[Imageworld] Call for Book Chapters: Video Search and Mining
(Springer-Verlag)
Shan, Kevin
caifeng.shan at philips.com
Fri Dec 19 10:11:22 CET 2008
CALL FOR BOOK CHAPTERS
"Video Search and Mining"
To be PUBLISHED BY
Springer-Verlag in the series "Studies in Computational Intelligence"
BOOK DESCRIPTION
As cameras become more pervasive in our daily life, vast amounts of video are generated. The popularity
of YouTube and similar websites provides strong evidence for the increasing role of video in our lives.
How to effectively use the huge and rapidly growing video data accumulating in large multimedia archives
is one of main challenges we are facing in the era of information technology. Innovative video processing
and analysis techniques will play an increasingly important role in resolving the difficult task of video
search and retrieval. A wide range of video-based applications will benefit from advances in video mining
including multimedia search, human-computer interface, security and surveillance, copyright protection,
and personal entertainment, to name a few. This book will provide an overview of emerging new approaches
to video mining and promising methods being developed in the computer vision and image analysis community.
Video mining aims to discover and describe interesting patterns in video data and has become one of the
core areas in the data mining research community. Compared to mining of other types of data (e.g., text),
video mining is still in its infancy. There are many challenging research problems facing video mining. For
example, how to extract knowledge from spatio-temporal data, how to infer high-level semantic concepts from
low-level features in videos, how to exploit unlabeled and untagged video data. Applying data mining
techniques to video data is difficult due to the large volume of high-dimensional video data. To address
these challenges, we must develop data mining techniques and approaches that are suitable to video data.
The objective of this book is to present the latest advances in video mining and analysis techniques
covering both theoretical approaches and real applications. The book is expected to provide researchers
and practitioners a comprehensive understanding of the start-of-the-art of video mining techniques and
a resource for potential applications and successful practice. This book will also serve as an important
reference tool and handbook for researchers and practitioners in video mining.
The target audience of this book will be mainly composed of researchers and engineers as well as graduate
students working on video analysis in various disciplines, e.g. computer vision, pattern recognition,
information technology, image processing, artificial intelligence, etc. The book is meant to be accessible
to a broader audience including practicing professionals working in video applications such as video
surveillance, video indexing and retrieval, etc.
TOPICS
The call for chapters aims to solicit research contributions that address theory and practice in video
mining and video-based applications. Tentative topics of interest include, but are not limited to, the
following:
-- Video clustering and categorization
-- Video-based object recognition
-- Video segmentation and summarization
-- Video feature extraction and representation
-- Video indexing and retrieval
-- Video search engines
-- Video editing and browsing systems
-- Visual event and activity detection
-- Statistical techniques for video analysis
-- Semantic video content analysis
-- Video processing for HCI
-- Video surveillance (person identification, abnormal activity labeling, etc.)
-- Consumer video applications (sports highlight detection, commercial message extraction, etc.)
SUBMISSION PROCEDURE
Authors are invited to submit chapter proposals before January 15, 2009. The 1-2 page chapter proposals
should contain a title, abstract and a preliminary outline of the organization of the chapter. The abstract
must clearly explain the aim and scope of the proposed chapter. Proposals will be evaluated based on the
relevance of the chapter to the book, contribution to the video mining community, and balance among the
topics covered in the book.
Authors of accepted proposals will be notified by February 1, 2009. Full chapters are expected to be
submitted no later than May 1, 2009. All submitted chapters will be reviewed using a double-blind review.
Careful preparation of the manuscripts will help keep the production time short and ensure publication of
the chapter in the book. Please prepare the manuscript as instructed in Springer-Verlag's author's guidelines
for the series "Studies in Computational Intelligence" at http://tinyurl.com/3wtqxb. Submissions and
inquiries should be forwarded by email to the editors.
IMPORTANT DATES
Deadline for chapter proposals (title, abstract, outline): January 15, 2009
Notification of proposal status (acceptance/rejection): February 1, 2009
Deadline for submission of full chapters: May 1, 2009
Notification of acceptance/rejection of chapters: July 1, 2009
Deadline for submission of final chapters: August 1, 2009
EDITORS
Prof. Dan Schonfeld
Department of Electrical & Computer Engineering
University of Illinois at Chicago, Chicago, IL 60607-7053, USA
Email: dans at uic.edu
URL: http://www.ece.uic.edu/~ds
Dr. Caifeng Shan (main contact)
Philips Research
High-Tech Campus 36, 5656 AE, Eindhoven, The Netherlands
Email: caifeng.shan at gmail.com
URL: http://www.dcs.qmul.ac.uk/~cfshan
Dr. Dacheng Tao
Department of Computing
Hong Kong Polytechnic University, Kowloon, Hong Kong, China
Email: dacheng.tao at gmail.com
URL: http://www4.comp.polyu.edu.hk/~csdct
Dr. Liang Wang
Department of Computer Science and Software Engineering
The University of Melbourne, Parkville, Vic 3010, Australia
Email: lwwang at csse.unimelb.edu.au
URL: http://www.csse.unimelb.edu.au/~lwwang
ABOUT THIS SERIES
The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the
various areas of computational intelligence - quickly and with a high quality. The intent is to cover the
theory, applications, and design methods of computational intelligence, as embedded in the fields of
engineering, computer science, physics and life science, as well as the methodologies behind them. The
series contains monographs, lecture notes and edited volumes in computational intelligence spanning the
areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial
intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid
intelligent systems. Critical to both contributors and readers are the short publication time and world-wide
distribution - this permits a rapid and broad dissemination of research results.
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