The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 23, 2010
Filed:
Sep. 14, 2005
Tsugihiko Haga, Kanagawa, JP;
Tetsujiro Kondo, Tokyo, JP;
Daisuke Kikuchi, Tokyo, JP;
Shizuo Chikaoka, Tokyo, JP;
Takeshi Miyai, Tokyo, JP;
Takashi Nakanishi, Tokyo, JP;
Yoshiaki Nakamura, Tokyo, JP;
Tsugihiko Haga, Kanagawa, JP;
Tetsujiro Kondo, Tokyo, JP;
Daisuke Kikuchi, Tokyo, JP;
Shizuo Chikaoka, Tokyo, JP;
Takeshi Miyai, Tokyo, JP;
Takashi Nakanishi, Tokyo, JP;
Yoshiaki Nakamura, Tokyo, JP;
Sony Corporation, Tokyo, JP;
Abstract
An image processing apparatus and method, and a program-recorded recording medium perform detecting features of image information for classes which is input for learning, calculating the degrees of belongingness of the detected features to the classes, weighting pieces of the input image information based on the degrees of belongingness, and calculating prediction coefficients for the classes based on the weighted pieces of the image information. The apparatus and method, and program-recorded recording medium also perform detecting features of input image information for classes, calculating the degrees of belongingness of the detected features to the classes, weighting pieces of the input image information based on the degrees of belongingness, providing prediction coefficients for the classes, calculating pieces of predictive image information for the classes based on the weighted pieces of the image information and the provided coefficients for the classes, and adding the pieces of predictive image information for the classes.