The talk addresses the challenge of image and video visualization on mobile devices. Nowadays, mobile devices like tablets or smartphones are widely used for the capturing and the visualization of multimedia data. The resolution of the display and of the captured pictures does typically not match, and the image content is thus scaled down when presented. This may cause a significant loss in picture quality, where details are no longer recognizable. Also, scaling does not work well when the aspect ratios of the picture and the screen differ. Unnaturally stretched objects are a result. On the contrary, image and video retargeting techniques like seam carving or warping only modify non-relevant image areas and preserve the most important visual content.
The talk presents state-of-the-art algorithms for image and video retargeting. These methods identify and preserve important objects in images and videos, combine different retargeting operators, and – in the case of video retargeting – avoid temporal inconsistencies. Extensions for stereoscopic images and videos are discussed as well.

Short CV: Dr. Stephan Kopf received his diploma in business informatics (2000) and his Ph.D. in computer science (2007) both from the University of Mannheim (Germany). He completed his habilitation (postdoctoral lecture qualification) in 2012 and is currently working as senior researcher and lecturer at the Department of Networks and Multimedia at the University of Mannheim. His research focuses on multimedia content analysis, media retargeting, high dynamic range video, shape-based object recognition, and digital video watermarking. He has published over 80 refereed journal and conference papers in these fields. Dr. Kopf received the best paper award at the ACM Multimedia Systems conference in 2014. He served as technical program chair of ACM ICIMCS, as guest editor of MTAP, and on the program committee of several conferences and workshops. He is a member of IEEE, ACM and ACM SIGMM.

Der Rückblick zum TEWI-Kolloquium von Max Mühlhäuser am 26.01.2015 beinhaltet die Videoaufzeichnung sowie die Folien:

Video

[iframe height=“350″ src=“http://video.aau.at/video.php?video=ftf_muehlhaeuser.mp4″]

Slides

Abstract:

Ever more multimedia data gets produced, stored, and shared. This is a well-known phenomenon and quite common for information technology, one might say, but multimedia as a field of computing has always been aiming at humans rather than computers as ultimate consumers: computing was mostly an auxiliary on the path from media creation to human consumption. Despite increasing automation, human consumption is likely to remain the dominating multimedia use case. Since humans have rather fixed sensing and processing capabilities, the dramatic increase in multimedia data production and online availability poses particular “ multimedia big data“ challenges – the more so since the characteristics of multimedia make the well-known „four V“ of big data particularly virulent.

In light of the aforementioned development, the talk will look at big data challenges for multimedia and at upcoming approaches to meeting these challenges. The problem space will be structured according to an imaginary „processing pipeline“ that starts from media capturing via networking and storage/processing until presentation/consumption. Some nonfunctional aspects such as privacy will be addressed, too.

Bio: Max Mühlhäuser is a Full Professor of Computer Science at Technische Universität Darmstadt, Germany, and head of the Telecooperation Lab. In 1986, he received his Doctorate from the University of Karlsruhe and soon afterwards founded the first European research center for Digital Equipment Corp. (DEC). Since 1989, he worked as either professor or visiting professor at universities in Germany, Austria, France, Canada, and the US. Max published more than 450 articles, co-authored and edited books about Ubiquitous Computing, E-learning, and distributed & multimedia software engineering. Max is deputy speaker of a nationally funded cooperative research center on the Future Internet and directorate member of the Center for Advanced SEcurity research Darmstadt (CASED).