Spring 2017 Lineup
“Multidimensional Compression of Multimedia Data”
Apr 04, 1:00
3211, EB2 NCSU Centennial Campus
Abstract: Development of multimedia systems over the past three decades has been truly revolutionary. There is a growing demand for multimedia applications in diverse application areas, such as medical imaging, telemedicine, content-based image analysis, compression, and so on. These challenges required significant innovation in computational techniques for nearly all aspects of image processing as used in the various fields, especially in extending from two-dimensional (2D) images to three-dimensional (3D) volumetric images. Of special interest are segmentation and motion estimation techniques which will be addressed in this presentation. Focus will be on presenting a novel framework for a four-dimensional medical data compression architecture based on different procedures and algorithms that detect time and spatial redundancy in the context of recorded Magnetic Resonance Imaging data.
Short Bio: Martin Žagar has PhD in Computer Science from the University of Zagreb, MBA from Cotrugli Business School, and MS from the University of Zagreb. He is an Assistant Professor at the University of Zagreb, College of Electrical Engineering and Computing, Department of Control and Computer Engineering. Dr. Žagar works in the area of multimedia applications, computer architecture and telemedicine. He is an associate editor for several research journals. Dr. Žagar has received a number of awards, including one from the Croatian Academy of Engineering.
Host: Dr. Mladen Vouk, CSC
“Toward a Framework for Inferring Individual-Level Characteristics from Digital Trace Data”
Mar 15, 5:30 p.m.
Mountains Ballroom, Talley Student Union
Abstract: Digital traces—records of online activity automatically recorded by the servers that undergird all online activity—allow us to explore age-old communication research questions in unprecedented ways. But one of the greatest challenges in doing so is managing the gap between the research’s conceptual focus and the set of readily available traces. Not every type of trace will be equally valuable from a particular research standpoint, and not every interesting concept will be measurable using the traces to which researchers have access. The purpose of this presentation is to contribute to the development of a framework for assessing the construct validity of conceptual inferences drawn from digital traces. In it, I will define four platform-independent domains researchers should bear in mind when choosing traces for analysis: technical design, terms of service (TOS), social context, and the potential for misrepresentation. I will illustrate the value of this framework in discussions of three individual-level characteristics of broad interest to communication researchers and others: gender, race/ethnicity, and geographic location.
About Dr. Freelon: Deen Freelon is an associate professor in the School of Communication at American University in Washington DC. He has two major areas of expertise: 1) political expression through digital media, and 2) the use of code and computational methods to extract, preprocess, and analyze very large digital datasets. Freelon has authored or co-authored over 30 journal articles, book chapters, and public reports, in addition to co-editing one scholarly book. He has served as co-principal investigator on grants from the Spencer Foundation and the US Institute of Peace thus far. He is the creator of ReCal, an online intercoder reliability application that has been used by thousands of researchers around the world; and TSM, a network analysis module for the Python programming language.
Reception to immediately follow in the Piedmont Ballroom.
About RED Talks
The Data Science Initiative at NC State hopes to raise awareness of the breadth and depth of data science across campus as well as to continue to grow and engage the data science community at NC State by sponsoring RED Talks, Where Data Meets Science. RED Talks will consist of an hour long, data science related talk from local and national leaders in data science. In addition to promoting data science at NC State, our aim is to also spur interdisciplinary collaboration through a series of networking events, following the talks, where faculty and researchers from across campus, and more importantly across disciplines, can meet and engage with each other as well as with the larger data science community within the Triangle. Further, one RED Talk per semester will also include additional activities to promote existing research on campus and cultivate new interdisciplinary approaches.
Note to CSC and Statistics Graduate Students – these lectures have been approved to count toward the required lectures for graduate students. For Statistics grad students, there will be a sign-in sheet at the front. Download CSC seminar attendance form.