Patents by Inventor Jonathan Yen

Jonathan Yen 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: 10310911
    Abstract: A processing device receives a first cluster management operation request, wherein the first cluster management operation request is for a deployment operation of a first cluster and comprises a cluster template, a specified number of nodes to deploy and a configuration. The processing device determines a plurality of constraints from at least one of the cluster template or the configuration. The processing device deterministically solves for and outputs a first cluster layout comprising the specified number of nodes, each of the specified number of nodes comprising a hardware type, an image type and one or more services, wherein the first cluster layout satisfies the plurality of constraints.
    Type: Grant
    Filed: March 13, 2015
    Date of Patent: June 4, 2019
    Assignee: Google LLC
    Inventors: Albert Yen Shau, Christopher Gianelloni, Derek Lewis Wood, Jonathan Michael Gray, Nitin Motgi, Poorna Chandra Gowda Bannikkuppe Ramachandra, Rohit Sarma Nistala
  • Patent number: 8861845
    Abstract: Systems and methods of detecting and correcting redeye in an image are described. In one aspect, pixels of the input image are segmented based on projections of color values of the pixels onto two-dimensional thresholding planes. Candidate redeye pixel areas are identified in the input image based on the segmented pixels of the input image.
    Type: Grant
    Filed: January 21, 2008
    Date of Patent: October 14, 2014
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Huitao Luo, Jonathan Yen, Daniel Tretter
  • Patent number: 8634649
    Abstract: Systems and methods for backlit scene detection are described. The method includes performing a pre-test on an electronic image to determine that the electronic image does not include a disqualifying characteristic. Next, the method includes performing a type test on the electronic image to determine an image type of the electronic image from a first set of predetermined backlit image types. Next the method includes performing a post test on the electronic image to determine that the image darkness density does not exceed a predetermined density. Finally, the method includes performing a second post test on the electronic image to determine that the electronic image is one of a second set of predetermined backlit image types or that the edge percentage of the electronic image exceeds a predetermined percentage.
    Type: Grant
    Filed: April 8, 2011
    Date of Patent: January 21, 2014
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: Jonathan Yen, William C. Kress
  • Patent number: 8483508
    Abstract: Image tone adjustment systems and methods are disclosed. The system of the present invention includes an input to accept an input image. A curve generator is also disclosed that is used to generate a tone reproduction curve including a contrast stretch of the input image, a white stretch of the input image and a black stretch of the input image. Backlit correction is also applied by the tone adjustment corrector to thereby generate a tone adjusted image.
    Type: Grant
    Filed: November 8, 2010
    Date of Patent: July 9, 2013
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: Jonathan Yen, William C. Kress, Robert Poe
  • Patent number: 8407201
    Abstract: A digital image search and retrieval system includes a query parser and a response composer. The query parser is configured to parse a query obtained from a client, the query including at least one metadata criterion, search a metadata database for one or more digital images satisfying the metadata criterion, and search a digital image database for the one or more digital images. The response composer is configured to compose a response including the one or more digital images from the digital image database and their corresponding metadata from the metadata database, and enable the client to render the response in accordance with one or more user preferences.
    Type: Grant
    Filed: February 15, 2005
    Date of Patent: March 26, 2013
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Peng Wu, Jonathan Yen
  • Patent number: 8311327
    Abstract: The subject application is directed to a system and method for detecting backlit images. Encoded color image data is first received into a computer having a processor and associated data storage. Histogram data is then calculated from the received encoded color image data, and a mid-tone range in normalized histogram data is then detected. A zone of normalized pixel counts within the mid-tone range is then selected. Data representing an entry point and an exit point of the normalized histogram data relative to the selected zone is then generated. A plateau area is detected in the histogram data in the selected zone between the entry point and the exit point. Thereafter, a backlit image detection signal is generated indicating whether a backlit image portion is present in the color image data according to the plateau detection.
    Type: Grant
    Filed: August 24, 2009
    Date of Patent: November 13, 2012
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: William C. Kress, Jonathan Yen
  • Patent number: 8271489
    Abstract: A photo book system and method with associated multimedia is disclosed. One embodiment of the present invention provides a photo book including an image and an electronically readable code associated with the image. The electronically readable code is used for retrieving a multimedia file that corresponds to the image.
    Type: Grant
    Filed: October 31, 2002
    Date of Patent: September 18, 2012
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Qian Lin, Niranjan Damera-Venkata, Jonathan Yen
  • Patent number: 8238604
    Abstract: The subject application is directed to a system and method for validation of face detection in electronic images. Image data is first received along with at least one image portion that includes a possible facial depiction. Eye position data, nose position data, and mouth position data are also received. A reference point at a central location of the at least one image portion is then isolated. A width of the image portion is then isolated, and a facial region is isolated in accordance with the eye, nose, and mouth position data. The eye distance is then determined from the received eye position data. The isolated facial region data is then tested against the reference point and eye distance is tested against a width of the image portion. An output is generated corresponding to the accuracy of isolated facial region in accordance with the tests.
    Type: Grant
    Filed: August 18, 2008
    Date of Patent: August 7, 2012
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: Jonathan Yen, Tony Quach
  • Publication number: 20120114265
    Abstract: Systems and methods for image contrast enhancement are disclosed. A tone reproduction curve function is generated for a plurality of pixel values, each including a brightness value, based on a contrast adjustment value, the brightness value of each of the pixels and a power-law function, the tone reproduction curve taking the form of an S-shaped curve. The S-shaped curve includes a bulging curve portion corresponding to an area wherein a brightness of pixels having values representative of relative brightness is increased, a sagging curve portion corresponding to an area wherein a brightness of pixels having values representative of relative darkness is decreased, and an inflection point serving as a demarcation between the bulging area and the sagging area of the tone reproduction curve. The exponent of the power-law function is generated as a quadratic polynomial function f(x) in a range 0?f(x)?1, wherein x is defined as a curvature factor.
    Type: Application
    Filed: November 5, 2010
    Publication date: May 10, 2012
    Applicants: Toshiba Tec Kabushiki Kaisha, Kabushiki Kaisha Toshiba
    Inventors: Jonathan Yen, William C. Kress, Bradley S. Winslow
  • Publication number: 20120033890
    Abstract: Systems and methods for backlit scene detection are described. The method includes performing a pre-test on an electronic image to determine that the electronic image does not include a disqualifying characteristic. Next, the method includes performing a type test on the electronic image to determine an image type of the electronic image from a first set of predetermined backlit image types. Next the method includes performing a post test on the electronic image to determine that the image darkness density does not exceed a predetermined density. Finally, the method includes performing a second post test on the electronic image to determine that the electronic image is one of a second set of predetermined backlit image types or that the edge percentage of the electronic image exceeds a predetermined percentage.
    Type: Application
    Filed: April 8, 2011
    Publication date: February 9, 2012
    Applicants: Toshiba Tec Kabushiki Kaisha, Kabushiki Kaisha Toshiba
    Inventors: Jonathan Yen, William C. Kress
  • Patent number: 8064694
    Abstract: Systems and methods of classifying pixels into a nonhuman animal integument class are described. In one aspect, values of features in a discriminant space are determined for respective pixels of the input image. The pixels are classified into a nonhuman animal integument class based on the respective feature values and a mapping that segments the discriminant space into one or more regions of feature values representing pixels associated with a nonhuman animal integument characteristic and one or more regions of feature values representing pixels unassociated with the nonhuman animal integument characteristic.
    Type: Grant
    Filed: June 21, 2006
    Date of Patent: November 22, 2011
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Jonathan Yen, Debargha Mukherjee, Daniel Tretter, Suk Hwan Lim
  • Patent number: 8027536
    Abstract: The subject application is directed to a system and method for image fog scene detection. Electronic image data is first received and divided into image regions, with each region consisting of a plurality of pixels. Next, a comparison matrix is generated corresponding to each image region based upon a comparison of minimum intensity values associated with corresponding pixels to a threshold value. An entry of at least one of the comparison matrices is then tested for a preselected value. The received electronic image data is then identified as inclusive of a fog scene based upon the output of the test on the entry of the comparison matrix. Based upon the identification, fog scene detection data representing an identified fog scene is then generated.
    Type: Grant
    Filed: September 6, 2007
    Date of Patent: September 27, 2011
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: Jonathan Yen, William C. Kress
  • Patent number: 7974487
    Abstract: The subject application is directed to a system and method for image enhancement. Image data, encoded as a plurality of pixels in YCbCr space, is first received, with Y representing a luma component, Cb representing a blue chroma component, and Cr representing a red chroma component. A maximum Y value is selected from the received image data. HSV image data is received corresponding to the YCbCr image data, with H representing a hue component, S representing a saturation component, and V representing a brightness component. A pixel is then selected from the HSV image data having a minimum S value. The S (saturation) value and the V (brightness) value of the selected pixel are then tested against a first and a second threshold level. Thereafter, a Max-RGB algorithm is selectively applied to the RGB image data in accordance with the output of the testing.
    Type: Grant
    Filed: April 17, 2007
    Date of Patent: July 5, 2011
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventor: Jonathan Yen
  • Publication number: 20110116689
    Abstract: The subject application is directed to a system and method for digital image classification. A first data set that includes a data range that corresponds to a first flesh tone range derived from measured flesh tones of subjects in a first ethnicity class is stored memory. A second data set having a data range that corresponds to a second flesh tone range derived from measured flesh tones of subjects in a second ethnicity unique to the first ethnicity is stored in memory. The data sets being encoded in a three dimensional color space. Image data is then received that includes a human subject. A facial region is isolated and image data in the facial region is compared with each data set via a processor operable with the memory. An image correction signal is generated representing whether the facial region aligns with the first data set or the second data set.
    Type: Application
    Filed: November 19, 2009
    Publication date: May 19, 2011
    Inventors: Jonathan Yen, William C. Kress
  • Publication number: 20110110589
    Abstract: The subject application is directed to a system and method for image contrast enhancement. Input image comprised of digitally encoded image data is received into a data processor, including an associated data storage, and histogram data is generated corresponding to received image data. Acceptability of received image data is determined in accordance with a comparison of the histogram data to at least one preselected threshold value and a contrast adjustment including a white stretch, a black stretch, and a contrast stretch is performed on the input image in accordance with the histogram data.
    Type: Application
    Filed: November 8, 2010
    Publication date: May 12, 2011
    Applicants: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: Jonathan Yen, William C. Kress
  • Patent number: 7916905
    Abstract: The subject application is directed to a system and method for image facial detection employing skin tones. Image data comprised of a plurality of pixels encoded in at least a three dimensional component space is received and sub-sampled region data is generated from the received image data. A percentage of pixels having a low chroma value below a threshold value is then calculated and tested against a predetermined percentage threshold value. Each pixel is then classified in accordance with a skin tone model. Skin tone map data is then generated based on classification and a skin tone mask is output form the map data.
    Type: Grant
    Filed: February 2, 2009
    Date of Patent: March 29, 2011
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: Jonathan Yen, Tony Quach
  • Publication number: 20110051161
    Abstract: Image tone adjustment systems and methods are disclosed. The system of the present invention includes an input to accept an input image. A curve generator is also disclosed that is used to generate a tone reproduction curve including a contrast stretch of the input image, a white stretch of the input image and a black stretch of the input image. Backlit correction is also applied by the tone adjustment corrector to thereby generate a tone adjusted image.
    Type: Application
    Filed: November 8, 2010
    Publication date: March 3, 2011
    Applicants: Kabushiki Kaisha Toshiba, Toshiba Tec Kabushiki Kaisha
    Inventors: Jonathan Yen, William C. Kress, Robert Poe
  • Publication number: 20110044552
    Abstract: The subject application is directed to a system and method for image enhancement. Image data is received that contains a rectangular array of pixels encoded in a multidimensional color space. The image data is scaled to a scaled rectangular array having a smaller number of pixels such that both a selected rectangular dimension and a complimentary dimension are scaled to preselected dimension values. Region-of-interest data is received for an isolated region in the image data. A mask matrix, having a rectangular array of elements corresponding to pixels of the scaled rectangular array, is stored. The mask matrix, populated using region-of-interest data, has first and second values associated with each entry, with the first value, but not the second value, corresponding to a region of interest in the scaled rectangular array. Received image data is adjusted according to image data values based on pixel values associated with first value elements.
    Type: Application
    Filed: August 24, 2009
    Publication date: February 24, 2011
    Inventors: Jonathan Yen, Tony Quach
  • Publication number: 20110044541
    Abstract: The subject application is directed to a system and method for detecting backlit images. Encoded color image data is first received into a computer having a processor and associated data storage. Histogram data is then calculated from the received encoded color image data, and a mid-tone range in normalized histogram data is then detected. A zone of normalized pixel counts within the mid-tone range is then selected. Data representing an entry point and an exit point of the normalized histogram data relative to the selected zone is then generated. A plateau area is detected in the histogram data in the selected zone between the entry point and the exit point. Thereafter, a backlit image detection signal is generated indicating whether a backlit image portion is present in the color image data according to the plateau detection.
    Type: Application
    Filed: August 24, 2009
    Publication date: February 24, 2011
    Inventors: William C. Kress, Jonathan Yen
  • Publication number: 20110026818
    Abstract: The subject application is directed to a system and method for backlit face image correction. Image data is first received that includes at least one facial region that defines an image human face. At least one facial region is detected via a processor that operates in accordance with software and an associated data storage. Skin tone characteristics of the at least one facial region are then detected. Pixel count data and histogram data are then calculated from the received image data. A plateau is then detected in a function of the pixel count data relative to the histogram data. A correction factor, based upon a property of the detected plateau, is then calculated. Pixel values of the at least one facial region are adjusted in accordance with the calculated correction factor. Thereafter, a corrected image is output that includes adjusted pixel values corresponding to at least one facial region.
    Type: Application
    Filed: May 17, 2010
    Publication date: February 3, 2011
    Inventors: Jonathan Yen, William C. Kress