Patents by Inventor Ming-Cheng Kan

Ming-Cheng Kan 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: 6728314
    Abstract: The invention relates to a method of using MPEG-7 in object segmentation to extract a desired moving or still image object. The method includes extracting the feature of an existing video object Plane (VOP) by MPEG-7 technique and storing it in an MPEG-7 database, segmenting an input image into a plurality of objects by using the watershed process, comparing each of the plurality of objects to the stored object descriptor feature, and extracting the shape and position of the most similar object in the input image.
    Type: Grant
    Filed: November 21, 2001
    Date of Patent: April 27, 2004
    Assignee: National Chung Cheng University
    Inventors: Ming-Cheng Kan, Chung J. Kuo
  • Publication number: 20030179824
    Abstract: The invention provides a video object segmentation process for parting video objects from a video or image based on Motion Picture Experts Group (MPEG) compression standard. The process uses MPEG-7 descriptors and watershed segmentation. A database stores MPEG-7 descriptors of video objects for comparison of image regions obtained from watershed segmentation and region combination. The region that is most similar to the descriptors of data in the database is the video object to be found.
    Type: Application
    Filed: September 25, 2002
    Publication date: September 25, 2003
    Inventors: Ming-Cheng Kan, Chung J. Kuo, Guo-Zua Wu, Meng-Han Tsai
  • Publication number: 20030035479
    Abstract: The invention relates to a method of using MPEG-7 in object segmentation to extract a desired moving or still image object. The method includes extracting the feature of an existing video object Plane (VOP) by MPEG-7 technique and storing it in an MPEG-7 database, segmenting an input image into a plurality of objects by using the watershed process, comparing each of the plurality of objects to the stored object descriptor feature, and extracting the shape and position of the most similar object in the input image.
    Type: Application
    Filed: November 21, 2001
    Publication date: February 20, 2003
    Applicant: NATIONAL CHUNG CHENG UNIVERSITY
    Inventors: Ming-Cheng Kan, Chung J. Kuo