters a set of images into a set of first clusters of images and a set of unclustered images. The set of first clusters are merged, generating a set of second clusters of images. Images in the set of unclustered images are assigned to one of a cluster of the set of second clusters of images and an outlier image cluster. The clustered images may be partitioned into subclusters based on detection of objects in the images.
    Type: Grant
    Filed: December 3, 2015
    Date of Patent: November 26, 2019
    Assignee: STMICROELECTRONICS S.R.L.
    Inventors: Danilo Pietro Pau, Emanuele Plebani, Luca Paliotto
  • Patent number: 10445613
    Abstract: First and second video frames in a flow of digital video frames are encoded by extracting respective sets of keypoints and descriptors, each descriptor including a plurality of orientation histograms regarding a patch of pixels centered on the respective keypoint. Once a pair of linked descriptors has been identified, one for each frame, which have a minimum distance from among the distances between any one of the descriptors of the first frame and any one of the descriptors of the second frame, the differences of the histograms of the descriptors linked in the pair are calculated, and the descriptors linked in the pair are encoded as the set including one of the linked descriptors and the histogram differences by subjecting the histogram differences to a thesholding setting at zero all the differences below a certain threshold, to quantization, and to run-length encoding.
    Type: Grant
    Filed: October 11, 2013
    Date of Patent: October 15, 2019
    Assignee: STMicroelectronics S.r.l.
    Inventor: Danilo Pietro Pau
  • Patent number: 10330779
    Abstract: A laserbeam light source is controlled to avoid light sensitive regions around the laserbeam light source. One or more laserlight-sensitive regions are identified based on images of an area around the laserbeam light source, and indications of positions corresponding to the laserlight-sensitive regions are generated. The laserbeam light source is controlled based on the indications of the positions. The laserbeam light source may be controlled to deflect a laserlight beam away from laserlight-sensitive regions, to reduce an intensity of a laserlight beam directed towards a laserlight-sensitive region, etc. Motion estimation may be used to generate the indications of positions corresponding to the laserlight-sensitive regions.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: June 25, 2019
    Assignee: STMICROELECTRONICS S.r.l.
    Inventors: Danilo Pietro Pau, Emanuele Plebani
  • Publication number: 20190147338
    Abstract: A neural network classifies an input signal. For example, an accelerometer signal may be classified to detect human activity. In a first convolutional layer, two-valued weights are applied to the input signal. In a first two-valued function layer coupled at input to an output of the first convolutional layer, a two-valued function is applied. In a second convolutional layer coupled at input to an output of the first two-valued functional layer, weights of the second convolutional layer are applied. In a fully-connected layer coupled at input to an output of the second convolutional layer, two-valued weights of the fully connected layer are applied. In a second two-valued function layer coupled at input to an output of the fully connected layer, a two-valued function of the second two-valued function layer is applied. A classifier classifies the input signal based on an output signal of second two-valued function layer.
    Type: Application
    Filed: November 13, 2018
    Publication date: May 16, 2019
    Inventors: Danilo Pietro PAU, Emanuele PLEBANI, Fabio Giuseppe DE AMBROGGI, Floriana GUIDO, Angelo BOSCO
  • Publication number: 20180322393
    Abstract: A neural network includes one layer of neurons including neurons having neuron connections to neurons in the layer and input connections to a network input. The neuron connections and the input connections have respective neuron connection weights and input connection weights. The neurons have neuron responses set by an activation function with activation values and include activation function computing circuits configured for computing current activation values of the activation function as a function of previous activation values of the activation function and current network input values.
    Type: Application
    Filed: April 27, 2018
    Publication date: November 8, 2018
    Inventors: Danilo Pietro PAU, Marco PIASTRA, Luca CARCANO
  • Publication number: 20180246188
    Abstract: A laserbeam light source is controlled to avoid light sensitive regions around the laserbeam light source. One or more laserlight-sensitive regions are identified based on images of an area around the laserbeam light source, and indications of positions corresponding to the laserlight-sensitive regions are generated. The laserbeam light source is controlled based on the indications of the positions. The laserbeam light source may be controlled to deflect a laserlight beam away from laserlight-sensitive regions, to reduce an intensity of a laserlight beam directed towards a laserlight-sensitive region, etc. Motion estimation may be used to generate the indications of positions corresponding to the laserlight-sensitive regions.
    Type: Application
    Filed: August 31, 2017
    Publication date: August 30, 2018
    Inventors: Danilo Pietro Pau, Emanuele PLEBANI
  • Publication number: 20180247194
    Abstract: A classification device receives sensor data from a set of sensors and generates, using a context classifier having a set of classifier model parameters, a set of raw predictions based on the received sensor data. Temporal filtering and heuristic filtering are applied to the raw predictions, producing filtered predictions. A prediction error is generated from the filtered predictions, and model parameters of the set of classifier model parameters are updated based on said prediction error. The classification device may be a wearable device.
    Type: Application
    Filed: February 23, 2018
    Publication date: August 30, 2018
    Inventors: Emanuele PLEBANI, Danilo Pietro PAU
  • Patent number: 9986240
    Abstract: In an embodiment, digital video frames in a flow are subjected to a method of extraction of features including the operations of: extracting from the video frames respective sequences of pairs of keypoints/descriptors limiting to a threshold value the number of pairs extracted for each frame; sending the sequences extracted from an extractor module to a server for processing with a bitrate value variable in time; receiving the aforesaid bitrate value variable in time at the extractor as target bitrate for extraction; and limiting the number of pairs extracted by the extractor to a threshold value variable in time as a function of the target bitrate.
    Type: Grant
    Filed: December 30, 2016
    Date of Patent: May 29, 2018
    Assignee: STMicroelectronics S.r.l.
    Inventor: Danilo Pietro Pau
  • Publication number: 20180089586
    Abstract: Human activities are classified based on activity-related data and an activity-classification model trained using a classification-equalized training data set. A classification signal is generated based on the classifications. The classification-equalized training data set, may, for example, includes a first class having a first sequence length and a number of samples N, and one or more additional classes each having a respective sequence length tj and a respective number of samples Nj determined based on the number of samples N of the first class. For example, a respective sequence length tj and a respective number of samples Nj which satisfy: (i) Nj>N, for sequence length tj; and (ii) Nj<N, for tj?1. The activity-related data may include one or more of acceleration data, orientation data, position data, and physiological data.
    Type: Application
    Filed: September 29, 2016
    Publication date: March 29, 2018
    Inventors: Danilo Pietro PAU, Emanuele PLEBANI
  • Patent number: 9910864
    Abstract: Searches performed in a data base using image descriptors of query images are managed via a mobile communication device, such as a smartphone, a tablet, etc., by: extracting at the mobile device grayscale and color descriptors of query images, sending the grayscale descriptors as compressed grayscale descriptors of query images from the mobile device to a server for searching in the data base, receiving at the mobile device results of the search, using color descriptors of query images in disambiguating the results by: i) sending the color descriptors as compressed color descriptors of query images from the mobile device to the server and receiving at the mobile device disambiguated search results from the server, or ii) receiving at the mobile device non-disambiguated search results from the server and disambiguating the search results by means of the color descriptors extracted at the mobile device to produce disambiguated search results.
    Type: Grant
    Filed: January 21, 2015
    Date of Patent: March 6, 2018
    Assignee: STMICROELECTRONICS S.R.L.
    Inventors: Danilo Pietro Pau, Davide Mazzini, Raimondo Schettini, Simone Bianco
  • Patent number: 9830527
    Abstract: An image processing system includes a first processor that acquires frames of image data. For each frame of data, the first processor generates a Gaussian pyramid for the frame of data, extract histogram of oriented gradient (HOG) descriptors for each level of the Gaussian pyramid, compresses the HOG descriptors, and sends the compressed HOG descriptors. A second processor is coupled to the first processor and is configured to receive the compressed HOG descriptors, aggregate the compressed HOG descriptors into windows, compare data of each window to at least one stored model, and generate output based upon the comparison.
    Type: Grant
    Filed: January 9, 2015
    Date of Patent: November 28, 2017
    Assignee: STMICROELECTRONICS S.R.L.
    Inventors: Alberto Margari, Danilo Pietro Pau, Raimondo Schettini
  • Publication number: 20170111638
    Abstract: In an embodiment, digital video frames in a flow are subjected to a method of extraction of features including the operations of: extracting from the video frames respective sequences of pairs of keypoints/descriptors limiting to a threshold value the number of pairs extracted for each frame; sending the sequences extracted from an extractor module to a server for processing with a bitrate value variable in time; receiving the aforesaid bitrate value variable in time at the extractor as target bitrate for extraction; and limiting the number of pairs extracted by the extractor to a threshold value variable in time as a function of the target bitrate.
    Type: Application
    Filed: December 30, 2016
    Publication date: April 20, 2017
    Inventor: Danilo Pietro Pau
  • Patent number: 9600744
    Abstract: Image-processing apparatus and methods to adaptively vary an interest point threshold value and control a number of interest points identified in an image frame are described. Sub-regions of an image frame may be processed in a sequence, and an interest point threshold value calculated for each sub-region. The calculated value of the interest point threshold may depend upon pre-selected values and values determined from the processing of one or more prior sub-regions. By using adaptive thresholding, a number of interest points detected for each frame in a sequence of image frames may remain substantially constant, even though objects within the frames may vary appreciably.
    Type: Grant
    Filed: April 24, 2013
    Date of Patent: March 21, 2017
    Assignee: STMicroelectronics S.r.l.
    Inventors: Danilo Pietro Pau, Mirko Falchetto
  • Publication number: 20170060904
    Abstract: Local descriptors are extracted from digital image information and digital depth information related to digital images. The local descriptors convey appearance description information and shape description information related to the digital images. Global representations of the one or more digital images are generated based on the extracted local descriptors, and are hashed. Visual search queries are generated based on the hashed global representations. The visual search queries include fused appearance description information and shape description information conveyed in the local descriptors. The fusing may occur before the global representations are generated, before the hashing or after the hashing.
    Type: Application
    Filed: March 15, 2016
    Publication date: March 2, 2017
    Inventors: Danilo Pietro Pau, Alioscia Petrelli, Luigi Di Stefano
  • Patent number: 9571398
    Abstract: In an embodiment, digital video frames in a flow are subjected to a method of extraction of features including the operations of: extracting from the video frames respective sequences of pairs of keypoints/descriptors limiting to a threshold value the number of pairs extracted for each frame; sending the sequences extracted from an extractor module to a server for processing with a bitrate value variable in time; receiving the aforesaid bitrate value variable in time at the extractor as target bitrate for extraction; and limiting the number of pairs extracted by the extractor to a threshold value variable in time as a function of the target bitrate.
    Type: Grant
    Filed: November 14, 2013
    Date of Patent: February 14, 2017
    Assignee: STMICROELECTRONICS S.R.L.
    Inventor: Danilo Pietro Pau
  • Patent number: 9569695
    Abstract: Image-processing apparatus and methods to adaptively control a size and/or location of a visual search window used for feature matching in a machine-vision system are described. A search window controller may receive motion vector data and image recognition rate data, and compute a search window size and/or search window location based on the received data. The computed search window size may be a portion of an image frame. The motion vector data and image recognition rate data may be computed from one or more images in a video image sequence. By adaptively controlling search window size and location, an appreciable reduction in data processing burden for feature matching may be achieved.
    Type: Grant
    Filed: April 24, 2013
    Date of Patent: February 14, 2017
    Assignee: STMicroelectronics S.r.l.
    Inventors: Danilo Pietro Pau, Paolo Pasteris, Mirko Falchetto
  • Patent number: 9501713
    Abstract: Compact descriptors of digital images are produced by detecting interest points representative of the digital images and selecting out of the interest points key points for producing e.g. local and global compact descriptors of the images. The digital images are decomposed into blocks by computing an energy (variance) for each said block and then subjecting the blocks to culling by rejecting those blocks having an energy failing to pass an energy threshold. The interest points are detected only in the blocks resulting from culling, and the key points for producing the compact descriptors are selected out of the interest points thus detected, possibly by using different selection thresholds for local and global compact descriptors, respectively. The number of key points for producing the compact descriptors may be varied e.g. by adaptively varying the number of the interest points detected in the blocks resulting from culling.
    Type: Grant
    Filed: October 16, 2014
    Date of Patent: November 22, 2016
    Assignee: STMicroelectronics S.r.l.
    Inventor: Danilo Pietro Pau
  • Publication number: 20160307068
    Abstract: Digital image processing circuitry clusters a set of images into a set of first clusters of images and a set of unclustered images. The set of first clusters are merged, generating a set of second clusters of images. Images in the set of unclustered images are assigned to one of a cluster of the set of second clusters of images and an outlier image cluster. The clustered images may be partitioned into subclusters based on detection of objects in the images.
    Type: Application
    Filed: December 3, 2015
    Publication date: October 20, 2016
    Inventors: Danilo Pietro Pau, Emanuele Plebani, Luca Paliotto
  • Publication number: 20160203385
    Abstract: An image processing system includes a first processor that acquires frames of image data. For each frame of data, the first processor generates a Gaussian pyramid for the frame of data, extract histogram of oriented gradient (HOG) descriptors for each level of the Gaussian pyramid, compresses the HOG descriptors, and sends the compressed HOG descriptors. A second processor is coupled to the first processor and is configured to receive the compressed HOG descriptors, aggregate the compressed HOG descriptors into windows, compare data of each window to at least one stored model, and generate output based upon the comparison.
    Type: Application
    Filed: January 9, 2015
    Publication date: July 14, 2016
    Applicants: STMICROELECTRONICS S.R.L., UNIVERSITA DEGLI STUDI DI MILANO - BICOCCA
    Inventors: Alberto Margari, Danilo Pietro Pau, Raimondo Schettini
  • Patent number: 9317898
    Abstract: An embodiment of a method for computing pyramids of input images (I) in a transformed domain, e.g., for search and retrieval purposes, includes:—arranging input images in blocks to produce input image blocks,—subjecting the input image blocks to block processing including: transform into a transformed domain, subjecting the image blocks transformed into a transformed domain to filtering, subjecting the image blocks transformed into a transformed domain and filtered to inverse transform implementing an inverse transform with respect to the previous transform into a transformed domain, thus producing a set of processed blocks. The set of processed blocks, which is recomposeable to an image pyramid, may be used, e.g., in detecting extrema points in images in the pyramid, extracting a patch of given size around the extrema points detected, and processing the patch to obtain local descriptors such as SIFT descriptors of a feature.
    Type: Grant
    Filed: January 15, 2014
    Date of Patent: April 19, 2016
    Assignee: STMicroelectronics S.R.L.
    Inventors: Danilo Pietro Pau, Arcangelo Ranieri Bruna, Ettore Napoli, Giorgio Lopez