Discriminative Signatures for Image Classification

Author

Zhang, Ziming ; Chan, Syin ; Chia, Liang-Tien

Author_Institution

Nanyang Technol. Univ., Singapore

Volume

2

fYear

2007

fDate

Sept. 16 2007-Oct. 19 2007

Abstract

Bag-of-words representation has shown to be a powerful technique for image classification. In this paper, we propose a new approach to discover the discriminability of each visual word (image feature) in the codebook for each image category. A general linear model (GLM) is employed to construct new histograms of the images which are the basis for image classification. We also discuss the relations between our approach and boosting approaches and non-negative matrix factorization (NMF).

Keywords

document image processing; image classification; matrix decomposition; text analysis; bag-of-words representation; codebook; discriminative signatures; general linear model; histograms; image category; image classification; non-negative matrix factorization; Boosting; Computer networks; Histograms; Image analysis; Image classification; Power engineering and energy; Power engineering computing; Support vector machine classification; Support vector machines; Text categorization; discriminative; image classification; signature;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2007. ICIP 2007. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1522-4880

Print_ISBN

978-1-4244-1437-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2007.4379126

Filename

4379126