Patents by Inventor Durga Ganesh Grandhi

Durga Ganesh Grandhi 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: 20200004411
    Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.
    Type: Application
    Filed: September 12, 2019
    Publication date: January 2, 2020
    Inventors: Sylvain Paris, Durga Ganesh Grandhi, Srinivasa Madhava Phaneendra Angara, Robert Land Gager, Sharad Baliyan
  • Patent number: 10444958
    Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.
    Type: Grant
    Filed: September 23, 2013
    Date of Patent: October 15, 2019
    Assignee: Adobe Systems Incorporated
    Inventors: Sylvain Paris, Durga Ganesh Grandhi, Srinivasa Madhava Phaneendra Angara, Robert Land Gager, Sharad Baliyan
  • Patent number: 10108884
    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.
    Type: Grant
    Filed: May 13, 2016
    Date of Patent: October 23, 2018
    Assignee: ADOBE SYSTEMS INCORPORATED
    Inventors: Sylvain Paris, Durga Ganesh Grandhi, Srinivasa Madhava Phaneendra Angara, Robert Land Gager
  • Patent number: 9747526
    Abstract: In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.
    Type: Grant
    Filed: October 6, 2015
    Date of Patent: August 29, 2017
    Assignee: ADOBE SYSTEMS INCORPORATED
    Inventors: Sylvain Paris, Mohit Gupta, Srinivasa Madhava Phaneendra Angara, Durga Ganesh Grandhi
  • Publication number: 20160253578
    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.
    Type: Application
    Filed: May 13, 2016
    Publication date: September 1, 2016
    Inventors: Sylvain Paris, Durga Ganesh Grandhi, Srinivasa Madhava Phaneendra Angara, Robert Land Gager
  • Patent number: 9424653
    Abstract: A computer implemented method for generating a representative thumbnail for an image. The method comprises determining a representative area of an image, the determining comprising determining an absence of faces in the image; dividing the image into one or more zones; and selecting a zone with maximum edge strength as the representative area; and generating a thumbnail by cropping the image to the representative area.
    Type: Grant
    Filed: April 29, 2014
    Date of Patent: August 23, 2016
    Assignee: ADOBE SYSTEMS INCORPORATED
    Inventors: Mohit Gupta, Durga Ganesh Grandhi
  • Patent number: 9361666
    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.
    Type: Grant
    Filed: October 7, 2013
    Date of Patent: June 7, 2016
    Assignee: ADOBE SYSTEMS INCORPORATED
    Inventors: Sylvain Paris, Durga Ganesh Grandhi, Srinivasa Madhava Phaneendra Angara, Robert Land Gager
  • Publication number: 20160026897
    Abstract: In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.
    Type: Application
    Filed: October 6, 2015
    Publication date: January 28, 2016
    Inventors: SYLVAIN PARIS, MOHIT GUPTA, SRINIVASA MADHAVA PHANEENDRA ANGARA, DURGA GANESH GRANDHI
  • Patent number: 9195909
    Abstract: In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.
    Type: Grant
    Filed: September 23, 2013
    Date of Patent: November 24, 2015
    Assignee: ADOBE SYSTEMS INCORPORATED
    Inventors: Sylvain Paris, Mohit Gupta, Srinivasa Madhava Phaneendra Angara, Durga Ganesh Grandhi
  • Publication number: 20150310585
    Abstract: A computer implemented method for generating a representative thumbnail for an image. The method comprises determining a representative area of an image, the determining comprising determining an absence of faces in the image; dividing the image into one or more zones; and selecting a zone with maximum edge strength as the representative area; and generating a thumbnail by cropping the image to the representative area.
    Type: Application
    Filed: April 29, 2014
    Publication date: October 29, 2015
    Applicant: Adobe Systems Incorporated
    Inventors: Mohit Gupta, Durga Ganesh Grandhi
  • Publication number: 20150098646
    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.
    Type: Application
    Filed: October 7, 2013
    Publication date: April 9, 2015
    Applicant: Adobe Systems Incorporated
    Inventors: Sylvain Paris, Durga Ganesh Grandhi, Srinivasa Madhava Phaneendra Angara, Robert Land Gager
  • Publication number: 20150089444
    Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.
    Type: Application
    Filed: September 23, 2013
    Publication date: March 26, 2015
    Applicant: Adobe Systems Incorporated
    Inventors: Sylvain Paris, Durga Ganesh Grandhi, Srinivasa Madhava Phaneendra Angara, Robert Land Gager, Sharad Baliyan
  • Publication number: 20150086109
    Abstract: In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.
    Type: Application
    Filed: September 23, 2013
    Publication date: March 26, 2015
    Applicant: Adobe Systems Incorporated
    Inventors: Sylvain Paris, Mohit Gupta, Srinivasa Madhava Phaneendra Angara, Durga Ganesh Grandhi