Theo Gevers, Nicu Sebe and Arnold W.M. Smeulders, Universiteit van Amsterdam (UvA)
The growing capacity of computers, the abundance of digital cameras, and the increased connectivity of the world all point to large digital multimedia archives. They include images and videos from the World Wide Web, museum objects, flowers, trademarks, and views from everyday life. The faster these archives grow, the more prominent becomes the need for efficient access to the content of the images and videos.
In this tutorial, we will give a survey of the most recent developments on image and video search engines. First, the important step of feature extraction will be discussed in detail including color, shape, and texture information, with particular attention to discriminatory power and invariance. We will then focus on the concepts of indexing and genre classification as an intermediate step to sort the data. We will pay attention to interactive ways to perform browsing and retrieval by means of information visualization and relevance feedback. Methods will be discussed to localize the retrieved objects in their images.
This tutorial will enable you to:
This tutorial is intended for scientists, engineers, application developers, image processing specialists, and others interested in the area of visual information content management and visual information search. A basic understanding of image processing is a prerequisite.
Theo Gevers is an Associate Professor of Computer Science at the University of Amsterdam, The Netherlands and an ICREA Research Professor at the Computer Vision Center (UAB), Barcelona, Spain. At the University of Amsterdam he is a teaching director of the MSc of Artificial Intelligence. His main research interests are in the fundamentals of content-based image retrieval, colour image processing and computer vision specifically in the theoretical foundation of geometric and photometric invariants. He is co-chair of the Internet Imaging Conference (SPIE 2005, 2006), co-organizer of the First International Workshop on Image Databases and Multi Media Search (1996), the International Conference on Visual Information Systems (1999, 2005) and the Conference on Multimedia & Expo (ICME, 2005). He is guest editor of the special issue on content-based image retrieval for the International Journal of Computer Vision (IJCV 2004) and the special issue on Colour for Image Indexing and Retrieval for the journal of Computer Vision and Image Understanding (CVIU 2004). He has published over 100 papers on colour image processing, image retrieval and computer vision. He is program committee member of a various number of conferences, and an invited speaker at major conferences. He is a lecturer of post-doctoral courses given at various major conferences (CVPR, ICPR, SPIE, CGIV). He is member of the IEEE.
Nicu Sebe is an assistant professor in the Faculty of Science, University of Amsterdam, The Netherlands, where he is doing research in the areas of multimedia information retrieval and human-computer interaction in computer vision applications. He is the author of Robust Computer Vision - Theory and Applications (Kluwer, April 2003) and Machine Learning in Computer Vision (Springer, May 2005). Sebe was a visiting researcher in the Beckman Institute, University of Illinois at Urbana-Champaign (2002) and was a research fellow of the British Telecomm in Ipswich, UK (2003). He has published more than 60 technical papers in the areas of computer vision, content-based retrieval, pattern recognition, and human-computer interaction and has served on the program committee of several conferences in these areas. He is a member of the IEEE and the ACM.