Patents by Inventor Natsumaro Kutsuna

Natsumaro Kutsuna 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).

  • Feature quantity selection method, feature quantity selection apparatus, image classification method, image classification apparatus, computer program, and recording medium
    Patent number: 8260063
    Abstract: A control unit (41) included in an image classification apparatus of the present invention performs a step of clustering a plurality of training images for each of a plurality of combination patterns of a plurality of feature quantities that an image has, and a step of selecting, from among the plurality of combination patterns, a classification-use combination pattern to be used in image classification, based on a result of the clustering. The clustering is performed based on degrees of similarity between the training images that have been calculated with use of the feature quantities constituting the combination patterns.
    Type: Grant
    Filed: April 18, 2008
    Date of Patent: September 4, 2012
    Assignee: The University of Tokyo
    Inventors: Seiichiro Hasezawa, Natsumaro Kutsuna, Takumi Higaki, Satihiro Matsunaga, Susumu Uchiyama, Rika Maniwa, Arni eguna Gambe, Kiichi Fukui
  • FEATURE QUANTITY SELECTION METHOD, FEATURE QUANTITY SELECTION APPARATUS, IMAGE CLASSIFICATION METHOD, IMAGE CLASSIFICATION APPARATUS, COMPUTER PROGRAM, AND RECORDING MEDIUM
    Publication number: 20100172555
    Abstract: A control unit (41) included in an image classification apparatus of the present invention performs a step of clustering a plurality of training images for each of a plurality of combination patterns of a plurality of feature quantities that an image has, and a step of selecting, from among the plurality of combination patterns, a classification-use combination pattern to be used in image classification, based on a result of the clustering. The clustering is performed based on degrees of similarity between the training images that have been calculated with use of the feature quantities constituting the combination patterns.
    Type: Application
    Filed: April 18, 2008
    Publication date: July 8, 2010
    Applicant: THE UNIVERSITY OF TOKYO
    Inventors: Seiichiro Hasezawa, Natsumaro Kutsuna, Takumi Higaki, Satihiro Matsunaga, Susumu Uchiyama, Rika Maniwa, Arni eguna Gambe, Kiichi Fukui