Tutorial " Content-Based Image and Video Retrieval"
Speakers:Theo Gevers, Nicu Sebe, Arnold Smeulders
Overview
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
they grow, the more prominently needed is the efficient access to the
content of the images and videos.
In this short course, 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 such as color, shape and texture
information, particularly paying attention to discriminatory power and
invariance. Then, we focus on the concepts of indexing and genre
classification as intermediate step to sort the data. We pay attention
to (interactive) ways to perform browsing and retrieval by means of
information visualization and relevance feedback. Methods are being
discussed to localize the retrieved objects in images.
Outline
The following important aspects will be covered:
Feature extraction and learning
Object recognition and image classification
Visual tracking
(Active) learning in image and video retrieval
Affective video retrieval
Video retrieval benchmarking
Applications in image and video retrieval
Biographies
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. Further, he is a lecturer of post-
doctoral courses given at various major conferences (CVPR, ICPR, SPIE,
CGIV). He is member of the IEEE.
http://www.science.uva.nl/~gevers/
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 the following books: Robust
Computer Vision -Theory and Applications (Kluwer, April 2003) and Machine
Learning in Computer Vision (Springer, May 2005). He was a guest editor of
a CVIU special issue on video retrieval and summarization (December 2003)
and was the co-chair of ACM Multimedia Information Retrieval Workshops,
MIR' 03 & MIR' 04 (in conjunction with ACM Multimedia conferences). He also
was the co-chair of the first Human Computer Interaction Workshop, HCI' 04
(in conjunction with ECCV 2004) and of the IEEE Workshop on Human computer
Interaction Workshop (in conjunction with ICCV 2005). He is the guest
editor of three special issues on multimedia information retrieval and
human computer interaction in ACM Transactions on Multimedia Computing,
Communication, and Applications, ACM Multimedia Systems, and Image and
Vision Computing. He was the technical program chair for the International
Conference on Image and Video Retrieval, CIVR 2003. He 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.
http://www.science.uva.nl/~nicu/
Arnold W.M. Smeulders is Professor of Computer Science in Multi Media
Information Analysis. He heads the Intelligent Sensory Information Systems
ISIS-group at the University of Amsterdam. His current research interest is
in computer vision from first principles, texture and material perception,
image retrieval and learning object segmentation and visual concepts rather
than modelling it and the language - pictorial barrier. He has published
some 200 papers and an equal amount of conference contributions. Last year
he has edited special issues on content-based image retrieval for IJCV and
CVIU. This year he is program chair of the CIVR conference on Image and
Video Retrieval. He is a fellow of the IAPR and an associated editor of
IJCV.
http://www.science.uva.nl/~smeulders/
