Patents by Inventor Clarence Chui

Clarence Chui 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: 20210287448
    Abstract: Techniques for virtualizing content are disclosed. Elements comprising source content are virtualized by mapping each to and representing each with a corresponding database object. A specification of the corresponding database objects is provided for rendering the source content instead of any original pixel information of the source content so that a virtualized version of the source content is rendered.
    Type: Application
    Filed: May 27, 2021
    Publication date: September 16, 2021
    Inventors: Clarence Chui, Marc Mignard
  • Publication number: 20210287449
    Abstract: Techniques for delivering virtualized content are disclosed. In some embodiments, elements in source content are mapped to a set of corresponding database objects, and the set of database objects is modified to generate a virtualized version of the source content. A specification of the virtualized version of the source content is provided to an output device in response to a request from the output device for the source content.
    Type: Application
    Filed: May 28, 2021
    Publication date: September 16, 2021
    Inventor: Clarence Chui
  • Publication number: 20210217225
    Abstract: Techniques for generating an arbitrary view of an asset are disclosed. In some embodiments, arbitrary view generation includes storing a set of images of an asset, wherein each image comprising at least a subset of the set of images is rendered from a three-dimensional model of the asset, and generating an image comprising an arbitrary perspective of the asset at least in part by populating the image comprising the arbitrary perspective with pixels harvested from one or more images comprising the set of images.
    Type: Application
    Filed: March 31, 2021
    Publication date: July 15, 2021
    Inventors: Clarence Chui, Manu Parmar
  • Publication number: 20210217143
    Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.
    Type: Application
    Filed: March 31, 2021
    Publication date: July 15, 2021
    Inventors: Clarence Chui, Manu Parmar
  • Patent number: 11055916
    Abstract: Techniques for virtualizing content are disclosed. One or more objects comprising source video content are determined. The one or more objects comprising the source video content are virtualized by mapping each to and representing each with a corresponding database object. Data comprising the corresponding database objects is provided for rendering the source video content instead of any original pixel information of the source video content so that a virtualized version of the source video content is rendered.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: July 6, 2021
    Assignee: Outward, Inc.
    Inventors: Clarence Chui, Marc Mignard
  • Patent number: 11055915
    Abstract: Techniques for delivering virtualized content are disclosed. In some embodiments, source content is virtualized by mapping elements in the source content to existing database objects, and a specification of the virtualized version of the source content is provided to an output device in response to a request from the output device for the source content. In some such cases, a format of the source content, a format of the virtualized version of the source content, and a native format in which the virtualized version of the source content is rendered at the output device all comprise different formats.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: July 6, 2021
    Assignee: Outward, Inc.
    Inventor: Clarence Chui
  • Patent number: 11024076
    Abstract: Techniques for generating an arbitrary view of an asset are disclosed. In some embodiments, arbitrary view generation includes storing a set of images of an asset, wherein each image comprising at least a subset of the set of images has an overlapping field of view with at least one other image in the subset, and generating an image comprising an arbitrary perspective of the asset at least in part by populating the image comprising the arbitrary perspective with pixels harvested from one or more images comprising the set of images.
    Type: Grant
    Filed: November 6, 2018
    Date of Patent: June 1, 2021
    Assignee: Outward, Inc.
    Inventors: Clarence Chui, Manu Parmar
  • Patent number: 10997698
    Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.
    Type: Grant
    Filed: August 26, 2020
    Date of Patent: May 4, 2021
    Assignee: Outward, Inc.
    Inventors: Clarence Chui, Manu Parmar
  • Publication number: 20210125403
    Abstract: A machine learning based image processing and generation framework is disclosed. In some embodiments, depth values of an object or asset in a received input image are at least in part determined using a machine learning based framework that is constrained to a known prescribed environment. Determined depth values facilitate generation of other views of the object or asset.
    Type: Application
    Filed: November 5, 2020
    Publication date: April 29, 2021
    Inventors: Clarence Chui, Manu Parmar, Amogh Subbakrishna Adishesha, Harshul Gupta, Avinash Venkata Uppuluri
  • Publication number: 20210125402
    Abstract: Techniques for generating an image are disclosed. In some embodiments, a received input image is transformed to generate an output image using a machine learning based framework that is trained on a constrained set of images. The generated output image comprises an attribute learned by the machine learning based framework from the set of images.
    Type: Application
    Filed: November 5, 2020
    Publication date: April 29, 2021
    Inventors: Clarence Chui, Manu Parmar, Amogh Subbakrishna Adishesha, Harshul Gupta, Avinash Venkata Uppuluri
  • Publication number: 20210118219
    Abstract: Techniques for generating an arbitrary view or perspective of an ensemble scene are disclosed. In some embodiments, in response to a received request for a prescribed perspective of an ensemble scene comprising a plurality of assets, an output image of the ensemble scene for the requested prescribed perspective is generated based at least in part on combining at least a portion of an existing image of each of at least a subset of the plurality of assets.
    Type: Application
    Filed: November 4, 2020
    Publication date: April 22, 2021
    Inventors: Clarence Chui, Manu Parmar, Brook Aaron Seaton, Himanshu Jain
  • Publication number: 20210118220
    Abstract: Techniques for generating a prescribed perspective of a scene are disclosed. In some embodiments, a specification of a scene comprising a plurality of objects is specified using object views that are substantially free of perspective distortions, and a prescribed perspective of the scene is at least in part generated by populating the prescribed perspective of the scene with pixels from existing images of the plurality of objects.
    Type: Application
    Filed: December 23, 2020
    Publication date: April 22, 2021
    Inventors: Clarence Chui, Manu Parmar, Brook Seaton
  • Publication number: 20210110518
    Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.
    Type: Application
    Filed: December 22, 2020
    Publication date: April 15, 2021
    Inventors: Clarence Chui, Manu Parmar
  • Publication number: 20210065442
    Abstract: Techniques for generating aligned, augmented reality views are disclosed. In some embodiments, an estimate of a floorplan of a three-dimensional space is first generated based on one or more received views of the three-dimensional space from a camera located in the three-dimensional space. A camera pose of the camera in the three-dimensional space is next determined based on generating a corrected floorplan from the estimate of the floorplan based on foreknowledge associated with the floorplan. Display of a rendering having the determined camera pose is facilitated in an actual view of the camera, resulting in an aligned, augmented reality view.
    Type: Application
    Filed: November 11, 2020
    Publication date: March 4, 2021
    Inventors: Manu Parmar, Brook Seaton, Clarence Chui
  • Patent number: 10909749
    Abstract: Techniques for generating an arbitrary perspective of a composite object are disclosed. In some embodiments, a specification of an orthographic view of a composite object comprises combined orthographic views of a plurality of objects, and an arbitrary perspective of the composite object is at least in part generated by populating the arbitrary perspective of the composite object with pixels harvested from existing images of the plurality of objects.
    Type: Grant
    Filed: October 25, 2018
    Date of Patent: February 2, 2021
    Assignee: Outward, Inc.
    Inventors: Clarence Chui, Manu Parmar, Brook Seaton
  • Patent number: 10902559
    Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.
    Type: Grant
    Filed: August 6, 2018
    Date of Patent: January 26, 2021
    Assignee: Outward, Inc.
    Inventors: Clarence Chui, Manu Parmar
  • Publication number: 20210019934
    Abstract: Techniques for generating an ensemble image are disclosed. In some embodiments, images associated with a plurality of independent scenes are translated to a prescribed origin, translated images associated with each independent scene are transformed into a prescribed perspective; and pixels of an image array having the prescribed perspective that is associated with each independent scene is populated with corresponding pixels from the transformed translated images associated with that independent scene. An ensemble image comprising the prescribed perspective is at least in part generated by combining at least some pixels of image arrays associated with the plurality of independent scenes.
    Type: Application
    Filed: September 30, 2020
    Publication date: January 21, 2021
    Inventors: Clarence Chui, Manu Parmar
  • Patent number: 10872464
    Abstract: Techniques for generating aligned, augmented reality views are disclosed. In some embodiments, an estimate of a floorplan of a three-dimensional space is first generated based on one or more views of the three-dimensional space from a camera of a device located in the three-dimensional space. A cost function is next minimized with respect to the estimate of the floorplan to generate a corrected floorplan having less error than the estimated floorplan, and a camera pose corresponding to the corrected floorplan is determined. Display of a rendering having the determined camera pose is facilitated in an actual view of the camera, resulting in an aligned, augmented reality view.
    Type: Grant
    Filed: October 31, 2018
    Date of Patent: December 22, 2020
    Assignee: Outward, Inc.
    Inventors: Manu Parmar, Brook Seaton, Clarence Chui
  • Publication number: 20200394762
    Abstract: A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.
    Type: Application
    Filed: August 26, 2020
    Publication date: December 17, 2020
    Inventors: Clarence Chui, Manu Parmar
  • Patent number: 10839592
    Abstract: Improved techniques for generating video content are disclosed. In some embodiments, a frame is rendered using a rendering option. It is then determined whether the frame is an independent frame (I-frame) or a predictive frame (P-frame). In the event that the frame is an I-frame, the frame is independently encoded. In the event that the frame is a P-frame, motion is estimated from a known geometry of an associated scene and motion vectors and prediction error are encoded.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: November 17, 2020
    Assignee: Outward, Inc.
    Inventors: Manu Parmar, Zhanpeng Feng, Clarence Chui