Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure : Unlike traditional features like color, t...
Zoltan Kato, Xiaowen Ji, Tamas Sziranyi, Zoltan To...
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a “black box” to th...
A novel method and a framework called Memory-Based Forecasting are proposed to forecast complex and timevarying natural patterns with the goal of supporting experts' decision...
: Managing image data in a database system using metadata has been practiced since the last two decades. However, describing an image fully and adequately with metadata is practica...