Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Voluminous medical images are generated daily. They are critical assets for medical diagnosis, research, and teaching. To facilitate automatic indexing and retrieval of large medic...
This paper provides a novel Web image clustering methodology based on their associated texts. In our approach, the semantics of Web images are firstly represented into vectors of t...
In this paper, we propose a methodology for embedding watermark image data into color images. At the transmitter, the signature image is encoded by a multiple description encoder. ...
In this paper, we propose the iris recognition system, which can select the good quality data between left and right eye images of same person. Although iris recognition system has...
Jain Jang, Kang Ryoung Park, Jinho Son, Yillbyung ...