Der Rückblick zum TEWI-Kolloquium von Dr. Oge Marques am 21-05-2013 beinhaltet die Videoaufzeichnung sowie die Folien:

Video

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Slides

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Abstract:
There are many challenging problems in computer vision for which state-of-the-art solutions fall short of performing perfectly. The realization that many of these tasks are arduous for computers yet are relatively easy for humans has inspired many researchers to approach those problems from a human computation viewpoint, using methods that includecrowdsourcing and games – often called ‘games with a purpose’ (GWAPs). The talk discusses how we can use human computation (in general) and particularly games to help uncover hidden aspects of visual perception and use these findings to improve computer vision solutions to related problems. It particularly highlights two examples of our recent work on the topic:
1.   Guess That Face (with Mathias Lux and Justyn Snyder, CHI 2013): a face recognition game that reverse engineers the human biological threshold for accurately recognizing blurred faces of celebrities under time-varying conditions.
2.   Ask’N’Seek (with Vincent Charvillat and Axel Carlier, ECCV 2012): an object detection and labeling game that asks users to guess the location of a hidden region within an image with the help of semantic and topological clues and uses the information collected from game logs, combined with results from content analysis algorithms, to feed a machine learning algorithm that outputs the outline of the most relevant regions within the image and their names.

Short CV:
Oge Marques is an Associate Professor in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University (FAU) (Boca Raton, Florida). He received his Ph.D. in Computer Engineering from FAU in 2001. He has more than 20 years of teaching and research experience in the fields of image processing and computer vision, in different countries (U.S., Austria, Brazil, Netherlands, Spain, France, and India), languages (English,Portuguese,Spanish), and capacities.He is the (co-) author of more than 50 refereed journal and conference papers and several books in these topics, including the textbook Practical Image and Video Processing UsingMATLAB (Wiley, 2011). His research interests are in the area of intelligent processing of visual information, which combines the fields of image processing, computer vision, image retrieval, machine learning, serious games, and human visual perception. He is particularly interested in the combination of human computation and machine learning techniques to solve computer vision problems.

He is a senior member of both the ACM and IEEE, and a member of the IEEE Computer Society, IEEE Education Society, IEEE Signal Processing Society, and the honor societies of Tau Beta Pi, Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.

Der Rückblick zum TEWI-Kolloquium und Antrittsvorlesung von Prof. Dr. Martin Pinzger am 24.04.2013 beinhaltet die Videoaufzeichnung sowie die Folien:

Video

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Slides

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Abstract: Software is omnipresent. It is key to successful businesses and has become key to our social activities. As many systems, also software systems need to change in order to stay successful on the market. However, these changes cause software systems to become larger in size and more complex as described by Lehman’s Laws of Software Evolution. As a consequence, more resources are needed to maintain, or in general, evolve a software system. Evolving software systems is therefore mastering change and system complexity. The goal of my research and teaching is to provide software engineers with means to master this challenge.

In this inauguration lecture, I outline several challenges of evolving software systems and present the ideas and findings from my recent research to address them. In particular, I show how we can use the history of software projects to identify critical parts of a software system and how we can use visualization techniques to help software engineers to understand the implementation of large, complex software systems including large spreadsheets.

CV: Martin Pinzger is Professor of Software Engineering and head of the Software Engineering Research Group at the University of Klagenfurt. His research interests cover various topics in designing and evolving software systems. He holds a PhD in Computer Science from the Vienna University of Technology, worked as a Senior Research Associate at the University of Zurich, and as an Assistant Professor at the Delft University of Technology. He is a recipient of the prestigious Dutch NWO Vidi grant and co-founder of the TU Delft start-up Infotron.

Abstract:

The use of software development methods (SDM) in software industry proves beneficial as it contributes to higher quality of both, the process and its product, i.e. the developed software. Despite these evident benefits, the studies on the maturity of the software development discipline show that a large percent of software development companies do not have their SDMs documented and those that have, do not really follow them or do not follow them rigorously. This problem has been recognized as one of the key reasons for failures in software development projects and a contributor to the low quality of software. In this talk I will introduce a novel approach that could help to improve the maturity of software development processes. The approach is based on the method engineering principles taking into account the limitations that hinder its use in practice. The main objective of our research is to show that the method engineering concepts which have been developed in the last few decades but never really penetrated to practice are applicable in real settings and that could contribute to software industry.

About the Speaker:

Marko Bajec is an Associate Professor at the University of Ljubljana, Faculty of Computer and Information Science. He is a member of the Department for Informatics where he delivers courses on Information Systems and Databases. Marko’s research interests mostly focus on IS Development and IT Governance. Since 2009, he has been on the position of the Head of the Laboratory for Data Technologies where he manages research in data technologies in relation to IS development and management. In his past research Marko has developed different approaches and methods that help measuring, formalizing, and improving software development processes. For his achievements in transferring knowledge to industry he has got several awards and recognitions. Marko Bajec is vice-president of Slovenian society INFORMATICA and Slovenian representative of IFIP TC 2 – Software: Theory and Practice. He is also a founder and co-owner of the university spin-off Optilab, which has become the leading Slovenian provider of solutions and services for fraud management in the insurance business.