[Imageworld] Call for Papers on Special Issue - Machine Vision and Applications Journal

[UCF Computer Vision Lab]

> 
> EDITORIAL BOARD
> 
> Editor-in-Chief
> Mubarak Shah
> University of Central Florida
> 
> Editorial Coordinator
> Cherry Place
> 
> Editorial Board
> Elli Angelopoulou
> University of Erlangen-Nuremberg
> 
> George Bebis
> University of Nevada
> 
> Kim Boyer
> Rensselaer Polytechnic Institute
> 
> Aurelio Campilho
> University of Porto
> 
> Enis Cetin
> Bilkent University
> 
> Chu-Song Chen 
> Academia Sinica
> 
> Isaac Cohen 
> United Technology Research Center
> 
> Rita Cucchiara
> Università di Modena e Reggio 
> Emilia
> 
> James Davis
> Ohio State University
> 
> Charles Dyer
> University of Wisconsin
> 
> Gang Hua
> Stevens Institute of Technology
> 
> Chung-Lin Huang
> National Tsing-Hua University
> 
> Omar Javed
> ObjectVideo
> 
> Ioannis Kakadiaris
> University of Houston
> 
> Ashraf Kassim
> National University of Singapore
> 
> Yasuyo Kita
> National Institute of Advanced 
> Industrial Science & Technology
> 
> Rakesh Kumar
> Sarnoff
> 
> Kyoung Mu Lee
> Seoul National University
> 
> Zheng Liu
> National Research Council Canada
> 
> Zicheng Liu
> Microsoft Research
> 
> Jiebo Luo
> Kodak Research Laboratories
> 
> Stephen McKenna
> University of Dundee
> 
> Thomas B. Moeslund
> Aalborg University
> 
> Vittorio Murino
> University of Verona
> 
> Margarita Osadchy
> University of Haifa
> 
> Nikos Paragios
> Ecole Centrale de Paris
> 
> Massimo Piccardi
> University of Technology, Sydney
> 
> Robert Pless
> Washington University
> 
> Fatih Porikli
> Mitsubishi Electric Research Labs
> 
> Nasir Rajpoot 
> University of Warwick
> 
> Ravishankar Rao
> IBM T.J. Watson Research Center
> 
> Eraldo Ribeiro
> Florida Institute of Technology
> 
> Amit Roy-Chowdhury
> University of California, Riverside
>  
> Nicu Sebe
> University of Trento
> 
> Rahul Sukthankar 
> Intel Research
> 
> Ping Tan
> National University of Singapore
> 
> Qi Tian
> University of Texas at San Antonio
> 
> Luc Van Gool
> Katholieke Universieit Leuven
> 
> Ying Wu
> Northwestern University
> 
> Jiangjian Xiao 
> Ningbo Institute of Advanced Manufacture Technology
> 
> Dong Xu
> Nanyang Technological University
> 
> Pingkun Yan 
> Chinese Academy of Sciences
> 
> Jie Yang 
> Carnegie Mellon University
> 
> Ruigang Yang
> University of Kentucky
> 
> Zhengyou Zhang
> Microsoft Research
> 
> Zhigang Zhu
> City College of New York
> 
> There is now a call for papers on a special issue of Machine Vision and Applications Journal. To submit a paper for publication consideration, visit Editorial Manager.
> 
> Call for Papers
> 
> Multimedia Event Detection
> 
> The amount of multimedia data being recorded, stored and shared is increasing daily, and the total sum of data is astronomical. For example, just on the site YouTube, video data is being uploaded at the rate of one hour a second or 31 million hours a year*. This yields practical problems when analysts or laypersons want to extract information from this huge data collection. What is needed are tools for automatic tagging, indexing and searching of multimedia data. This is clearly a grand challenge and needs to be divided into manageable sub-problems. One of the interesting sub-problems is automatic event detection in videos. Recently some success has been reported for event detection in structured surveillance scenarios using computer vision. But a far bigger challenge is to generalize event detection to unconstrained settings. To achieve this end, it is widely believed that exploiting multiple modalities (imagery, audio, text, speech, etc.) jointly is more likely to be successful as opposed to using a single modality. The aim of this special issue is to promote research on the important topic of multimedia event detection where image/video data plays a central role. 
> 
> Contributions related to all aspects of multimedia event detection are invited, including (but not limited to): 
> 
> - Representation, modeling and detection of multimedia events 
> - Exploitation of existing/prior knowledge and knowledge-bases for event detection 
> - Information fusion from audio, visual and text modalities 
> - Multimedia event search tools and strategies 
> - Human-in-the-loop: semi-automatic multimedia event detection 
> - Indexing techniques for fast event detection 
> - Metrics for probing multimedia events 
> - Definition and extraction of generic meta data 
> - Novel video-based event detection 
> - Interactive tools for navigating multimedia events 
> - Benchmark dataset construction for multimedia event detection 
> 
> *http://www.youtube.com/t/press_statistics
> 
> Important Dates:
> Manuscript Due: August 1, 2012
> First notification: October 1, 2012
> Final Decision: February 15, 2013
> Publication Date: June 1, 2013
> 
> Guest Editors:
> Thomas B. Moeslund, Aalborg University, Denmark
> Omar Javed, SRI International, Sarnoff Corporation, USA
> Yu-Gang Jiang, Fudan University, China
> R. Manmatha, University of Massachusetts, Amherst, USA
> 
> Web: www.vap.aau.dk/med
> 
> Contact: tbm at create.aau.dk
> 
> Submission and Selection:
> Submissions should follow the official guidelines of Machine Vision and Applications, which can be found at http://www.springer.com/computer/image+processing/journal/138. Prospective authors should submit quality and original manuscripts that have not appeared, nor are under consideration, in any other journals. Manuscripts should be submitted electronically through MVA submission system at http://www.springer.com/computer/image+processing/journal/138. All papers will be reviewed by at least three expert reviewers in relevant fields. Decision will be made based on the novel scientific and technical contribution and their suitability to the scope of this MVA special issue.
> ______________________________________________________
> 
> About MVA
> 
> Machine Vision and Applications journal publishes high-quality technical contributions in machine vision and its applications.
> 
> For applications oriented contributions it is expected they will deal with innovative applications of machine vision and will contain in depth experimental analysis on real world data sets. Specifically, the editors encourage submittals in all applications of image and video related computing including but not limited to Biometric analysis, Medical image analysis, Robot navigation, Surveillance system and Visual inspection. For theoretical contributions it is expected they will make significant contribution to the state of art.  All submissions including but not limited to  Image registration, Image retrieval, Action recognition, Object tracking, Target detection, Video retrieval are encouraged.
> 
>  
>  
> Machine Vision and Applications Journal | Springer | 233 Spring Street | New York | NY | 10013
> 

Cherry Place
Editorial Coordinator

Machine Vision and Applications Journal
407-823-6495 phone
407-823-0594 fax
mva-ec at eecs.ucf.edu e-mail
http://www.editorialmanager.com/mvap/

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