A comparative study of global and local feature representations in image database categorization

Chih Fong Tsai, Wei Chao Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Content-based image retrieval systems can automatically extract visual content of images which allow users to query images by their low-level features (such as color and texture). However, users usually prefer querying images based on high-level concepts such as keywords. Classifying images into a number of categories (or image classification) facilitates search in image databases. However, the classification performance is heavily dependent on the use of features. In general, there are three feature representation methods, which are global, block-based, and region-based features. As related work only considers using one of these three methods, this paper aims at comparing each of these methods and their combinations by using a standard classifier (i.e. k-nearest neighbor) over thirty categories. The experimental results show that the combined global and block-based feature representation performs the best. In addition, larger numbers of training examples produce higher classification accuracy.

Original languageEnglish
Title of host publicationNCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
Pages1563-1566
Number of pages4
DOIs
StatePublished - 2009
EventNCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications - Seoul, Korea, Republic of
Duration: 25 Aug 200927 Aug 2009

Publication series

NameNCM 2009 - 5th International Joint Conference on INC, IMS, and IDC

Conference

ConferenceNCM 2009 - 5th International Joint Conference on Int. Conf. on Networked Computing, Int. Conf. on Advanced Information Management and Service, and Int. Conf. on Digital Content, Multimedia Technology and its Applications
Country/TerritoryKorea, Republic of
CitySeoul
Period25/08/0927/08/09

Keywords

  • Content-based image retrieval
  • Feature representation
  • Image classification
  • Multimedia databases

Fingerprint

Dive into the research topics of 'A comparative study of global and local feature representations in image database categorization'. Together they form a unique fingerprint.

Cite this