Der Rückblick zum TEWI-Kolloquium von Christian Beecks, RWTH Aachen am 10.01.2012 beinhaltet die Videoaufzeichnung sowie die Folien:

Video

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

Slides

Abstract:

With the growing amount of images, videos, and music, the task to support users in exploring multimedia databases is of ever-increasing importance. That is why numerous content-based browsing approaches have been developed. They support users in searching and browsing for multimedia objects in an interactive and playful way. In terms of query performance, however, these browsing approaches are frequently limited to small-to-moderate size databases. The question of how to efficiently browse large-scale multimedia databases yet remains to be answered.

In this talk, I will provide an overview of efficient query processing techniques applicable to content-based browsing systems. To this end, I will first introduce the domain of adaptive distance-based similarity measures and show how to model image similarity in a flexible way. I will then present recent developments for efficient exploration query processing by means of similarity-based visualizations and metric indexing. Finally, I will show how to browse millions of multimedia objects in a few seconds.

Abstract:  

Mobile Visual Search (MVS) is a fascinating research field with many open challenges and opportunities which have the potential to impact the way we organize, annotate, and retrieve visual data (images and videos) using mobile devices. This talk is structured in four parts:
(i) MVS — opportunities: where I present recent and relevant numbers of the mobile computing market, particularly in the field of photography apps, social networks, and mobile search.

(ii) Basic concepts: where I explain the basic MVS pipeline and discuss the three main MVS scenarios and associated challenges.

(iii) Advanced technical details: where I explain technical aspects of feature extraction, indexing, descriptor matching, and geometric verification, discuss the state of the art in these fields, and comment on open problems and research opportunities.

(iv) Examples and applications: where I show recent and significant examples of academic research (e.g., Stanford Product Search System) and commercial apps (e.g., Google Goggles, oMoby, kooaba) in this field.

Dr. Oge Marques is an Associate Professor and Associate Chairman in the Department of Computer and Electrical Engineering & Computer Science at Florida Atlantic University in Boca Raton, Florida. He is currently a guest professor with ITEC at Klagenfurt University. He received his Ph.D. in Computer Engineering from Florida Atlantic University in 2001, his Masters in Electronics Engineering from Philips International Institute / Eindhoven University of Technology (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. He has been teaching undergraduate and graduate students for more than 20 years. His research experience has been mostly in the fields of image processing and computer vision. He is the (co-) author of four books in these topics, including the recently released textbook „Practical Image and Video Processing Using MATLAB“ (Wiley-IEEE Press, 2011). He is a Senior Member of both the IEEE and the ACM.

This talk will present SPLAY, an integrated system that facilitates the design, deployment and testing of large-scale distributed applications. Unlike existing systems, SPLAY covers all aspects of the development and evaluation chain. It allows developers to express algorithms in a concise, simple language that highly resembles pseudo-code found in research papers. The execution environment has low overheads and footprint, and provides a comprehensive set of libraries for common distributed systems operations. SPLAY is freely available from http://www.splay-project.org/.

CV: Pascal Felber received his M.Sc. and Ph.D. degrees in Computer Science from the Swiss Federal Institute of Technology. From 1998 to 2002, he has worked at Oracle Corporation and Bell-Labs (Lucent Technologies) in the USA. From 2002 to 2004, he has been an Assistant Professor at Institut EURECOM in France. Since October 2004, he is a Professor of Computer Science at the University of Neuchâtel, Switzerland, working in the field of dependable and distributed systems. He has published over 80 research papers in various journals and conferences.

With the growing amount of images, videos, and music, the task to support users in exploring multimedia databases is of ever-increasing importance. That is why numerous content-based browsing approaches have been developed. They support users in searching and browsing for multimedia objects in an interactive and playful way. In terms of query performance, however, these browsing approaches are frequently limited to small-to-moderate size databases. The question of how to efficiently browse large-scale multimedia databases yet remains to be answered.

In this talk, I will provide an overview of efficient query processing techniques applicable to content-based browsing systems. To this end, I will first introduce the domain of adaptive distance-based similarity measures and show how to model image similarity in a flexible way. I will then present recent developments for efficient exploration query processing by means of similarity-based visualizations and metric indexing. Finally, I will show how to browse millions of multimedia objects in a few seconds.