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AISB miscellaneous Bulletin Item

CF Book Chapters: Video Mining


Video Mining
Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang 
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.

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:

o	Video clustering and categorization
o	Video-based object recognition 
o	Video segmentation and summarization
o	Video feature extraction and representation
o	Video indexing and retrieval
o	Video search engines
o	Video editing and browsing systems
o	Visual event and activity detection
o	Statistical techniques for video analysis
o	Semantic video content analysis
o	Video processing for HCI
o	Video surveillance (person identification, abnormal activity labeling, etc.) 
o	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        

Prof. Dan Schonfeld
Department of Electrical & Computer Engineering 
University of Illinois at Chicago, Chicago, IL 60607-7053, USA
Email: dans@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@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@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@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.