In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
Abstract. In this paper, different well-known features for image retrieval are quantitatively compared and their correlation is analyzed. We compare the features for two differen...
We present a new system, called Retimm, for searching databases made of documents containing images and text. Images are indexed by colour and texture distributions.. Colour and t...
Our work in content-based image retrieval (CBIR) relies on content-analysis of multiple representations of an image which we term multiple viewpoints or channels. The conceptual id...
In this paper, we extend the work done by Choubey and Raghavan, which proposed an approach to content-based image retrieval that uses the space transformation methods proposed by G...