Content Based Image Retrieval and Clustering: A Brief Survey
Huiyu Zhou, Abdul Hamid Sadka, Mohammad Rafiq Swash, Jawid Azizi, Abubakar Sadiq Umar · Recent Patents on Electrical Engineering · 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