Research in vision science has an intrinsic potential for integrating contributions from psychology, computer science, engineering, optics, neuroscience, and physiology, among many other areas of knowledge. During the past 15 years, many vision researchers have successfully demonstrated that the results of such interdisciplinary efforts can advance the state of the art and lead to promising discoveries.

This talk presents representative research results that blend experiments in human visual perception and computer vision models to solve challenging vision problems. Particularly, it discusses the issues of object and scene recognition and the role of context and shows how they are being addressed by the leading researchers in the field.

After introducing selected basic concepts of object detection and recognition, scene recognition and analysis, and the role of context, we will discuss representative attempts to model the process of context influences in object perception. We will then motivate further research efforts by presenting a number of fascinating open problems in this field and suggesting how they can be approached in a truly interdisciplinary way.

Dr. Oge Marques is an Associate Professor in the Department of Computer Science and Engineering at Florida Atlantic University in Boca Raton, Florida. He is currently a guest professor with ITEC at University of Klagenfurt. He received his Ph.D. in Computer Engineering from Florida Atlantic University in 2001, his Masters in Electronics Engineering from Philips International Institute (Eindhoven, NL) in 1989 and his Bachelor’s Degree in Electrical Engineering from UTFPR (Curitiba, Brazil), where he also taught for more than 10 years before moving to the USA.

His research interests include: image processing, analysis, annotation, search, and retrieval; human and computer vision; and video processing and analysis. He has more than 20 years of teaching and research experience in the fields of image processing and computer vision, in different countries (USA, Austria, Brazil, Netherlands, Spain, and India) and capacities. He is the (co-) author of 4 (four) books in these topics, including the forthcoming textbook “Practical Image and Video Processing Using MATLAB” (Wiley, 2010). He has also

Wir stellen eine Architektur vor, die als Experimentierfeld zum Programmieren von Systemen mit mehreren Prozessoren gedacht ist. Deren Implementation besteht aus 12 identischen Prozessoren mit lokalen Speichern, die durch ein Netzwerk verbunden sind. Dazu wird ein einziger, programmierbarer Baustein (FPGA) verwendet.

Wir stellen eine Architektur vor, die als Experimentierfeld zum Programmieren von Systemen mit mehreren Prozessoren gedacht ist. Deren Implementation besteht aus 12 identischen Prozessoren mit lokalen Speichern, die durch ein Netzwerk verbunden sind. Dazu wird ein einziger, programmierbarer Baustein (FPGA) verwendet.

Driven by the emergence of mobile and pervasive computing there is a growing demand for context-aware software systems that can dynamically adapt to their run-time environment. This talk will present some results of projects MADAM and QuA which has delivered comprehensive solutions for the development and operation of context-aware, self-adaptive applications. The main contributions of these projects are sophisticated middlewares that support the dynamic adaptation of component-based applications, and an innovative model-driven development methodology which is based on abstract adaptation models and corresponding model-to-code transformations. The talk will focus on the support for application adaptivity at the middleware level, and our experiences with a few real-world case studies that were built using the MADAM and QuA approaches.

Fr

ank Eliassen is a professor and leader of the research group on networks and distributed systems at the University of Oslo. He is also a senior researcher and project manager at Simula Research Laboratory. He received his degrees from the University of Tromsø in 1979. He has been doing research in the area of distributed systems since the early 80’s and on multimedia streaming since 1994. In later years he has mainly been working on adaptation middleware, focusing on support for self-adaptation of QoS-aware applications and services, applied to the application areas multimedia streaming, mobile computing and Grid computing. He has been a member of the program committees of many renowned conferences, he has been the project manager of many RCN projects and participated in many European projects. He has published more than 100 academic papers.