In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
In this paper, we design a novel MRF framework which is called Non-Local Range Markov Random Field (NLRMRF). The local spatial range of clique in traditional MRF is extended to th...
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...