Preprocessing of image and video sequences with spatial filtering techniques usually improves the image quality and compressibility. We present a block-based, nonlinear filtering algorithm based on singular value decomposition and compression-based filtering. Experiments show that the proposed filter preserves edge details and can significantly improve the compression performance.
The digital revolution that has been taking place for the past two decades propelled by major breakthroughs in the ICT field has changed the way we communicate, work, travel, live-and even the way we use public space. Our cities are increasingly moving from a collection of static buildings and infrastructures to dynamic and evolving smart ecosystems known as, Intelligent Cities. In this article we analyze an intelligent city from the electronic information and communication perspective and offer examples of variants of its implementation. An intelligent city lays its foundation on a digital-city infrastructure which connects a local community and drives growth, efficiency, productivity, and competitiveness. The high level architecture of an intelligent city ecosystem, key enabling technologies, and the necessary policy framework for the establishment of digital cities worldwide are introduced. Business models for this new ecosystem bridging the physical and virtual worlds are briefly discussed.
This paper presents a novel implementation of a patient fall detection system that may be used for patient activity recognition and emergency treatment. Sensors equipped with accelerometers are attached on the body of the patients and transmit patient movement data wirelessly to the monitoring unit. The methodology of support Vector Machines is used for precise classification of the acquired data and determination of a fall emergency event. Then a context-aware server transmits video fi-om patient site properly coded according to both patient and network status. Evaluation results indicate the high accuracy of the classification method and the effectiveness of the proposed implementation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.