http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A Very Low Bit Rate Video Coding for Ubiquitous Services
Ben-Shung Chow 보안공학연구지원센터 2008 International Journal of Hybrid Information Techno Vol.1 No.4
The video coding with a bit rates below 10k bps has not been considered as a practical application in commercial communication systems. The main reason is that a user in the present multiple access system is assigned a fixed conceptual channel with the bit rate of speech signal, which is much more than 10k bps such as 16k. Video communication below 10k bps using inexpensive resource is indeed of low caliber of visual quality but is still readable in a small display. This visual quality can be tolerable under the consideration of the convenient receiver and the limit bandwidth for communication. Therefore, the proposed coding strategy in this paper to code the 64*64 binary images is suitable for ubiquitous services.
Wang, Li,Ren, Yi,Gao, Yaozong,Tang, Zhen,Chen, Ken-Chung,Li, Jianfu,Shen, Steve G F,Yan, Jin,Lee, Philip K M,Chow, Ben,Xia, James J,Shen, Dinggang Published for the American Association of Physicis 2015 Medical physics Vol.42 No.10
<P>A significant number of patients suffer from craniomaxillofacial (CMF) deformity and require CMF surgery in the United States. The success of CMF surgery depends on not only the surgical techniques but also an accurate surgical planning. However, surgical planning for CMF surgery is challenging due to the absence of a patient-specific reference model. Currently, the outcome of the surgery is often subjective and highly dependent on surgeon's experience. In this paper, the authors present an automatic method to estimate an anatomically correct reference shape of jaws for orthognathic surgery, a common type of CMF surgery.</P>
Wang, Li,Chen, Ken Chung,Gao, Yaozong,Shi, Feng,Liao, Shu,Li, Gang,Shen, Steve G. F.,Yan, Jin,Lee, Philip K. M.,Chow, Ben,Liu, Nancy X.,Xia, James J.,Shen, Dinggang Published for the American Association of Physicis 2014 Medical physics Vol.41 No.4
<P>Cone-beam computed tomography (CBCT) is an increasingly utilized imaging modality for the diagnosis and treatment planning of the patients with craniomaxillofacial (CMF) deformities. Accurate segmentation of CBCT image is an essential step to generate three-dimensional (3D) models for the diagnosis and treatment planning of the patients with CMF deformities. However, due to the poor image quality, including very low signal-to-noise ratio and the widespread image artifacts such as noise, beam hardening, and inhomogeneity, it is challenging to segment the CBCT images. In this paper, the authors present a new automatic segmentation method to address these problems.</P>