The talk will provide an outline of major model-driven engineering approaches to user interface design: we will cover data-driven approaches as well as task-driven ones, highlighting what are the key requirements for modern rich Internet applications, and why many of those approaches are suboptimal in terms of usability and design process.
The action-driven design approach will be then described, together with the basic design principles it rests upon. The UML-IDEA methodology will be introduced, which is based on using UML state machines and UML classes to provide the building blocks for automatically assembling widgets, data and control logic into an executable user interface. Several examples will be illustrated, and the equation Controller + Model = View will be discussed.
The overall claim will be that UML-IDEA supports a clear meaning for the term „interaction design“ whose operationalization should bring a number of advantages: rapid and flexible mix-fidelity prototyping, retargeting of the user interface, usability metrics and development of functional test cases.

Giorgio Brajnik is assistant professor in Computer Science at the University of Udine, Italy. His current interests are design, development and quality assessments of user interfaces, with an emphasis on accessibility, usability and user experience. In the past he worked on tools for testing accessibility, as well as information retrieval user interfaces and qualitative modeling of dynamical systems. He currently teaches „Usage centered design of web applications“ and „User experience“. He has been invited several times as visiting professor or panelist, and is member of many conference program committees as well as being a reviewer for different journals. In the past he served as scientific advisor for companies; in July 2012 he cofounded and is President of Interaction Design Solutions, a spin-off of the University of Udine that develops software for rapid prototyping and multiplatform deployment of user interfaces based on innovative model-based development practices. The company also provides consultancy services regarding usability and usage-centered design.

ABSTRACT: Tradeoffs between the packet delivery delay and other metrics are a recurring theme in Delay Tolerant Networks (DTNs). In this work we study these tradeoffs, first in a general, and then in a more specific, mobile wireless setting. We first develop a general setting in which the packet delivery delay can be traded off with a packet transportation cost that is comprised of a transmission cost and a storage cost. We capture this tradeoff on the cost-delay plane using Optimal Cost/Delay Curves (OC/DCs), for the case where the nodes route packets optimally, and Achievable Cost/Delay Curves (AC/DCs), for the case where the nodes route packets according to a suboptimal routing protocol. We then apply this framework to mobile wireless DTNs. We develop a class of geographic routing protocols with delay-tolerant features and we compare them with other state-of-the-art routing protocols, using their respective AC/DCs, and with the performance achieved with optimal routing, in terms of the OC/DC. Our protocols are shown to achieve cost/delay tradeoffs much closer to the optimal one than all other protocols we examine.

BIO: Stavros Toumpis received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece, in 1997, the M.S. degrees in Electrical Engineering and Mathematics from Stanford University, CA, in 1999 and 2002, espectively, and the Ph.D. degree in Electrical Engineering, also from Stanford, in 2003. From 1998 to 1999 he worked as a Research Assistant for the Mars Global Surveyor Radio Science Team, providing operational support. From 2000 to 2003 he was a Member of the Wireless Systems Laboratory, at Stanford University. From 2003 to 2005 he was a Senior Researcher with the Telecommunications Research Center Vienna (ftw.), in Vienna, Austria. From 2005 to 2009 he was a Lecturer at the Electrical and Computer Engineering Department of the University of Cyprus. Starting from 2009, he is an Assistant Professor in the Computer Science Department of the Athens University of Economics and Business. His research is on wireless ad hoc networks, with emphasis on their capacity, the effects of mobility on their performance, medium access control, and information theoretic issues.

Der Rückblick zum TEWI-Kolloquium von Karel Fliegel, Czech Technical University in Prague am 23.11.2012 beinhaltet die Folien:

Abstract: Success of current and future developments in QoE largely depends on availability of proper multimedia content. One of the goals within the interests of the COST Action IC1003 QUALINET and its Working Group 4 (Databases and Validation) is to create rich and internationally recognized database of content of different sorts and take the steps to make it accessible to all researchers. In this talk we will give an overview of current status of this effort with brief description of currently available databases and explanation on how these databases can be used for QoE evaluations and benchmarking. Moreover, we will focus on the Qualinet Databases online tool as Qualinet’s main resource for sharing of the datasets among Qualinet members and scientific community.

CV: Karel Fliegel (born in 1979) received his Ing. (M.Sc.) degree in electrical engineering, specialization in audiovisual technology, from the Czech Technical University in Prague, Czech Republic in 2004 and Ph.D. from the same university in 2011. Currently he holds a position

of assistant professor in the Multimedia Technology Group (MMTG) at the CTU in Prague. His research interests include image processing, imaging systems, image and video compression, QoE in multimedia systems. He is a deputy leader in WG 4 (Databases and Validation) of COST Action IC1003 QUALINET.

Der Rückblick zum TEWI-Kolloquium von Judith Redi, TU Delft am 23.11.2012 beinhaltet die Folien:

Abstract: Machine learning has been recently shown to be a very promising tool to support automated QoE assessment. Its ability to mimic highly non-linear, complex phenomena, such as user experience and quality judgment, is extremely appealing for the implementation of on-line, accurate QoE control systems. Nevertheless, applying Machine Learning to QoE is an high risk, high gain approach: if misused, it can lead to poorly flexible and unreliable systems. Key to the attainment of all the gain without risks is a profound understanding of the advantages and limitations that characterize learning machines. Even more important is a strong knowledge of the phenomenon to be mimicked, that is, the user experience.
In this talk, theoretical background, applicative tips and practical examples will be reviewed, with the aim of drawing guidelines for the successful application of Machine Learning to objective QoE assessment.

CV: Judith Redi is Assistant Professor at Delft University of Technology, department of Intelligent Systems, since 2010. She obtained her PhD from the University of Genoa (Italy) in 2010, with a thesis on learning machines for objective image quality assessment, final result of a project on

visual quality in displays funded by Philips research. After receiving the award for the best ICT thesis from University of Genoa, she worked as a Post-Doc at Eurecom (France) focusing on image analysis and computer vision. At TU Delft, she works on image and video understanding towards the maximization of the quality of multimedia experiences, for which she was awarded an NWO Veni grant in 2012. She is coordinator of the Qualinet (COST IC1003) Industrial Forum and Management Committee member for the Qualinet COST action.

Der Rückblick zum TEWI-Kolloquium von Savvas Argyropoulos, Telekom Innovation Labs, TU Berlin am 23.11.2012 beinhaltet die Folien:

Abstract: The proliferation of IPTV services during the last years has necessitated the development of objective video quality assessment methods. It has become evident that network parameters which define the Quality of Service (Qos) are not sufficient to estimate the service quality perceived by the user, typically referred to as Quality of Experience (QoE). This talk will present an objective no-reference bitstream and hybrid video quality assessment method and provide details on the algorithms which are employed to evaluate different types of degradations, such as compression artefacts, packet loss impairments, playback freezing and re-buffering .

CV: Savvas Argyropoulos received the Diploma and Ph.D. degrees in electrical and computer engineering from the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Hellas, in 2004 and 2008, respectively. He is currently a research scientist at Deutsche Telekom Innovation Laboratories (T-Labs), in Berlin, Germany. His research interests include video quality assessment, video coding and transmission, distributed source coding, and perceptual video coding.

Der Rückblick zum TEWI-Kolloquium von Antonio Pinheiro, U.B.I. am 23.11.2012 beinhaltet die Folien:

Abstract: The low sensibility revealed by humans to the chromatic information is well known since a long time. That fact was always explored in color multimedia systems! In particular, the early analog color TV systems always had a very reduced amount of chromatic information compared with the amount of luminance information. In this talk, an evaluation of the influence of the chromatic information on QoE of still images is presented. For that, a set of images used for testing are represented in the CIE 1976 (L*a*b*) color space because it is partially uniform and highly related with the human perceptual notion of color. After clustering the image colors, a random error of known magnitude is given to each color cluster on the chromatic components a* and b*, keeping L* constant. With this method images are not degraded by artefacts induced by color discontinuities. A calibrated true color system is used for evaluation of the individuals’ sensibility to color changes. Using the Medium Opinion Score the sensibility to color changes was evaluated and further modelled. As expected, a very low sensibility to chromatic changes was revealed. Finally, objective models for chromatic errors are discussed and the relation between the quality and the emotional state of the subjects is considered.

CV: António M. G. Pinheiro is a lecture at U.B.I. (University of Beira Interior), Covilha, Portugal. After graduated in IST, Portugal in 1988 he worked as Assistant Lecture in U.B.I. In 1998 joined the University of Essex, U.K., where, he received the PhD in Electronic Systems Engineering in 2002 under the supervision of Prof. Mohammed Ghanbari. He is a Portuguese representative in the European Union Action COST IC1003, QUALINET – European Network on Quality of Experience in Multimedia Systems and Services and was a Portuguese representative of COST – 292, Semantic Multimodal Analysis of Digital Media. He is also the coordinator of the research Group Electronic and Computer Systems of the Remote Sensing Unit. Antonio Pinheiro has lectured several courses on Signal and Image Processing and on Digital Systems Design and Microprocessors Architectures and Applications.

Der Rückblick zum TEWI-Kolloquium von Patrick Le Callet, Univ. of Nantes am 23.11.2012 beinhaltet die Videoaufzeichnung sowie die Folien:

Video

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Slides

Abstract: S-3DTV (Stereoscopic-3DTV), HDR (High Dynamic range), 4K are recent considered technologies to improve the viewer experience. Nevertheless, such technologies are really useful only if properly tuned to increase the Quality of Experience (QoE). For instance, S-3DTV (stereoscopic-3DTV) is supposed to provide enhanced depth perception to viewer but might affect other factors of user experience. Subjective assessment is the most direct way to assess quality of experience (QoE). However, conventional assessment methods are not sufficient to evaluate the QoE of S-3DTV. This talk aims to review the challenge of QoE assessment through use cases related to S-3DTV and HDR. Methodologies to evaluate QoE with observers will be discussed, including environment conditions, scales and display characterization.

CV: Patrick LE CALLET is full professor at Ecole polytechnique de l’université de Nantes (Engineer School) in the Electrical Engineering and the Computer Science department where. Since 2006, he is the head of the Image and VideoCommunication lab at CNRS IRCCyN, a group of more than 35 researchers. He is mostly engaged in research dealing with the application of human vision modeling in image and video processing. His current centers of interest are 3D image and video quality assessment, watermarking techniques and visual attention modeling and applications. He is co-author of more than 150 publications and communications and co-inventor of 13 international patents on these topics. He has coordinated and is currently managing for IRCCyN several National or European collaborative research programs representing grants of more than 2,5 million euros. He is serving in VQEG (Video Quality Expert Group) where is co-chairing the „HDR Group“ and „3DTV“ activities. He is currently serving as associate editor for IEEE transactions on Circuit System and Video Technology, SPIE Journal of Electronic Imaging and SPRINGER EURASIP Journal on Image and Video Processing.