The paper proposes a novel unsupervised video object segmentation algorithm for image sequences with low depth-offield (DOF), which is a popular photographic technique enabling to represent the intention of photographer by giving a clear focus only on an object-of-interest (OOI). The proposed algorithm largely consists of two modules. The first module automatically extracts OOIs from the first frame by separating sharply focused OOIs from other out-of-focused foreground or background objects. The second module tracks OOIs for the rest of the video sequence, aimed at running the system in real-time, or at least, semi-real-time. The experimental results indicate that the proposed algorithm provides an effective tool, which can be a basis of applications, such as video analysis for virtual reality, immersive
video system, photo-realistic video scene generation and video indexing systems.
More simple and cost-effective shrinkage techniques for contact hole (C/H) are required instead of conventional technologies such as thermal flow, RELACS, SAFIER and CONPEAT with the aggressive reduction in size of devices. We have developed a new method, Coating Assisted Shrinkage of Space (CASS) process. This process simply coats polymer over the patterned wafer. It doesn't need a bake and rinse step for shrinkage. Sub-100 nm C/H patterns were successfully defined after coating CASS material with good profile.
For optical interconnection application, typically GaAs light source or Si photodiodes are employed. For the receiver electronics, however, the CMOS technology would be the technology of choice for both the performance and the cost. In this paper, we present a photodetector technology that is completely CMOS compatible and has a novel structure that leads to variable photosensitivity. The latter can be used for both optical switching and logic applications as well.