We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
Abstract. This paper presents novel dissimilarity space specially designed for interactive multimedia retrieval. By providing queries made of positive and negative examples, the go...
The amount of personal digital media is increasing, and managing it has become a pressing problem. Effective management of media content is not possible without content-related me...
Risto Sarvas, Erick Herrarte, Anita Wilhelm, Marc ...
We present a method to detect automatically pornographic content on the Web. Our method combines techniques from language engineering and image analysis within a machine-learning f...
Konstantinos Chandrinos, Ion Androutsopoulos, Geor...