Patents by Inventor Sergey Ioffe

Sergey Ioffe 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: 7957555
    Abstract: A method and an apparatus localize an object part location in a digital image. The method according to one embodiment accesses digital image data containing an object part; obtains an initial position estimate for object part location of the object part; extracts a sub-image window around the initial position estimate of the object part location; calculates feature values based on pixel values within the sub-image window; and determines an updated position estimate for the object part location based on the calculated feature values.
    Type: Grant
    Filed: February 8, 2006
    Date of Patent: June 7, 2011
    Assignee: Fujifilm Corporation
    Inventor: Sergey Ioffe
  • Patent number: 7702131
    Abstract: A sequence of images depicts a foreground object in motion. A base image is selected, and the other images in the sequence are co-registered with the base image in order to align the images to a common coordinate system. A background image and a binary foreground mask are generated from the sequence of aligned images. By applying the foreground mask to a chosen one of the aligned images, a representation of the moving object is extracted. After blurring the background image, the extracted representation may be superimposed onto the blurred background image to produce a new image.
    Type: Grant
    Filed: October 13, 2005
    Date of Patent: April 20, 2010
    Assignee: Fujifilm Corporation
    Inventors: Troy Chinen, Sergey Ioffe, Thomas Leung, Yang Song
  • Patent number: 7684594
    Abstract: A method and an apparatus estimate an object part location in a digital image using feature value analysis. The method according to one embodiment accesses digital image data representing a region including an object part of a digital image; accesses reference data including class data of classes relating to predetermined positions of the object part in predetermined regions, and features that discriminate among the classes; calculates feature values for the features in the region using pixel values within the region; and determines a location estimate of the object part using the feature values and the reference data.
    Type: Grant
    Filed: February 8, 2006
    Date of Patent: March 23, 2010
    Assignee: Fujifilm Corporation
    Inventor: Sergey Ioffe
  • Publication number: 20090262987
    Abstract: A method and system of identity masking to obscure identities corresponding to face regions in an image is disclosed. A face detector is applied to detect a set of possible face regions in the image. Then an identity masker is used to process the detected face regions by identity masking techniques in order to obscure identities corresponding to the regions. For example, a detected face region can be blurred as if it is in motion by a motion blur algorithm, such that the blurred region can not be recognized as the original identity. Or the detected face region can be replaced by a substitute facial image by a face replacement algorithm to obscure the corresponding identity.
    Type: Application
    Filed: March 31, 2008
    Publication date: October 22, 2009
    Applicant: Google Inc.
    Inventors: Sergey Ioffe, Lance Williams, Dennis Strelow, Andrea Frome, Luc Vincent
  • Patent number: 7596247
    Abstract: A method and an apparatus automatically recognize or verify objects in a digital image using probability models. According to a first aspect, a method and apparatus automatically recognize or verify objects in a digital image by: accessing digital image data including an object of interest therein; detecting an object of interest in the image; normalizing the object to generate a normalized object representation; extracting a plurality of features from the normalized object representation; and applying each feature to a previously-determined additive probability model to determine the likelihood that the object of interest belongs to an existing class. In one embodiment, the previously-determined additive probability model is an Additive Gaussian Model.
    Type: Grant
    Filed: December 15, 2003
    Date of Patent: September 29, 2009
    Assignee: Fujifilm Corporation
    Inventor: Sergey Ioffe
  • Patent number: 7343028
    Abstract: A method and an apparatus automatically detect red-eye regions in a photographic image. The method according to one embodiment accesses digital image data representing a color photographic image; detects red-eye candidate regions in the photographic image by processing the digital image data, the step of detecting red-eye candidate regions including calculating feature values for multiple positions of the photographic image, and identifying red-eye candidate regions based on the calculated feature values resulting from the calculating step; and performs face detection to determine whether an identified red-eye candidate region is associated with a face.
    Type: Grant
    Filed: May 19, 2003
    Date of Patent: March 11, 2008
    Assignee: Fujifilm Corporation
    Inventors: Sergey Ioffe, Troy T. Chinen
  • Publication number: 20070183686
    Abstract: A method and an apparatus estimate an object part location in a digital image using feature value analysis. The method according to one embodiment accesses digital image data representing a region including an object part of a digital image; accesses reference data including class data of classes relating to predetermined positions of the object part in predetermined regions, and features that discriminate among the classes; calculates feature values for the features in the region using pixel values within the region; and determines a location estimate of the object part using the feature values and the reference data.
    Type: Application
    Filed: February 8, 2006
    Publication date: August 9, 2007
    Inventor: Sergey Ioffe
  • Publication number: 20070183654
    Abstract: A method and an apparatus localize an object part location in a digital image. The method according to one embodiment accesses digital image data containing an object part; obtains an initial position estimate for object part location of the object part; extracts a sub-image window around the initial position estimate of the object part location; calculates feature values based on pixel values within the sub-image window; and determines an updated position estimate for the object part location based on the calculated feature values.
    Type: Application
    Filed: February 8, 2006
    Publication date: August 9, 2007
    Inventor: Sergey Ioffe
  • Publication number: 20070086675
    Abstract: A sequence of images depicts a foreground object in motion. A base image is selected, and the other images in the sequence are co-registered with the base image in order to align the images to a common coordinate system. A background image and a binary foreground mask are generated from the sequence of aligned images. By applying the foreground mask to a chosen one of the aligned images, a representation of the moving object is extracted. After blurring the background image, the extracted representation may be superimposed onto the blurred background image to produce a new image.
    Type: Application
    Filed: October 13, 2005
    Publication date: April 19, 2007
    Inventors: Troy Chinen, Sergey Ioffe, Thomas Leung, Yang Song
  • Publication number: 20050105780
    Abstract: A method and an apparatus automatically recognize or verify objects in a digital image using probability models. According to a first aspect, a method and apparatus automatically recognize or verify objects in a digital image by: accessing digital image data including an object of interest therein; detecting an object of interest in the image; normalizing the object to generate a normalized object representation; extracting a plurality of features from the normalized object representation; and applying each feature to a previously-determined additive probability model to determine the likelihood that the object of interest belongs to an existing class. In one embodiment, the previously-determined additive probability model is an Additive Gaussian Model.
    Type: Application
    Filed: December 15, 2003
    Publication date: May 19, 2005
    Inventor: Sergey Ioffe
  • Publication number: 20040233299
    Abstract: A method and an apparatus automatically detect red-eye regions in a photographic image. The method according to one embodiment accesses digital image data representing a color photographic image; detects red-eye candidate regions in the photographic image by processing the digital image data, the step of detecting red-eye candidate regions including calculating feature values for multiple positions of the photographic image, and identifying red-eye candidate regions based on the calculated feature values resulting from the calculating step; and performs face detection to determine whether an identified red-eye candidate region is associated with a face.
    Type: Application
    Filed: May 19, 2003
    Publication date: November 25, 2004
    Inventors: Sergey Ioffe, Troy T. Chinen