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

Chih Fong Tsai, Wei Chao Lin

研究成果: 書貢獻/報告類型會議論文篇章同行評審

10 引文 斯高帕斯(Scopus)

摘要

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.

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主出版物標題NCM 2009 - 5th International Joint Conference on INC, IMS, and IDC
頁面1563-1566
頁數4
DOIs
出版狀態已出版 - 2009
事件NCM 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
持續時間: 25 8月 200927 8月 2009

出版系列

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

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???event.eventtypes.event.conference???NCM 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
國家/地區Korea, Republic of
城市Seoul
期間25/08/0927/08/09

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