In order to overcome poor readability of text and recognizability of image features in low resolution thumbnails, a novel image representation of compound document images - a Smar...
Kathrin Berkner, Edward L. Schwartz, Christophe Ma...
This work describes a novel methodology for automatic contour extraction from 2D images of 3D neurons (e.g. camera lucida images and other types of 2D microscopy). Most contour-ba...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
Abstract. In this paper, we present a framework for segmenting the news programs into different story topics. The proposed method utilizes both visual and text information of the v...
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...