Image clustering, an important technology for image processing, has been actively researched for a long period of time. Especially in recent years, with the explosive growth of th...
Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianShen...
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Thispaper presents a nonparametricregion competition algorithm which combines scale-space clustering and region competition to segment the image. It also proposes a formal and gen...
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...