Patents by Inventor Gokcen Cilingir

Gokcen Cilingir 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).

  • Publication number: 20200043217
    Abstract: A mechanism is described for facilitating enhanced immersive media pipeline for correction of artifacts and clarity of objects in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to extract semantic data relating to objects in a scene captured through one or more cameras, where the objects include distortions, and form, based on the semantic data, a three-dimensional (3D) model of contents of the scene, where the contents include the objects. The one or more processors are further to encode the 3D model including the contents and the semantic data into an encoded file having encoded contents and encoded semantic data and transmit the encoded file over an immersive media pipeline to facilitate correction of the distortions and rendering the scene including the objects without the distortions.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: GOKCEN CILINGIR, ATSUO KUWAHARA, NARAYAN BISWAL, JAMES HOLLAND, SANG-HEE LEE, JASON TANNER, MAYURESH VARERKAR, KAI XIAO
  • Publication number: 20200043122
    Abstract: Embodiments described herein provide an apparatus comprising a processor to divide a first projection into a plurality of regions, the plurality of regions comprising a plurality of pixels, detect errant visual content in a first region in the plurality of regions, determine a detail frequency rating for the first region, and apply one of a first rendering technique to the first region in the plurality of regions when the detail frequency rating for the first region in the plurality of regions fails to meet a detail frequency threshold or a second rendering technique to the first region in the plurality of regions when the detail frequency rating for the first region in the plurality of regions meets a detail frequency threshold. Other embodiments may be described and claimed.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: KAI XIAO, GOKCEN CILINGIR, JASON TANNER, SANG-HEE LEE, ATSUO KUWAHARA
  • Publication number: 20200045285
    Abstract: A mechanism is described for facilitating adaptive resolution and viewpoint-prediction for immersive media in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to receive viewing positions associated with a user with respect to a display, and analyze relevance of media contents based on the viewing positions, where the media content includes immersive videos of scenes captured by one or more cameras. The one or more processors are further to predict portions of the media contents as relevant portions based on the viewing positions and transmit the relevant portions to be rendered and displayed.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: MAYURESH VARERKAR, STANLEY BARAN, MICHAEL APODACA, PRASOONKUMAR SURTI, ATSUO KUWAHARA, NARAYAN BISWAL, JILL BOYCE, YI-JEN CHIU, GOKCEN CILINGIR, BARNAN DAS, ATUL DIVEKAR, SRIKANTH POTLURI, NILESH SHAH, ARCHIE SHARMA
  • Publication number: 20200045343
    Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to encode surface normals data with point cloud geometry data included in the video bit stream data for reconstruction of objects within the video bit stream data based on the surface normals data and a memory communicatively coupled to the one or more processors.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Jill Boyce, Scott Janus, Itay Kaufman, Archie Sharma, Stanley Baran, Michael Apodaca, Prasoonkumar Surti, Srikanth Potluri, Barnan Das, Hugues Labbe, Jong Dae Oh, Gokcen Cilingir, Maria Bortman, Tzach Ashkenazi, Jonathan Distler, Atul Divekar, Mayuresh M. Varerkar, Narayan Biswal, Nilesh V. Shah, Atsuo Kuwahara, Kai Xiao, Jason Tanner, Jeffrey Tripp
  • Publication number: 20200045348
    Abstract: An apparatus to facilitate processing video bit stream data is disclosed. The apparatus includes one or more processors to decode point cloud data, reconstruct the decoded point cloud data and fill one or more holes in reconstructed point cloud frame data using patch metadata included in the decoded point cloud data and a memory communicatively coupled to the one or more processors.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Intel Corporation
    Inventors: Jill Boyce, Scott Janus, Prasoonkumar Surti, Stanley Baran, Michael Apodaca, Srikanth Potluri, Hugues Labbe, Jong Dae Oh, Gokcen Cilingir, Archie Sharma, Jeffrey Tripp, Jason Ross, Barnan Das
  • Patent number: 10535371
    Abstract: Techniques are provided for video summarization, based on speaker segmentation and clustering, to identify persons and scenes of interest. A methodology implementing the techniques according to an embodiment includes extracting audio content from a video stream and detecting one or more segments of the audio content that include the voice of a single speaker. The method also includes grouping the one or more detected segments into an audio cluster associated with the single speaker and providing a portion of the audio cluster to a user. The method further includes receiving an indication from the user that the single speaker is a person of interest. Segments of interest are then extracted from the video stream, where each segment of interest is associated with a scene that includes the person of interest. The extracted segments of interest are then combined into a summarization video.
    Type: Grant
    Filed: September 13, 2016
    Date of Patent: January 14, 2020
    Assignee: INTEL CORPORATION
    Inventors: Gokcen Cilingir, Narayan Biswal
  • Patent number: 10496697
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: December 3, 2019
    Assignee: INTEL CORPORATION
    Inventors: Barnan Das, Mayuresh M. Varerkar, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Patent number: 10468032
    Abstract: Techniques related to speaker recognition are discussed. Such techniques include determining context aware confidence values formed of false accept and false reject rates determined by using adaptively updated acoustic environment score distributions matched to current score distributions.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: November 5, 2019
    Assignee: Intel Corporation
    Inventors: Jonathan J. Huang, Gokcen Cilingir, Tobias Bocklet
  • Publication number: 20190332869
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Application
    Filed: April 9, 2019
    Publication date: October 31, 2019
    Applicant: Intel Corporation
    Inventors: MAYURESH M. VARERKAR, BARNAN DAS, NARAYAN BISWAL, STANLEY J. BARAN, GOKCEN CILINGIR, NILESH V. SHAH, ARCHIE SHARMA, SHERINE ABDELHAK, SACHIN GODSE, FARSHAD AKHBARI, NARAYAN SRINIVASA, ALTUG KOKER, NADATHUR RAJAGOPALAN SATISH, DUKHWAN KIM, FENG CHEN, ABHISHEK R. APPU, JOYDEEP RAY, PING T. TANG, MICHAEL S. STRICKLAND, XIAOMING CHEN, ANBANG YAO, TATIANA SHPEISMAN, VASANTH RANGANATHAN, SANJEEV JAHAGIRDAR
  • Publication number: 20190287290
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
    Type: Application
    Filed: February 8, 2019
    Publication date: September 19, 2019
    Inventors: Chandrasekaran Sakthivel, Michael Apodaca, Kai Xiao, Altug Koker, Jeffery S. Boles, Adam T. Lake, Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, James M. Holland, Prasoonkumar Surti, Jonathan Kennedy, Louis Feng, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20190279645
    Abstract: Techniques are provided for reverberation compensation for far-field speaker recognition. A methodology implementing the techniques according to an embodiment includes receiving an authentication audio signal associated with speech of a user and extracting features from the authentication audio signal. The method also includes scoring results of application of one or more speaker models to the extracted features. Each of the speaker models is trained based on a training audio signal processed by a reverberation simulator to simulate selected far-field environmental effects to be associated with that speaker model. The method further includes selecting one of the speaker models, based on the score, and mapping the selected speaker model to a known speaker identification or label that is associated with the user.
    Type: Application
    Filed: October 6, 2018
    Publication date: September 12, 2019
    Applicant: INTEL CORPORATION
    Inventors: Gokcen Cilingir, Narayan Biswal
  • Publication number: 20190261122
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Application
    Filed: February 7, 2019
    Publication date: August 22, 2019
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Patent number: 10339935
    Abstract: Techniques are provided for training of a text independent (TI) speaker recognition (SR) model. A methodology implementing the techniques according to an embodiment includes measuring context data associated with collected TI speech utterances from a user and identifying the user based on received identity measurements. The method further includes performing a speech quality analysis and a speaker state analysis based on the utterances, and evaluating a training merit value of the utterances, based on the speech quality analysis and the speaker state analysis. If the training merit value exceeds a threshold value, the utterances are stored as training data in a training database. The database is indexed by the user identity and the context data. The method further includes determining whether the stored training data has achieved a sufficiency level for enrollment of a TI SR model, and training the TI SR model for the identified user and context.
    Type: Grant
    Filed: June 19, 2017
    Date of Patent: July 2, 2019
    Assignee: INTEL CORPORATION
    Inventors: Gokcen Cilingir, Jonathan J. Huang, Narayan Biswal, Mandar S. Joshi
  • Patent number: 10303953
    Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: May 28, 2019
    Assignee: INTEL CORPORATION
    Inventors: Mayuresh M. Varerkar, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Sachin Godse, Farshad Akhbari, Narayan Srinivasa, Altug Koker, Nadathur Rajagopalan Satish, Dukhwan Kim, Feng Chen, Abhishek R. Appu, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Vasanth Ranganathan, Sanjeev Jahagirdar
  • Publication number: 20190147175
    Abstract: Technology for a device operable for secured user access is described. The technology can comprise one or more processors. The device can be configured to identify an intruder indicator, wherein the intruder indicator can indicate that an intruder has been detected in a proximity of either the local device or a remote device in communication with the local device. The device can be configured to activate one or more privacy filters at the local device. The device can be configured to encode data based on the one or more privacy filters.
    Type: Application
    Filed: January 8, 2019
    Publication date: May 16, 2019
    Applicant: Intel Corporation
    Inventors: Mayuresh Varerkar, Barnan Das, Archie Sharma, Gokcen Cilingir, Narayan Biswal, Melanie Daniels
  • Patent number: 10251011
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality (AR) and/or virtual reality (VR) sensory enhancements using ray tracing. More particularly, systems, apparatuses and methods may provide a way to normalize environment information captured by multiple capture devices, and calculate, for an observer, the sound sources or sensed events vector paths. The systems, apparatuses and methods may detect and/or manage one or more capture devices and assign one or more the capture devices based on one or more conditions to provide observer an immersive VR/AR experience.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: April 2, 2019
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Travis T. Schluessler, Prasoonkumar Surti, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Abhishek R. Appu, James M. Holland, Jeffery S. Boles, Jonathan Kennedy, Louis Feng, Atsuo Kuwahara, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Publication number: 20190095703
    Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.
    Type: Application
    Filed: September 6, 2018
    Publication date: March 28, 2019
    Applicant: Intel Corporation
    Inventors: Barnan Das, Mayuresh M. Varerkar, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Sherine Abdelhak, Praneetha Kotha, Neelay Pandit, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Abhishek R. Appu, Altug Koker, Joydeep Ray
  • Patent number: 10242486
    Abstract: Systems, apparatuses and methods may provide away to render augmented reality and virtual reality (VR/AR) environment information. More particularly, systems, apparatuses and methods may provide a way to selectively suppress and enhance VR/AR renderings of n-dimensional environments. The systems, apparatuses and methods may deepen a user's VR/AR experience by focusing on particular feedback information, while suppressing other feedback information from the environment.
    Type: Grant
    Filed: April 17, 2017
    Date of Patent: March 26, 2019
    Assignee: Intel Corporation
    Inventors: Chandrasekaran Sakthivel, Michael Apodaca, Kai Xiao, Altug Koker, Jeffery S. Boles, Adam T. Lake, Nikos Kaburlasos, Joydeep Ray, John H. Feit, Travis T. Schluessler, Jacek Kwiatkowski, James M. Holland, Prasoonkumar Surti, Jonathan Kennedy, Louis Feng, Barnan Das, Narayan Biswal, Stanley J. Baran, Gokcen Cilingir, Nilesh V. Shah, Archie Sharma, Mayuresh M. Varerkar
  • Patent number: 10225643
    Abstract: Systems, apparatuses and methods for secure audio acquisition. The method includes receiving audio data via a digital microphone. The digital microphone outputs a single bit at a high sampling rate. The digital microphone output is converted to a full range audio signal. The full range audio signal is filtered to provide a band limited audio output that avoids capture of enough of a spectral range of speech for the speech to be intelligible.
    Type: Grant
    Filed: December 15, 2017
    Date of Patent: March 5, 2019
    Assignee: Intel Corporation
    Inventors: Gokcen Cilingir, David Pearce, Adam Kupryjanow, Suhel Jaber, Paulo Lopez Meyer
  • Patent number: 10170135
    Abstract: Systems, apparatuses and methods for technology to perform gait detection and identification. The system includes a pre-processing pipeline to process audio input data from one or more microphones to combine and strengthen an audio gait signal. The pre-processing pipeline is coupled to a gait detector to detect the sound of one or more footsteps from the audio gait signal. The system also includes a person evaluator (e.g., identifier/verifier) to identify the person associated with the one or more footsteps using a set of trained footstep identification (ID) classifiers. Each trained footstep ID classifier is mapped to the gait of a specific person in the home based on a particular combination of person, footwear, and floor surface within the home.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: January 1, 2019
    Assignee: Intel Corporation
    Inventors: David Pearce, Adam Kupryjanow, Gokcen Cilingir, Suhel Jaber, Paulo Lopez Meyer