Content Based Image Retrieval and Clustering: A Brief Survey

Author(s): Huiyu Zhou, Abdul H. Sadka, Mohammad R. Swash, Jawid Azizi, Abubakar S. Umar

Journal Name: Recent Patents on Electrical Engineering
Continued as Recent Patents on Electrical & Electronic Engineering

Volume 2 , Issue 3 , 2009


Image retrieval is an important research area, where a variety of clustering techniques have been introduced in the literature to categorise and group the image resources according to their characteristics. In this paper, we provide a brief survey of supervised and unsupervised clustering methods that have been patented up to date in accordance with their applications in image retrieval. In particular, we focus on introducing the concepts generated within these patents based on the limitations found in the classical image retrieval systems. Finally, a summary is made and future work in image retrieval is outlined.

Keywords: Content-based image retrieval, feature, similarity, supervised clustering, unsupervised clustering

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2009
Published on: 01 March, 2012
Page: [187 - 199]
Pages: 13
DOI: 10.2174/1874476110902030187
Price: $65

Article Metrics

PDF: 3